### Mastra Installation Guide

Source: https://mastra.ai/docs/observability/logging

A guide on installing Mastra and setting up prerequisites for various LLM providers. It covers the initial setup required to start using the Mastra framework.

```bash
Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers.
```

--------------------------------

### Mastra Getting Started - Installation Page

Source: https://mastra.ai/examples/scorers/toxicity

Provides front matter details for the Mastra installation guide, including title, description, and file path.

```json
{
  \"name\":\"installation\",
  \"route\":\"/en/docs/getting-started/installation\",
  \"frontMatter\":{
    \"title\":\"Installing Mastra | Getting Started | Mastra Docs\",
    \"description\":\"Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers.\",
    \"filePath\":\"src/content/en/docs/getting-started/installation.mdx\"
  },
  \"title\":\"Installation\"
}
```

--------------------------------

### Mastra AI LLM Interactive Installation

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

This snippet describes how to add the MCP Docs Server during the interactive installation of Mastra AI for new projects. It guides users through the setup prompts.

```English
For new projects, the MCP Docs Server can be added during installation either through the interactive setup prompts, or by specifying the -m flag using the
```

--------------------------------

### Install Mastra AI LLMs

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Guide on installing Mastra and setting up necessary prerequisites for running it with various LLM providers. This includes instructions for different environments and configurations.

```bash
npm install mastra-ai-llms
```

--------------------------------

### Mastra AI Getting Started - Installation

Source: https://mastra.ai/docs/deployment/cloud-providers/digital-ocean

Guide on installing Mastra AI and setting up prerequisites for various LLM providers. Includes details on the installation process.

```json
{
  "name": "installation",
  "route": "/en/docs/getting-started/installation",
  "frontMatter": {
    "title": "Installing Mastra | Getting Started | Mastra Docs",
    "description": "Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers.",
    "filePath": "src/content/en/docs/getting-started/installation.mdx"
  },
  "title": "Installation"
}
```

--------------------------------

### Install Mastra AI LLMs

Source: https://mastra.ai/reference/cli/build

Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers. This section covers the initial setup and dependencies required to get started with the Mastra framework.

```bash
npm install mastra
```

--------------------------------

### Mastra Client SDK Setup and Usage

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Learn how to set up and use the Mastra Client SDK.

```markdown
## MastraClient

Learn how to set up and use the Mastra Client SDK
```

--------------------------------

### Getting started with Mastra and Express

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

A step-by-step guide to integrating Mastra with an Express backend.

```markdown
## With Express

A step-by-step guide to integrating Mastra with an Express backend.
```

--------------------------------

### Guides for Building AI Applications with Mastra

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

General guides on building applications with Mastra. This section covers various AI agent and workflow examples.

```mdx
## Guides

Guides on building with Mastra
```

--------------------------------

### Getting Started with Mastra and Vite/React

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

A step-by-step guide to integrating Mastra with Vite and React.

```markdown
## With Vite/React

A step-by-step guide to integrating Mastra with Vite and React.
```

--------------------------------

### Getting Started with Mastra and Astro

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

A step-by-step guide to integrating Mastra with Astro.

```markdown
## With Astro

A step-by-step guide to integrating Mastra with Astro.
```

--------------------------------

### Vue.js Quickstart with Clerk

Source: https://clerk.com/docs

Get started installing and initializing Clerk in a new Vue + Vite app. This guide covers the initial setup and basic integration steps.

```javascript
console.log('Vue.js Quickstart with Clerk');
// Further code examples would go here.
```

--------------------------------

### Deploying an MCPServer

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Example of setting up, building, and deploying a Mastra MCPServer using the stdio transport and publishing it to NPM.

```mdx
Example of setting up, building, and deploying a Mastra MCPServer using the stdio transport and publishing it to NPM.\
```

--------------------------------

### Mastra Cloud Setup & Deploy

Source: https://mastra.ai/docs/frameworks/next-js

Configuration steps for Mastra Cloud projects. This guide details how to set up and deploy your projects using Mastra Cloud.

```markdown
Configuration steps for Mastra Cloud projects
```

--------------------------------

### Upstash Search Python SDK - Getting Started

Source: https://upstash.com/vector

Guide to getting started with the Upstash Search Python SDK, covering installation and basic setup for search functionalities.

```Python
from upstash_vector import Index

index = Index(url="YOUR_UPSTASH_URL", token="YOUR_UPSTASH_TOKEN")

def main():
    # Example: Upserting data
    index.upsert(vectors=[{"id": "1", "vector": [0.1, 0.2], "metadata": {"name": "example"}}])
    print("Data upserted")

if __name__ == "__main__":
    main()
```

