Awesome MCP Servers

https://github.com/wong2/awesome-mcp-servers
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A curated list of Model Context Protocol (MCP) servers, including reference and official...
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### Ref.tools Documentation MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Provides up-to-date documentation for coding agents, covering thousands of public repositories and sites.

```APIDOC
Ref.tools Documentation Integration:
  Purpose: Provides up-to-date documentation for your coding agent.
  Capabilities: Covers 1000s of public repos and sites. Built by ref.tools.
```

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### ELEMENT.FM MCP for Podcast Publishing

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

This MCP server allows AI agents to create and publish unlimited podcast shows and episodes with ELEMENT.FM. It provides a programmatic interface for managing podcast content.

```APIDOC
ELEMENT.FM MCP:
  - Purpose: Create and publish unlimited podcast shows and episodes with ELEMENT.FM.
  - Functionality: Provides a programmatic interface for AI agents to manage podcast content.
```

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### Scrapeless Google SERP Integration MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Integrates real-time Scrapeless Google SERP results into LLM applications, enabling dynamic context retrieval for AI workflows, chatbots, and research tools.

```APIDOC
Scrapeless Google SERP Integration:
  Purpose: Integrate real-time Scrapeless Google SERP (Google Search, Google Flight, Google Map, Google Jobs....) results into your LLM applications.
  Capabilities: Enables dynamic context retrieval for AI workflows, chatbots, and research tools.
```

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### Scrapezy Website to Dataset MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Transforms websites into datasets using Scrapezy.

```APIDOC
Scrapezy Website to Dataset Conversion:
  Purpose: Turn websites into datasets with Scrapezy.
```

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### EduBase MCP for E-learning Platform

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

This MCP server enables AI agents to interact with EduBase, a comprehensive e-learning platform. It supports advanced quizzing, exam management, and content organization capabilities.

```APIDOC
EduBase MCP:
  - Purpose: Interact with EduBase, a comprehensive e-learning platform.
  - Capabilities: Supports advanced quizzing, exam management, and content organization for AI agents.
```

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### ScreenshotOne Website Screenshot MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Renders website screenshots using ScreenshotOne.

```APIDOC
ScreenshotOne Website Screenshot Rendering:
  Purpose: Render website screenshots with ScreenshotOne.
```

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### Ramp Developer API MCP Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Interacts with Ramp's Developer API to run spend analysis and gain insights using LLMs.

```APIDOC
Ramp Developer API Integration:
  Purpose: Interact with Ramp's Developer API.
  Capabilities: Run analysis on your spend and gain insights leveraging LLMs.
```

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### FetchSERP MCP Server for SEO & Web Intelligence

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The FetchSERP MCP server provides AI agents with access to an All-in-One SEO & Web Intelligence Toolkit API. It enables programmatic interaction with search engine results and web data for analysis and insights.

```APIDOC
FetchSERP MCP Server:
  - Purpose: Access to an All-in-One SEO & Web Intelligence Toolkit API.
  - Functionality: Enables programmatic interaction with search engine results and web data for AI-driven analysis and insights.
```

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### QA Sphere Test Management MCP Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Integrates with QA Sphere test management system, allowing LLMs to discover, summarize, and interact with test cases from AI-powered IDEs.

```APIDOC
QA Sphere Test Management System Integration:
  Purpose: Integration with QA Sphere test management system.
  Capabilities: Enables LLMs to discover, summarize, and interact with test cases directly from AI-powered IDEs.
```

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### Plane API MCP Server Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Official Plane MCP server for integration with Plane APIs, enabling full AI automation of Plane projects, work items, and cycles.

```APIDOC
Plane API Integration:
  Purpose: Official Plane MCP server.
  Capabilities: Provides integration with Plane APIs, enabling full AI automation of Plane projects, work items, cycles and more.
```

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### Search1API Unified Search MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Provides a single API for search, crawling, and sitemaps.

```APIDOC
Search1API Unified Search:
  Purpose: One API for Search, Crawling, and Sitemaps.
```

