### Installation Instructions

Source: https://help.mctx.ai/llms.txt

Instructions for installing and configuring MCP servers with various clients.

```APIDOC
## Installation

### Claude Code (manual)
```bash
claude mcp add --transport http help https://help.mctx.ai
```

### Claude Desktop (manual)
Add the following to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "help": {
      "type": "http",
      "url": "https://help.mctx.ai"
    }
  }
}
```

### Other MCP Clients
Connect to `https://help.mctx.ai` using HTTP transport. OAuth authentication is handled automatically.
```

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

### Guide Me

Source: https://help.mctx.ai/llms.txt

Get personalized, step-by-step coaching for accomplishing a goal on mctx. Returns the immediate next action with full content and instructions.

```APIDOC
## POST /guide_me

### Description
Provides personalized, step-by-step guidance for completing a specific task or goal on mctx.

### Method
POST

### Endpoint
/guide_me

### Parameters
#### Request Body
- **goal** (string) - Required - The user's current goal or task.
- **current_step** (string) - Optional - The user's current progress or last completed step.

### Request Example
```json
{
  "goal": "deploy to production",
  "current_step": "configured environment variables"
}
```

### Response
#### Success Response (200)
- **next_action** (string) - The immediate next action the user should take.
- **instructions** (string) - Detailed instructions for completing the next action.
- **full_content** (string) - Relevant documentation content for the current step.

#### Response Example
```json
{
  "next_action": "Configure your CI/CD pipeline to build and deploy your MCP server.",
  "instructions": "Ensure your pipeline includes steps for installing dependencies, running tests, and packaging your application. Use the following command to build your Docker image: docker build -t my-mcp-app .",
  "full_content": "# Deployment Guide\n\nThis section covers deploying your MCP server to a production environment..."
}
```
```

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

### Get Learning Path

Source: https://help.mctx.ai/llms.txt

Get a recommended reading order for a specific goal on mctx. Returns an ordered sequence of documentation sections with explanations.

```APIDOC
## POST /get_learning_path

### Description
Provides a structured learning path for achieving a specific goal within the mctx platform.

### Method
POST

### Endpoint
/get_learning_path

### Parameters
#### Request Body
- **goal** (string) - Required - The user's goal (e.g., 'build my first app', 'deploy to production').

### Request Example
```json
{
  "goal": "build my first app"
}
```

### Response
#### Success Response (200)
- **path** (array) - An ordered list of documentation sections with explanations.
  - **title** (string) - The title of the documentation section.
  - **description** (string) - Explanation of why this step is next.
  - **path** (string) - The path to the documentation section.

#### Response Example
```json
{
  "path": [
    {
      "title": "Introduction to MCP",
      "description": "Understand the core concepts of the Model Context Protocol.",
      "path": "concepts/mcp-introduction.mdx"
    },
    {
      "title": "Setting Up Your Development Environment",
      "description": "Prepare your local machine for MCP server development.",
      "path": "getting-started/development-environment.mdx"
    }
  ]
}
```
```

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

### Install MCP Server with Claude Code

Source: https://help.mctx.ai/llms.txt

This command installs the MCP server using the 'claude' CLI tool. It specifies the transport protocol as 'http' and the server URL.

```bash
claude mcp add --transport http help https://help.mctx.ai
```

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

### Get Documentation Section

Source: https://help.mctx.ai/llms.txt

Retrieve full, untruncated documentation pages by path. Use this to read complete content that search_docs may have truncated. The path parameter is the exact path field returned in search_docs results.

```APIDOC
## POST /get_section

### Description
Retrieves the full content of a documentation section by its path.

### Method
POST

### Endpoint
/get_section

### Parameters
#### Request Body
- **path** (string) - Required - The path to the documentation section (e.g., 'building-mcp-servers/framework-api-reference.mdx').

### Request Example
```json
{
  "path": "building-mcp-servers/framework-api-reference.mdx"
}
```

### Response
#### Success Response (200)
- **content** (string) - The full content of the documentation section.

#### Response Example
```json
{
  "content": "# Framework API Reference\n\nThis document details the framework API for building MCP servers..."
}
```
```

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

### Define guide_me tool schema

Source: https://help.mctx.ai/llms.txt

Defines the JSON schema for the guide_me tool, which provides personalized, step-by-step coaching. It accepts a goal, experience level, and approach as input parameters.

```json
{
  "name": "guide_me",
  "description": "Get personalized, step-by-step coaching for accomplishing a goal on mctx.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "goal": {
        "type": "string",
        "description": "What the user wants to accomplish.",
        "minLength": 1,
        "maxLength": 200
      },
      "experience_level": {
        "type": "string",
        "description": "User's technical background."
      },
      "approach": {
        "type": "string",
        "description": "Whether to explain concepts first or get hands-on immediately."
      }
    },
    "required": ["goal"]
  }
}
```

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

### Search Documentation

Source: https://help.mctx.ai/llms.txt

Search the mctx documentation for a topic. Covers Model Context Protocol concepts, MCP tools/resources/prompts/transports, building Apps with the @mctx-ai/mcp-server TypeScript framework, deploying and hosting on mctx, versioning, monetization, authentication, pricing, and payouts. Returns up to 5 matching sections with source links.

```APIDOC
## POST /search_docs

### Description
Searches the mctx documentation for a given topic.

### Method
POST

### Endpoint
/search_docs

### Parameters
#### Request Body
- **query** (string) - Required - The search query.
- **limit** (integer) - Optional - The maximum number of results to return.

### Request Example
```json
{
  "query": "How to set up payouts?",
  "limit": 3
}
```

### Response
#### Success Response (200)
- **results** (array) - A list of matching documentation sections.
  - **title** (string) - The title of the documentation section.
  - **path** (string) - The path to the documentation section.
  - **excerpt** (string) - A brief excerpt of the documentation section.

#### Response Example
```json
{
  "results": [
    {
      "title": "Setting Up Payouts",
      "path": "monetization/payouts.mdx",
      "excerpt": "Learn how to configure and manage payouts for your MCP server..."
    }
  ]
}
```
```

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

### MCP Server Connection

Source: https://help.mctx.ai/llms.txt

Information on how to connect to an MCP server, including endpoint, transports, and authentication.

```APIDOC
## Connection Information

### MCP Endpoint
`https://help.mctx.ai`

### Supported Transports
- SSE (Server-Sent Events)
- HTTP streaming

### Authentication
- JWT token issued by the mctx platform after subscribing.
- Pass your token as a Bearer token in the `Authorization` header.

### Latest Version Endpoint
`https://help.mctx.ai/v1.0.29`
```

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

### Configure Claude Desktop for MCP Server

Source: https://help.mctx.ai/llms.txt

This JSON configuration is used for Claude Desktop to connect to an MCP server. It defines the server alias, transport type, and URL.

```json
{
  "mcpServers": {
    "help": {
      "type": "http",
      "url": "https://help.mctx.ai"
    }
  }
}
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.