--------------------------------

### Upstash Search TypeScript SDK - Getting Started

Source: https://upstash.com/vector

Guide to getting started with the Upstash Search TypeScript SDK, covering installation and basic setup for search functionalities.

```TypeScript
import { Client } from '@upstash/vector';

const client = new Client({
  url: 'YOUR_UPSTASH_URL',
  token: 'YOUR_UPSTASH_TOKEN',
});

async function main() {
  // Example: Upserting data
  await client.upsert({ id: '1', vector: [0.1, 0.2], metadata: { name: 'example' } });
  console.log('Data upserted');
}
```

--------------------------------

### Next.js Quickstart Guides

Source: https://clerk.com/docs

Guides for getting started with Clerk in Next.js applications, covering both App Router and Pages Router quickstarts. Includes setup instructions and integration steps.

```nextjs
{
  "title": "Quickstart (App Router)",
  "href": "/docs/quickstarts/nextjs",
  "sdk": [
    "nextjs"
  ],
  "sections": "$1a:props:children:props:manifest:0:0:items:0:0:items:0:0:items:0:0:sections"
}
```

```nextjs
{
  "title": "Quickstart (Pages Router)",
  "href": "/docs/quickstarts/nextjs-pages-router",
  "sdk": [
    "nextjs"
  ],
  "sections": "$1a:props:children:props:manifest:0:0:items:0:0:items:0:0:items:0:0:sections"
}
```

--------------------------------

### Mastra Templates Guide

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Information on using pre-built project templates in Mastra. These templates demonstrate common use cases and patterns, helping developers get started quickly.

```markdown
## Templates

Utilize Mastra's pre-built project templates to quickly bootstrap common AI application patterns and use cases. These templates serve as excellent starting points for your projects.
```

--------------------------------

### Deploying MCPServer Example

Source: https://mastra.ai/docs/frameworks/next-js

This example provides instructions on deploying an MCPServer within the Mastra framework. It covers the necessary steps for setting up and running the server.

```mdx
import { Page } from "@/components/Page";

export const meta = {
  title: "Example: Deploying an MCPServer | Agents | Mastra Docs",
  description: "E
```

--------------------------------

### Mastra Server and DB Configuration

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Guide on configuring the server and database components for Mastra. This includes setup instructions for backend services and data persistence layers.

```markdown
## Server & DB

This section provides guidance on configuring the server infrastructure and database connections for Mastra applications. Ensure proper setup for robust data handling and application performance.
```

--------------------------------

### Get started with DeepSeek R1

Source: https://ai-sdk.dev/providers/openai-compatible-providers

This guide covers how to get started with DeepSeek R1, focusing on its reasoning capabilities. It likely includes setup instructions and basic usage examples.

```mdx
This guide covers how to get started with DeepSeek R1, focusing on its reasoning capabilities. It likely includes setup instructions and basic usage examples.
```

--------------------------------

### Install Mastra AI Docs Server

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Installs the Mastra AI documentation server using npx. This command fetches and runs the package, ensuring you have the latest version for serving documentation.

```bash
npx @mastra/mcp-docs-server
```

--------------------------------

### Supervisor Agent Example

Source: https://mastra.ai/docs/frameworks/next-js

This example showcases the creation of a supervisor agent using Mastra. In this setup, agents communicate with each other through tool functions.

```mdx
import { Page } from "@/components/Page";

export const meta = {
  title: "Example: Supervisor agent | Agents | Mastra",
  description: "Example of creating a supervisor agent using Mastra, where agents interact through tool functions.",
  filePath: "src/content/en/examples/agents/supervisor-agent.mdx",
};

export default () => <Page content={meta} />;

```

--------------------------------

### Getting Started with Mastra and SvelteKit

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

A step-by-step guide to integrating Mastra with SvelteKit. This covers web framework integration.

```javascript
import { Mastra } from '@mastra/core';

const mastra = new Mastra();

// Example SvelteKit page or server load function
export async function load() {
  const data = await mastra.getData();
  return { mastraData: data };
}

// ... (rest of SvelteKit application)
```

--------------------------------

### Install Mastra with bun

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Installs the necessary Mastra packages using bun. This command is part of the initial setup for using Mastra AI LLMs in a Vite/React project.

```bash
bun add @mastra/core @mastra/ui
```