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### Plugged.in MCP Proxy

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

A comprehensive proxy combining multiple MCP servers, offering discovery and management of tools, prompts, resources, and templates, plus a debugging playground.

```APIDOC
Plugged.in Comprehensive MCP Proxy:
  Purpose: Combines multiple MCP servers into a single MCP.
  Capabilities: Provides discovery and management of tools, prompts, resources, and templates across servers, plus a playground for debugging when building MCP servers.
```

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### Decodo MCP Server for Web Data Access

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The Decodo MCP server simplifies the retrieval of information from websites and online sources, providing easy web data access for AI agents. It streamlines the process of extracting and utilizing online content.

```APIDOC
Decodo MCP Server:
  - Purpose: Simplified retrieval of information from websites and online sources.
  - Functionality: Provides easy web data access for AI agents, streamlining content extraction and utilization.
```

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### Exa MCP Server for AI Search Engine

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The Exa MCP server integrates with Exa, a search engine specifically designed for AI agents. It enables AI to perform advanced searches and retrieve relevant information efficiently.

```APIDOC
Exa MCP Server:
  - Purpose: Integration with Exa, a search engine made for AIs.
  - Functionality: Enables AI agents to perform advanced searches and retrieve relevant information efficiently.
```

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### RevenueCat In-app Purchase Management MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Manages in-app purchases in RevenueCat directly from an AI coding environment.

```APIDOC
RevenueCat In-app Purchase Management:
  Purpose: Manage your In-app-purchases in RevenueCat.
  Capabilities: Without leaving your AI coding environment.
```

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### Qdrant Vector Search Engine MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Implements a semantic memory layer on top of the Qdrant vector search engine.

```APIDOC
Qdrant Vector Search Engine Integration:
  Purpose: Implement semantic memory layer on top of the Qdrant vector search engine.
```

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### DINO-X MCP Server for Computer Vision

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

An advanced computer vision and object detection MCP server powered by Dino-X. It enables AI agents to analyze images, detect objects, identify keypoints, and perform various visual understanding tasks.

```APIDOC
DINO-X MCP Server:
  - Purpose: Advanced computer vision and object detection.
  - Technology: Powered by Dino-X.
  - Capabilities: Enables AI agents to analyze images, detect objects, identify keypoints, and perform visual understanding tasks.
```

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### Prisma Postgres Database Management MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Enables LLMs to manage Prisma Postgres databases, including spinning up new databases, running migrations, or executing queries.

```APIDOC
Prisma Postgres Database Management:
  Purpose: Gives LLMs the ability to manage Prisma Postgres databases.
  Capabilities: Supports spinning up new databases and running migrations or queries.
```

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### DealX MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

A dedicated Model Context Protocol (MCP) server designed for integration with the DealX platform, facilitating AI agent interaction with DealX functionalities.

```APIDOC
DealX MCP Server:
  - Purpose: Dedicated MCP server for the DealX platform.
  - Integration: Facilitates AI agent interaction with DealX functionalities.
```

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### Routine Productivity MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

MCP server for interacting with Routine, managing calendars, tasks, and notes.

```APIDOC
Routine Productivity Integration:
  Purpose: MCP server to interact with Routine.
  Capabilities: Manages calendars, tasks, notes, etc.
```

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### Pearch MCP Server Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

A people search engine integration that reduces time spent on talent discovery.

```APIDOC
Pearch People Search Engine Integration:
  Purpose: Best people search engine that reduces the time spent on talent discovery.
```

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### Root Signals AI Evaluation MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Equips AI agents with evaluation and self-improvement capabilities.

```APIDOC
Root Signals AI Evaluation and Self-Improvement:
  Purpose: Equip AI agents with evaluation and self-improvement capabilities with Root Signals.
```

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### PGYER MCP Server Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

MCP Server for the PGYER platform, supporting app uploading and querying.

```APIDOC
PGYER Platform Integration:
  Purpose: MCP Server for PGYER platform.
  Capabilities: Supports uploading, querying apps, etc.
```

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### Riza Arbitrary Code Execution MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

An arbitrary code execution and tool-use platform for LLMs by Riza.

```APIDOC
Riza Arbitrary Code Execution and Tool-use:
  Purpose: Arbitrary code execution and tool-use platform for LLMs by Riza.
```