--------------------------------

### Install Mastra with pnpm

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Installs the necessary Mastra packages using pnpm. This command is part of the initial setup for using Mastra AI LLMs in a Vite/React project.

```bash
pnpm add @mastra/core @mastra/ui
```

--------------------------------

### Mastra Observability Setup

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Guide on setting up observability for Mastra applications. This includes configuring logging, monitoring, and tracing to gain insights into application behavior and performance.

```markdown
## Observability

Implement robust observability for your Mastra applications. This section details how to set up logging, metrics, and tracing to monitor and troubleshoot your AI systems effectively.
```

--------------------------------

### Set up Environment with .env

Source: https://github.com/mastra-ai/mastra/tree/main/examples/memory-per-resource-example

This snippet shows how to set up the project environment by copying a sample .env file and adding the OpenAI API key. This is a crucial first step before running the application.

```shell
cp .env.example .env
# Add your OpenAI API key to .env
```

--------------------------------

### Install Mastra with yarn

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Installs the necessary Mastra packages using yarn. This command is part of the initial setup for using Mastra AI LLMs in a Vite/React project.

```bash
yarn add @mastra/core @mastra/ui
```

--------------------------------

### Getting Started with Mastra and Next.js

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

A step-by-step guide to integrating Mastra with Next.js.

```markdown
## With Next.js

A step-by-step guide to integrating Mastra with Next.js.
```

--------------------------------

### Install Mastra with npm

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Installs the necessary Mastra packages using npm. This command is part of the initial setup for using Mastra AI LLMs in a Vite/React project.

```bash
npm install @mastra/core @mastra/ui
```

--------------------------------

### AI SDK v5 Integration Example

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

This example provides guidance on integrating with Mastra's AI SDK version 5. It covers the necessary steps and configurations for utilizing the latest SDK features.

```python
from mastra.sdk.v5 import MastraClient

# Initialize the Mastra client with your API key
client = MastraClient(api_key="YOUR_MASTRA_API_KEY")

# Example of using a model
response = client.completions.create(
    model="mastra-model-xyz",
    prompt="Translate 'hello' to French."
)
print(response.choices[0].text)
```

--------------------------------

### Mastra AI LLM Automatic Installation

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

This section details the automatic installation process for Mastra AI, specifically for new projects. It covers both interactive setup prompts and non-interactive methods using command-line flags.

```English
Automatic installation
```

--------------------------------

### CoAgent Quickstart

Source: https://docs.copilotkit.ai/

This section likely details how to get started with CoAgents, which are AI agents that can interact with CopilotKit. It may involve setup or basic usage examples.

```N/A
{\"name\": \"CoAgent Quickstart\", \"url\": \"../coagents/quickstart\", \"external\": false}
```

--------------------------------

### Vercel Web Analytics: Getting Started

Source: https://vercel.com/docs/observability/otel-overview/quickstart

Guides on getting started with Vercel Web Analytics for various frameworks like Next.js, SvelteKit, Remix, Create React App, Nuxt, Vue, Astro, and HTML. This section covers initial setup and integration.

--------------------------------

### Install Mastra using create mastra CLI

Source: https://mastra.ai/docs/getting-started/installation

This command initiates the setup process for Mastra AI using the command-line interface. It's the recommended and fastest way to get started.

```bash
create mastra
```

--------------------------------

### Angular Rspack Getting Started Guide

Source: https://nx.dev/concepts/decisions/dependency-management

A guide on how to get started with Angular projects using Rspack as the build tool, covering initial setup and configuration.

--------------------------------

### Install Mastra AI

Source: https://mastra.ai/reference/scorers/keyword-coverage

Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers. This section covers the initial setup and dependencies required to get started with Mastra.

```bash
npm install mastra-ai
```

--------------------------------

### Install Mastra AI LLMs

Source: https://mastra.ai/reference/scorers/completeness

Guide on installing Mastra and setting up prerequisites for running with various LLM providers. This section covers the initial setup and configuration needed to get started with the Mastra framework.

```bash
npm install @mastra/core
# or
yarn add @mastra/core
```

--------------------------------

### Mastra Project Structure Guide

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Guide on organizing folders and files within a Mastra project. It outlines best practices and recommended structures for efficient development and maintainability.

```markdown
## Mastra Project Structure

- `src/`
  - `content/`
    - `en/`
      - `docs/`
        - `index.mdx`
        - `getting-started/`
          - `installation.mdx`
          - `project-structure.mdx`
          - `mcp-docs-server.mdx`
          - `model-providers.mdx`
          - `model-capability.mdx`
          - `templates.mdx`
        - `agents/`
          - `overview.mdx`
          - `agent-memory.mdx`
          - `using-tools-and-mcp.mdx`
          - `input-processors.mdx`
          - `adding-voice.mdx`
          - `runtime-context.mdx`
          - `dynamic-agents.mdx`
  - `lib/`
  - `components/`
- `public/`
- `package.json`
```

--------------------------------

### Prompt Examples for Mastra Docs Server

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

This section provides example prompts for interacting with the Mastra Docs Server. These prompts cover adding features to an agent, retrieving information about integrations, and debugging or updating existing code.

```text
“Add evals to my agent and write tests”
```

```text
“Write me a workflow that does the following [task]”
```

```text
“Make a new tool that allows my agent to access [3rd party API]”
```

```text
“Does Mastra work with the AI SDK?
How can I use it in my [React/Svelte/etc] project?”
```

```text
“What’s the latest Mastra news around MCP?”
```

```text
“Does Mastra support [provider] speech and voice APIs? Show me an example in my code of how I can use it.”
```

--------------------------------

### React Quickstart: Install and Initialize Clerk

Source: https://clerk.com/docs

This snippet guides you through installing and initializing Clerk in a new React + Vite application. It covers the essential steps to get started with Clerk's authentication features.

```javascript
self.__next_f.push([1,"6e:[\"$\",\"div\",null,{\"className\":\"flex-auto\",\"children\":[[\"$\",\"h3\",null,{\"className\":\"mb-2 text-[0.875rem]/5 font-medium text-gray-950 dark:text-white\",\"children\":[\"$\",\"$L45\",null,{\"href\":\"/docs/quickstarts/react\",\"children\":[[\"\",[\"$\",\"span\",null,{\"className\":\"whitespace-nowrap\",\"children\":[\"React\",false,[\"$\",\"svg\",null,{\"viewBox\":\"0 0 16 16\",\"fill\":\"none\",\"aria-hidden\":true,\"className\":\"relative top-[0.1875rem] ml-0.5 inline-block size-4 -translate-x-2 stroke-gray-400 align-top opacity-0 transition duration-300 ease-[cubic-bezier(0.175,0.885,0.32,1.275)] group-hover/card:translate-x-0 group-hover/card:stroke-gray-950 group-hover/card:opacity-100 dark:group-hover/card:stroke-white\",\"children\":[\"$\",\"path\",null,{\"strokeLinecap\":\"round\",\"strokeLinejoin\":\"round\",\"strokeWidth\":\"1.5\",\"d\":\"M6.75 4.75 10.25 8l-3.5 3.25\"}]}]]},[\"$\",\"span\",null,{\"className\":\"absolute inset-0\"}]]}]}]}],\"$\",\"div\",null,{\"className\":\"text-[0.875rem]/5 text-gray-600 dark:text-gray-400\",\"children\":[\"$\",\"p\",\".1\",{\"children\":\"Get started installing and initializing Clerk in a new React + Vite app.\"}]}]}]])
```

--------------------------------

### Mastra Authentication Setup

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Guide on setting up authentication for Mastra applications. This covers different authentication methods and best practices for securing your AI applications.

```markdown
## Auth

Secure your Mastra applications by configuring authentication. This section details the available authentication methods and provides guidance on implementing secure access controls.
```

--------------------------------

### Edge Config Getting Started

Source: https://vercel.com/docs/cli

A guide to getting started with Edge Config, outlining the initial setup and basic configurations.

```English
Getting Started
```

--------------------------------

### Running Workflows

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Example for how to run workflows.

```mdx
Example for how to run workflows.\
```

--------------------------------

### Deployment Examples for Mastra Server

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Provides an overview of deployment examples for a Mastra server. This includes setting up middleware for authentication, CORS, and logging, as well as creating custom API routes.

```mdx
## Deployment examples

Overview of deployment examples for a Mastra server.
```

```mdx
## Auth Middleware

Guide on setting up authentication middleware for a Mastra server.
```

```mdx
## CORS Middleware

Guide on configuring CORS middleware for a Mastra server.
```

```mdx
## Logging Middleware

Guide on implementing logging middleware for a Mastra server.
```

```mdx
## Custom API Route

Guide on creating custom API routes within a Mastra server.
```

```mdx
## Deploying a Mastra Server

Instructions on how to deploy a Mastra server.
```