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### Oxylabs MCP Server Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Integrates with Oxylabs Web API for web scraping, supporting dynamic rendering and structured data extraction.

```APIDOC
Oxylabs Web API Integration:
  Purpose: Scrape websites with Oxylabs Web API.
  Capabilities: Supports dynamic rendering and parsing for structured data extraction.
```

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### Dart MCP Server Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

This MCP server allows AI agents to interact with task, document, and project data within Dart, an AI-native project management tool. It provides a standardized interface for AI to manage and retrieve project-related information.

```APIDOC
Dart MCP Server:
  - Purpose: Interact with task, doc, and project data in Dart, an AI-native project management tool.
  - Integration: Provides a standardized interface for AI agents to manage and retrieve project-related information within the Dart platform.
```

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### Pearl MCP Server Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Official MCP Server for interacting with the Pearl API, connecting AI agents with certified experts.

```APIDOC
Pearl API Integration:
  Purpose: Official MCP Server to interact with Pearl API.
  Capabilities: Connects AI Agents with 12,000+ certified experts instantly.
```

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### Dash0 MCP Server for OpenTelemetry

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The Dash0 MCP server enables AI agents to navigate OpenTelemetry resources, investigate incidents, and query metrics, logs, and traces on the Dash0 platform. It provides programmatic access to observability data.

```APIDOC
Dash0 MCP Server:
  - Purpose: Navigate OpenTelemetry resources, investigate incidents, and query metrics, logs, and traces on Dash0.
  - Capabilities: Programmatic access for AI agents to observability data, facilitating automated analysis and incident response.
```

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### RAD Security Platform MCP Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Interacts with the RAD Security platform, providing AI-powered security insights for Kubernetes and cloud environments.

```APIDOC
RAD Security Platform Integration:
  Purpose: Interact with the RAD Security platform.
  Capabilities: Provides AI-powered security insights for Kubernetes and cloud environments.
```

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

### Perplexity Sonar API MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Connects to Perplexity's Sonar API for real-time web-wide research in conversational AI.

```APIDOC
Perplexity Sonar API Integration:
  Purpose: An MCP server that connects to Perplexity's Sonar API.
  Capabilities: Enables real-time web-wide research in conversational AI.
```

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### Reexpress Statistical Verification MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Enables Similarity-Distance-Magnitude statistical verification for search, software, and data science workflows.

```APIDOC
Reexpress Statistical Verification:
  Purpose: Enable Similarity-Distance-Magnitude statistical verification.
  Capabilities: Applicable for your search, software, and data science workflows.
```

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### Debugg AI MCP for End-to-End Testing

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The Debugg AI MCP server allows code generation agents to create and run zero-configuration end-to-end tests against new code changes in remote browsers. It integrates with the Debugg AI testing platform to automate testing workflows.

```APIDOC
Debugg AI MCP Server:
  - Purpose: Enable code generation agents to create and run 0-config end-to-end tests against new code changes.
  - Integration: Utilizes remote browsers via the Debugg AI testing platform.
  - Benefit: Automates testing workflows for AI-generated code, ensuring quality and functionality.
```

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### DataWorks MCP Server for Aliyun Open API

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

This MCP server provides tools for AI to interact with the DataWorks Open API through a standardized interface. Based on the Aliyun Open API, it enables AI agents to perform cloud resource operations seamlessly within the DataWorks environment.

```APIDOC
DataWorks MCP Server:
  - Purpose: Interact with the DataWorks Open API through a standardized interface.
  - Integration: Based on Aliyun Open API, enabling AI agents to perform seamless cloud resource operations within DataWorks.
  - Functionality: Provides AI tools for managing and automating tasks related to DataWorks cloud resources.
```

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### Digma MCP Server for Code Observability

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

A code observability MCP server that enables dynamic code analysis based on OpenTelemetry (OTEL) and Application Performance Monitoring (APM) data. It assists in code reviews, issue identification and fixing, and highlighting risky code for AI agents.

```APIDOC
Digma MCP Server:
  - Purpose: Code observability and dynamic code analysis.
  - Data Source: Based on OTEL/APM data.
  - Application: Assists AI agents in code reviews, issues identification and fixing, and highlighting risky code.
```