--------------------------------

### Initialize Mastra CLI

Source: https://mastra.ai/docs/frameworks/next-js

Run the Mastra CLI to customize the setup. It prompts for installation location, defaulting to 'src'. For root-level Pages Router, use '.' as the location.

```bash
npx mastra@latest init
```

--------------------------------

### Getting Started with Mastra and Astro

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

A step-by-step guide to integrating Mastra with Astro. This covers web framework integration.

```javascript
import { Mastra } from '@mastra/core';

const mastra = new Mastra();

// Example Astro component or page script
const mastraData = await mastra.getData();
console.log(mastraData);

// ... (rest of Astro site)
```

--------------------------------

### Mastra Installation Guide

Source: https://mastra.ai/reference/evals/prompt-alignment

This guide covers the installation of Mastra and the setup of prerequisites for various LLM providers. It ensures a smooth start for users.

```TypeScript
Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers.
```

--------------------------------

### Install Mastra with a Template

Source: https://mastra.ai/docs/getting-started/installation

Starts a Mastra project using a pre-built template to demonstrate specific use cases. Users can browse available templates for various applications.

```bash
npx create-mastra@latest --template template-name
```

```bash
npx create-mastra@latest --template text-to-sql
```

--------------------------------

### React Authentication with Clerk

Source: https://clerk.com/docs

Get started with Clerk authentication in a React + Vite application. This setup guide helps you install and initialize Clerk for user management in your React projects.

```javascript
// src/main.jsx
import React from 'react';
import ReactDOM from 'react-dom/client';
import App from './App';
import { ClerkProvider } from '@clerk/clerk-react';

// Ensure that your publishable key is set
if (!process.env.CLERK_PUBLISHABLE_KEY) {
  throw new Error('CLERK_PUBLISHABLE_KEY is not set');
}

ReactDOM.createRoot(document.getElementById('root')).render(
  <React.StrictMode>
    <ClerkProvider publishableKey={process.env.CLERK_PUBLISHABLE_KEY}>
      <App />
    </ClerkProvider>
  </React.StrictMode>
);

```

--------------------------------

### Mastra CLI: Start Application

Source: https://mastra.ai/docs/frameworks/web-frameworks/astro

Starts your built Mastra application using the `mastra start` command.

```bash
mastra start
```

--------------------------------

### Getting started with Mastra and Express

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

A step-by-step guide to integrating Mastra with an Express backend. This covers server-side integration.

```javascript
const express = require('express');
const { Mastra } = require('@mastra/core');

const app = express();
const mastra = new Mastra();

// Example Express route
app.get('/mastra-data', async (req, res) => {
  const data = await mastra.getData();
  res.json(data);
});

// ... (rest of Express server setup)
```

--------------------------------

### Get started with Llama 3.1

Source: https://ai-sdk.dev/providers/openai-compatible-providers

This guide provides instructions for getting started with Llama 3.1. It likely covers the setup and initial usage of this AI model.

```mdx
This guide provides instructions for getting started with Llama 3.1. It likely covers the setup and initial usage of this AI model.
```

--------------------------------

### Getting Started with Mastra and Vite/React

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

A step-by-step guide to integrating Mastra with Vite and React. This covers web framework integration.

```javascript
import React from 'react';
import { Mastra } from '@mastra/core';

const mastra = new Mastra();

function App() {
  // Example React component using Mastra
  return (
    <div>
      <h1>Mastra Integration</h1>
      {/* ... */}
    </div>
  );
}

export default App;
```

--------------------------------

### Workflow: Getting Started and Quickstarts

Source: https://upstash.com/vector

This section covers the initial steps for using Workflow, including a general getting started guide and quickstarts for various platforms like Vercel/Next.js, Cloudflare Workers, Nuxt, SolidJS, Svelte, Hono, Express, Astro, FastAPI, and Flask.

```Workflow
workflow/getstarted
workflow/quickstarts/platforms
workflow/quickstarts/vercel-nextjs
workflow/quickstarts/cloudflare-workers
workflow/quickstarts/nuxt
workflow/quickstarts/solidjs
workflow/quickstarts/svelte
workflow/quickstarts/hono
workflow/quickstarts/express
workflow/quickstarts/astro
workflow/quickstarts/fastapi
workflow/quickstarts/nextjs-fastapi
workflow/quickstarts/flask
workflow/quickstarts/nextjs-flask
```

--------------------------------

### Sequential Steps Workflow

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Example of a Mastra workflow demonstrating sequential execution of steps.

```mdx
import { workflow } from "@mastra/core";

export const sequentialWorkflow = workflow({
  name: "sequential-workflow",
  steps: {
    step1: workflow.callAgent({
      agent: "agent-a",
      input: "Input for A"
    }),
    step2: workflow.callAgent({
      agent: "agent-b",
      input: "{{step1.output}}"
    })
  }
});
```

--------------------------------

### Getting Started with Mastra and Next.js

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

A step-by-step guide to integrating Mastra with Next.js. This covers web framework integration.

```javascript
import { Mastra } from '@mastra/core';

const mastra = new Mastra();

// Example Next.js API route or component
export async function getServerSideProps(context) {
  const data = await mastra.getData();
  return { props: { data } };
}

// ... (rest of Next.js application)
```

--------------------------------

### Mastra Installation Guide

Source: https://mastra.ai/reference/evals/toxicity

This guide covers the installation of Mastra and the setup of prerequisites for various LLM providers. It ensures a smooth start for developing AI applications with Mastra.

```TypeScript
Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers.
```

--------------------------------

### Inngest Mastra Workflow Example

Source: https://mastra.ai/docs/frameworks/next-js

Example of integrating Mastra workflows with Inngest for event-driven execution.

```typescript
import { Workflow } from "@mastra/workflow";
import { serve } from "inngest/next";

const workflow = new Workflow({
  // Workflow definition
});

export const { handler } = serve({
  functions: [workflow],
  // Inngest configuration
});

```

--------------------------------

### Call Tools with Mastra

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Example demonstrating how to call tools using Mastra.

```mdx
import { workflow } from "@mastra/core";

export const callingToolsWorkflow = workflow({
  name: "calling-tools-workflow",
  steps: {
    callMyTool: workflow.callTool({
      tool: "my-tool",
      input: { param1: "value1" }
    })
  }
});
```

--------------------------------

### Mastra: Calling Tools

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

An example demonstrating how to call tools using Mastra. This covers the fundamental process of tool integration.

```mdx
Example for how to tools agents.
```

--------------------------------

### Mastra CLI: Create Project

Source: https://mastra.ai/docs/frameworks/web-frameworks/astro

Creates a new Mastra project with interactive setup options using the `create-mastra` command.

```bash
create-mastra
```

--------------------------------

### Scaffold Mastra with Next.js (Interactive CLI)

Source: https://mastra.ai/docs/frameworks/next-js

Initiate Mastra integration into your Next.js project using the interactive command-line interface. This allows for customized setup by prompting the user for installation location and other configurations.

```bash
npx mastra@latest init
```

--------------------------------

### Mastra Installation Guide

Source: https://mastra.ai/examples/memory/memory-with-pg

A guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers. This section covers the initial setup process for new users.

```bash
Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers.
```

--------------------------------

### Calling Agents Example

Source: https://mastra.ai/docs/frameworks/next-js

This example demonstrates how to call agents within the Mastra framework. It serves as a foundational example for agent interaction.

```mdx
import { Page } from "@/components/Page";

export const meta = {
  title: "Calling Agents | Agents | Mastra Docs",
  description: "Example for how to call agents.",
  filePath: "src/content/en/examples/agents/calling-agents.mdx",
};

export default () => <Page content={meta} />;

```

--------------------------------

### Install Mastra Docs Server Package

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

This snippet shows how to install the `@mastra/mcp-docs-server` package, which provides access to Mastra's knowledge base via the MCP protocol. It is a prerequisite for using Mastra's tools with agents.

```bash
npm install @mastra/mcp-docs-server
```

--------------------------------

### Mastra Installation Guide

Source: https://mastra.ai/reference/templates

This guide covers the installation of Mastra and the setup of prerequisites for running it with various LLM providers. It ensures a smooth start for developing AI applications.

```TypeScript
Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers.
```

--------------------------------

### Mastra Installation Guide

Source: https://mastra.ai/reference/client-js/workflows

This guide covers the installation of Mastra and the setup of prerequisites for running it with various Large Language Model (LLM) providers. It ensures a smooth start for users.

```TypeScript
Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers.
```

--------------------------------

### Deploy Mastra Server

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Learn how to deploy a Mastra server, including build settings and deployment options. This guide covers the essential steps for setting up your Mastra server environment.

```markdown
This section details the process of deploying a Mastra server. It covers configuration, build processes, and deployment strategies. Specific code examples or commands are not provided in this overview, but the documentation guides users through the necessary steps.
```