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### ElevenLabs MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The official ElevenLabs MCP server, providing a standardized interface for AI agents to interact with ElevenLabs' advanced speech synthesis and voice AI capabilities.

```APIDOC
ElevenLabs MCP Server:
  - Purpose: Official ElevenLabs MCP server.
  - Functionality: Provides a standardized interface for AI agents to interact with ElevenLabs' speech synthesis and voice AI capabilities.
```

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### dbt MCP Server for Data Build Tool

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The official MCP server for dbt (data build tool) provides integration with dbt Core/Cloud CLI, project metadata discovery, model information, and semantic layer querying capabilities. It allows AI agents to interact with dbt projects programmatically.

```APIDOC
dbt MCP Server:
  - Purpose: Official MCP server for dbt (data build tool).
  - Integration: Provides integration with dbt Core/Cloud CLI.
  - Capabilities: Enables project metadata discovery, model information retrieval, and semantic layer querying for AI agents.
```

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

### EdgeOne Pages MCP Service

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

An MCP service for deploying HTML content to EdgeOne Pages and obtaining a publicly accessible URL. It streamlines the process of publishing web content through AI agents.

```APIDOC
EdgeOne Pages MCP Service:
  - Purpose: Deploy HTML content to EdgeOne Pages and obtain a publicly accessible URL.
  - Functionality: Streamlines the process of publishing web content for AI agents.
```

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### PayPal MCP Server Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Enables integration with PayPal APIs through function calling, supporting various tools for different PayPal services.

```APIDOC
PayPal Model Context Protocol Server:
  Purpose: Integrate with PayPal APIs through function calling.
  Capabilities: Supports various tools to interact with different PayPal services.
```

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### Raygun Monitoring Data MCP Integration

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Interacts with crash reporting and real user monitoring data on your Raygun account.

```APIDOC
Raygun Monitoring Data Integration:
  Purpose: Interact with your crash reporting and real using monitoring data on your Raygun account.
```

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### Powerdrill AI Data Analysis MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Provides tools to interact with Powerdrill datasets, enabling smart AI data analysis and insights.

```APIDOC
Powerdrill AI Data Analysis Integration:
  Purpose: An MCP server that provides tools to interact with Powerdrill datasets.
  Capabilities: Enables smart AI data analysis and insights.
```

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### DeepWiki by Devin MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

A remote, no-authentication MCP server that provides AI-powered codebase context and answers. It enables AI agents to gain insights and retrieve information directly from codebases without requiring explicit authentication.

```APIDOC
DeepWiki by Devin MCP Server:
  - Purpose: Provides AI-powered codebase context and answers.
  - Access: Remote, no-authentication required.
  - Functionality: Enables AI agents to gain insights and retrieve information directly from codebases.
```

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### Playwright MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

A dedicated MCP server for Playwright.

```APIDOC
Playwright MCP Server:
  Purpose: Provides a dedicated MCP server for Playwright.
```

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### Fewsats MCP Server for Secure Purchases

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The Fewsats MCP server enables AI agents to purchase anything in a secure way using Fewsats. It provides a secure and automated interface for transactional operations.

```APIDOC
Fewsats MCP Server:
  - Purpose: Enable AI Agents to purchase anything in a secure way using Fewsats.
  - Functionality: Provides a secure and automated interface for AI-driven transactional operations.
```

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### Financial Datasets MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

An MCP server providing a stock market API specifically designed for AI agents. It offers programmatic access to financial data for analysis, trading, and research purposes.

```APIDOC
Financial Datasets MCP Server:
  - Purpose: Stock market API made for AI agents.
  - Functionality: Offers programmatic access to financial data for AI-driven analysis, trading, and research.
```

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### DevHub CMS MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

This MCP server allows AI agents to manage and utilize website content within the DevHub CMS platform. It provides a programmatic interface for content operations.

```APIDOC
DevHub CMS MCP Server:
  - Purpose: Manage and utilize website content within the DevHub CMS platform.
  - Functionality: Provides a programmatic interface for AI agents to perform content operations.
```