--------------------------------

### React Getting Started Guide

Source: https://clerk.com/docs

Instructions for getting started with Clerk in React applications. This section covers the initial setup process for the Clerk SDK within a React project.

```react
{
  "title": "Getting started",
  "sdk": [
    "react"
  ],
  "items": [
    {
      "title": "Set up your Clerk a"
    }
  ]
}
```

--------------------------------

### Run Project Example

Source: https://github.com/mastra-ai/mastra/tree/main/examples/memory-per-resource-example

This command is used to run the project's example. It utilizes the pnpm package manager to start the development server.

```shell
pnpm dev
```

--------------------------------

### Create and Configure Dynamic Tools

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Learn how to create and configure dynamic tools using runtime context in Mastra.

```mdx
import { tool } from "@mastra/core";

export const dynamicTool = tool({
  name: "dynamic-tool",
  description: "A tool that uses runtime context.",
  parameters: {
    type: "object",
    properties: {
      contextValue: { type: "string" }
    }
  },
  execute: async ({ context, parameters }) => {
    return `Processed with context: ${context.runtimeValue} and parameter: ${parameters.contextValue}`;
  }
});
```

--------------------------------

### Get started with OpenAI o3-mini

Source: https://ai-sdk.dev/providers/openai-compatible-providers

This guide provides instructions for getting started with OpenAI o3-mini, emphasizing its reasoning capabilities. It likely covers initial setup and basic usage.

```mdx
This guide provides instructions for getting started with OpenAI o3-mini, emphasizing its reasoning capabilities. It likely covers initial setup and basic usage.
```

--------------------------------

### Basic RAG Example

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Example of implementing a basic RAG system in Mastra using OpenAI embedd

```mdx
Example: Using the Vector Query Tool | RAG | Mastra Docs
```

--------------------------------

### Initialize Mastra Project

Source: https://mastra.ai/reference/evals/content-similarity

Creates a new Mastra project with interactive setup options using the `mastra init` command.

```cli
mastra init
```

--------------------------------

### Mastra CLI: Initialize Project

Source: https://mastra.ai/docs/frameworks/web-frameworks/astro

Initializes a new Mastra project with interactive setup options using the `mastra init` command.

```bash
mastra init
```

--------------------------------

### Get started with OpenAI o1

Source: https://ai-sdk.dev/providers/openai-compatible-providers

This guide focuses on getting started with OpenAI o1, including its reasoning capabilities. It likely covers the initial setup and basic usage patterns for this model.

```mdx
This guide focuses on getting started with OpenAI o1, including its reasoning capabilities. It likely covers the initial setup and basic usage patterns for this model.
```

--------------------------------

### Upsert Embeddings Example

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Examples of using Mastra to store embeddings in various vector databases for similarity search.

```mdx
Example: Upsert Embeddings | RAG | Mastra Docs
```

--------------------------------

### Metadata Extraction Example

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Example of extracting and utilizing metadata from documents in Mastra for enhanced document processing and retrieval.

```mdx
Example: Metadata Extraction | Retrieval | RAG | Mastra Docs
```

--------------------------------

### Install Mastra Packages

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Installs the latest versions of Mastra core packages using different package managers.

```yarn
yarn add mastra@latest @mastra/core@latest @mastra/libsql@latest @mastra/client-js@latest
```

```pnpm
pnpm add mastra@latest @mastra/core@latest @mastra/libsql@latest @mastra/client-js@latest
```

```bun
bun add mastra@latest @mastra/core@latest @mastra/libsql@latest @mastra/client-js@latest
```