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### Semgrep Code Security MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Enables AI agents to secure code with Semgrep.

```APIDOC
Semgrep Code Security Integration:
  Purpose: Enable AI agents to secure code with Semgrep.
```

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### Fireproof MCP Database Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

An MCP database server providing an immutable ledger database with live synchronization. It offers a reliable and consistent data store for AI applications requiring data integrity and real-time updates.

```APIDOC
Fireproof MCP Database Server:
  - Purpose: Immutable ledger database with live synchronization.
  - Functionality: Offers a reliable and consistent data store for AI applications requiring data integrity and real-time updates.
```

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### DexPaprika MCP Server for DEX Analytics

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The DexPaprika MCP server provides AI agents with access to real-time DEX analytics across 20+ blockchains. Built by CoinPaprika, it tracks over 5 million tokens, pools, volumes, and historical market data via the DexPaprika API.

```APIDOC
DexPaprika MCP Server:
  - Purpose: Access real-time DEX analytics across 20+ blockchains.
  - Data Coverage: Tracks 5M+ tokens, pools, volumes, and historical market data.
  - Source: Built by CoinPaprika, leveraging the DexPaprika API.
```

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### E2B MCP Server for Secure Sandboxes

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The E2B MCP server allows AI agents to run code in secure sandboxes hosted by E2B. It provides a safe and isolated environment for executing potentially untrusted code.

```APIDOC
E2B MCP Server:
  - Purpose: Run code in secure sandboxes hosted by E2B.
  - Environment: Provides a safe and isolated environment for executing AI-generated or potentially untrusted code.
```

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### Fibery MCP Server for Workspace Operations

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The Fibery MCP server allows AI agents to perform queries and entity operations within their Fibery workspace. It provides programmatic access to Fibery's data and functionalities.

```APIDOC
Fibery MCP Server:
  - Purpose: Perform queries and entity operations in your Fibery workspace.
  - Functionality: Provides programmatic access for AI agents to Fibery's data and functionalities.
```

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### eSignatures MCP Server for Contract Management

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The eSignatures MCP server provides contract and template management functionalities for drafting, reviewing, and sending binding contracts. It allows AI agents to automate and streamline legal document workflows.

```APIDOC
eSignatures MCP Server:
  - Purpose: Contract and template management for drafting, reviewing, and sending binding contracts.
  - Application: Enables AI agents to automate and streamline legal document workflows.
```

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### Firecrawl MCP Server for Web Data Extraction

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The Firecrawl MCP server enables AI agents to extract web data using Firecrawl. It provides a streamlined interface for crawling and parsing web content.

```APIDOC
Firecrawl MCP Server:
  - Purpose: Extract web data with Firecrawl.
  - Functionality: Provides a streamlined interface for AI agents to crawl and parse web content.
```

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### Rember Spaced Repetition MCP

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

Enables creation of spaced repetition flashcards in Rember to aid memory within chats.

```APIDOC
Rember Spaced Repetition Flashcards:
  Purpose: Create spaced repetition flashcards in Rember.
  Capabilities: Helps remember anything you learn in your chats.
```

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### DeepResearch MCP Server

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

The DeepResearch MCP server powers a lightning-fast, high-accuracy deep research agent. It offers significantly faster research capabilities, greater depth and accuracy, and supports unlimited parallel runs for AI-driven research tasks.

```APIDOC
DeepResearch MCP Server:
  - Purpose: Powers a lightning-fast, high-accuracy deep research agent.
  - Performance: 8–10x faster, greater depth & accuracy, unlimited parallel runs.
  - Application: Designed for AI-driven research tasks requiring extensive and rapid information gathering.
```

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### Drand MCP Server for Verifiable Random Numbers

Source: https://github.com/wong2/awesome-mcp-servers/blob/main/README.md

An MCP server designed for fetching verifiable random numbers from the drand network. It provides a reliable source of randomness for AI applications requiring cryptographic security.

```APIDOC
Drand MCP Server:
  - Purpose: Fetch verifiable random numbers from the drand network.
  - Application: Provides a reliable source of cryptographic randomness for AI applications.
```
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