--------------------------------

### Mastra AI LLM Metadata and SEO Configuration

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

This snippet details the metadata and SEO configuration for the Mastra Docs 'Getting Started' page. It includes title, description, Open Graph tags, and Twitter card information, all aimed at optimizing the page's visibility and presentation on social media and search engines.

```javascript
self.__next_f.push([1, "9:{\"metadata\":[[\"$\",\"title\",\"0\",{\"children\":\"MCP Docs Server | Getting Started | Mastra Docs\"}], [\"$\",\"meta\",\"1\",{\"name\":\"description\",\"content\":\"Learn how to use the Mastra MCP documentation server in your IDE to turn it into an agentic Mastra expert.\"}], [\"$\",\"meta\",\"2\",{\"property\":\"og:title\",\"content\":\"MCP Docs Server | Getting Started | Mastra Docs\"}], [\"$\",\"meta\",\"3\",{\"property\":\"og:description\",\"content\":\"Learn how to use the Mastra MCP documentation server in your IDE to turn it into an agentic Mastra expert.\"}], [\"$\",\"meta\",\"4\",{\"property\":\"og:url\",\"content\":\"https://mastra.ai/en/docs/getting-started/mcp-docs-server\"}], [\"$\",\"meta\",\"5\",{\"property\":\"og:image\",\"content\":\"https://mastra.ai/api/og/docs?title=MCP%20Docs%20Server%20|%20Getting%20Started%20|%20Mastra%20Docs%26description=Learn%20how%20to%20use%20the%20Mastra%20MCP%20documentation%20server%20in%20your%20IDE%20to%20turn%20it%20into%20an%20agentic%20Mastra%20expert.\"}], [\"$\",\"meta\",\"6\",{\"property\":\"og:type\",\"content\":\"article\"}], [\"$\",\"meta\",\"7\",{\"name\":\"twitter:card\",\"content\":\"summary_large_image\"}], [\"$\",\"meta\",\"8\",{\"name\":\"twitter:title\",\"content\":\"MCP Docs Server | Getting Started | Mastra Docs\"}], [\"$\",\"meta\",\"9\",{\"name\":\"twitter:description\",\"content\":\"Learn how to use the Mastra MCP documentation server in your IDE to turn it into an agentic Ma\"}]]})
```

--------------------------------

### Mastra Installation Guide

Source: https://mastra.ai/reference/deployer/netlify

A guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers. This section covers the initial setup process for new users.

```TypeScript
Guide on installing Mastra and setting up the necessary prerequisites for running it with various LLM providers.
```

--------------------------------

### Run Mastra Workflows

Source: https://mastra.ai/docs/frameworks/next-js

Example for how to run workflows in Mastra.

```typescript
import { Workflow } from "@mastra/workflow";

const workflow = new Workflow({
  // Workflow definition
});

workflow.run();

```

--------------------------------

### Mastra Deployment Strategies

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Information on deploying Mastra applications. This covers various deployment strategies, best practices, and considerations for production environments.

```markdown
## Deployment

Learn the recommended strategies for deploying your Mastra applications. This guide covers considerations for various environments, ensuring a smooth transition to production.
```

--------------------------------

### Get started with Mastra and Express

Source: https://mastra.ai/reference/evals/toxicity

A step-by-step guide to integrating Mastra with an Express backend. This guide covers the initial setup and configuration.

```mdx
const express = require('express');
const mastra = require('@mastra/core');

const app = express();

app.use(express.json());

app.post('/api/chat', async (req, res) => {
  const { message } = req.body;
  const response = await mastra.chat(message);
  res.json({ response });
});

const port = process.env.PORT || 3000;
app.listen(port, () => {
  console.log(`Server listening on port ${port}`);
});
```

--------------------------------

### Mastra Framework Overview

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

An overview of the Mastra framework, highlighting its core components, architecture, and the primitives it provides for building AI applications.

```markdown
## Frameworks

An overview of the Mastra framework, detailing its core primitives such as workflows, agents, RAG, integrations, syncs, and evals, designed for rapid AI application development.
```

--------------------------------

### Reranking with ZeroEntropy Example

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Example of using Mastra to improve document retrieval relevance with ZeroEntropy's reranking service.

```mdx
Example: Reranking with ZeroEntropy | RAG | Mastra Docs
```

--------------------------------

### Logging Middleware Example

Source: https://mastra.ai/docs/getting-started/mcp-docs-server

Example of using Logging Middleware for deployment.

```mdx
Example of using Logging Middleware for deployment.
```

--------------------------------

### Install Mastra AI Framework

Source: https://mastra.ai/docs/agents/streaming

Guide on installing Mastra and setting up necessary prerequisites for running it with various LLM providers. This includes instructions for local setup and integration.

```bash
npm install mastra-ai
```

--------------------------------

### Reranking with Cohere Example

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Example of using Mastra to improve document retrieval relevance with Cohere's reranking service.

```mdx
Example: Reranking with Cohere | RAG | Mastra Docs
```

--------------------------------

### Example: Install Text-to-SQL Mastra Template

Source: https://mastra.ai/docs/getting-started/templates

Demonstrates installing a specific Mastra template for a text-to-SQL application using npx.

```bash
npx create-mastra@latest --template text-to-sql
```

--------------------------------

### Re-ranking Results Example

Source: https://mastra.ai/docs/frameworks/web-frameworks/vite-react

Example of implementing semantic re-ranking in Mastra using OpenAI embeddings and PGVector for vector storage.

```mdx
Example: Re-ranking Results | Retrieval | RAG | Mastra Docs
```