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Awesome MCP Servers

πŸš€ Awesome Model Context Protocol (MCP) - The Ultimate MCP Resource Hub with 100+ servers, AI learning resources, tutorials & best practices | Curated by itskiranbabu | Powered by KeyRun AI

Unclaimed MIT last commit 9 months ago ai
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About Awesome MCP Servers

Awesome MCP Servers is an MCP server published by itskiranbabu in the AI category: πŸš€ Awesome Model Context Protocol (MCP) - The Ultimate MCP Resource Hub with 100+ servers, AI learning resources, tutorials & best practices | Curated by itskiranbabu | Powered by KeyRun AI.

The repository has 2 stars and 9 forks, with the last commit 9 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/itskiranbabu/awesome-mcp-servers

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

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  • βœ“README presentThe repository ships documentation.
  • βœ“License declaredUsable under a stated license.
  • !Tests presentNo tests found. Behaviour changes may go unnoticed between versions.
  • !Dependencies pinnedNo lockfile. Installs can pull different code over time.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

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README

πŸš€ Awesome Model Context Protocol (MCP)

The Ultimate MCP Resource Hub - Your comprehensive guide to Model Context Protocol servers, AI integration, and learning resources

Curated with ❀️ by itskiranbabu | Powered by KeyRun AI

Awesome GitHub stars GitHub forks PRs Welcome


πŸ“– Table of Contents


🎯 What is MCP?

Model Context Protocol (MCP) is an open-source standard released by Anthropic in November 2024 that standardizes how AI applications connect to external data sources and tools.

Key Features

  • πŸ”Œ Universal Integration: One protocol for all AI-tool connections
  • πŸ—οΈ Client-Server Architecture: Clean separation of concerns
  • πŸ“‘ Multiple Transports: STDIO for local, HTTP+SSE for remote
  • πŸ”’ Secure by Design: Permission-based access control
  • πŸš€ Production Ready: Used by Claude, Cursor, and major AI platforms

Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   AI Host App   β”‚  (Claude Desktop, Cursor, etc.)
β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚MCP Client β”‚  β”‚
β”‚  β””β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”˜  β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”˜
         β”‚ JSON-RPC 2.0
         β”‚
    β”Œβ”€β”€β”€β”€β”΄β”€β”€β”€β”€β”
    β”‚Transportβ”‚  (STDIO / HTTP+SSE)
    β””β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”˜
         β”‚
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”Όβ”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  β”Œβ”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”  β”‚
β”‚  β”‚MCP Server β”‚  β”‚  (GitHub, Database, Files, etc.)
β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
β”‚   Data Source   β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

πŸ’‘ Why MCP Matters

Before MCP

  • ❌ Custom integration for each AI-tool pair
  • ❌ Fragmented ecosystem
  • ❌ Difficult maintenance
  • ❌ Limited interoperability

With MCP

  • βœ… 55%+ productivity gains in AI workflows
  • βœ… One integration works with all MCP clients
  • βœ… Standardized protocol for consistency
  • βœ… Growing ecosystem of 13,000+ servers
  • βœ… Enterprise ready with security controls

πŸš€ Getting Started

Quick Start with Claude Desktop

  1. Install Claude Desktop

    # Download from https://claude.ai/download
    
  2. Configure MCP Server

    // ~/.claude/mcp_servers.json (macOS/Linux)
    // %APPDATA%\Claude\mcp_servers.json (Windows)
    {
      "mcpServers": {
        "filesystem": {
          "command": "npx",
          "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/allowed/files"]
        }
      }
    }
    
  3. Restart Claude Desktop

  4. Test Integration

    Ask Claude: "List files in my project directory"
    

Building Your First MCP Server

Python Example:

from mcp.server import Server
from mcp.types import Tool

server = Server("my-first-server")

@server.list_tools()
async def list_tools() -> list[Tool]:
    return [
        Tool(
            name="get_weather",
            description="Get current weather for a location",
            inputSchema={
                "type": "object",
                "properties": {
                    "location": {"type": "string"}
                }
            }
        )
    ]

@server.call_tool()
async def call_tool(name: str, arguments: dict):
    if name == "get_weather":
        location = arguments["location"]
        # Your weather API logic here
        return {"temperature": "72Β°F", "condition": "Sunny"}

if __name__ == "__main__":
    server.run()

TypeScript Example:

import { Server } from "@modelcontextprotocol/sdk/server/index.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";

const server = new Server({
  name: "my-first-server",
  version: "1.0.0"
});

server.setRequestHandler("tools/list", async () => ({
  tools: [{
    name: "get_weather",
    description: "Get current weather",
    inputSchema: {
      type: "object",
      properties: {
        location: { type: "string" }
      }
    }
  }]
}));

const transport = new StdioServerTransport();
await server.connect(transport);

🌟 Official MCP Servers

Development Tools

Server Description Language Stars
@modelcontextprotocol/server-filesystem Secure file system access TypeScript ⭐⭐⭐⭐⭐
@modelcontextprotocol/server-github GitHub repository operations TypeScript ⭐⭐⭐⭐⭐
@modelcontextprotocol/server-git Git operations and history TypeScript ⭐⭐⭐⭐
@modelcontextprotocol/server-gitlab GitLab integration TypeScript ⭐⭐⭐⭐

Data & Databases

Server Description Language Stars
@modelcontextprotocol/server-postgres PostgreSQL database access TypeScript ⭐⭐⭐⭐⭐
@modelcontextprotocol/server-sqlite SQLite database operations TypeScript ⭐⭐⭐⭐
@modelcontextprotocol/server-memory Knowledge graph memory TypeScript ⭐⭐⭐⭐⭐

Cloud & Services

Server Description Language Stars
@modelcontextprotocol/server-google-drive Google Drive integration TypeScript ⭐⭐⭐⭐⭐
@modelcontextprotocol/server-slack Slack messaging TypeScript ⭐⭐⭐⭐
@modelcontextprotocol/server-google-maps Google Maps API TypeScript ⭐⭐⭐⭐

Utilities

Server Description Language Stars
@modelcontextprotocol/server-fetch Web content fetching TypeScript ⭐⭐⭐⭐
@modelcontextprotocol/server-brave-search Brave Search API TypeScript ⭐⭐⭐⭐
@modelcontextprotocol/server-puppeteer Browser automation TypeScript ⭐⭐⭐⭐⭐

🎨 Community MCP Servers

πŸ”₯ Top Community Picks

Development & DevOps

AI & Machine Learning

Databases & Storage

Communication & Collaboration

Web Scraping & Data

Finance & Business


πŸ’» MCP Clients

Production-Ready Clients

Client Platform Features Status
Claude Desktop Desktop Built-in MCP support βœ… Stable
Cursor IDE Code-first AI editor βœ… Stable
Zed IDE Collaborative coding βœ… Beta
Continue VS Code Open-source copilot βœ… Stable
Cline VS Code Autonomous coding βœ… Beta

Custom Client Libraries


πŸ› οΈ Development Tools

MCP Inspector

Debug and test MCP servers interactively:

npx @modelcontextprotocol/inspector npx @modelcontextprotocol/server-filesystem /path/to/files

MCP CLI

Command-line tools for MCP development:

# Install
npm install -g @modelcontextprotocol/cli

# Create new server
mcp create my-server --language typescript

# Test server
mcp test ./my-server

# Publish server
mcp publish

Testing Frameworks


πŸŽ“ AI Learning Resources

🌟 Comprehensive Courses

Beginner-Friendly

Platform Course Duration Cost
DeepLearning.AI AI Fundamentals Varies Free/Paid
Coursera AI Specializations 1-6 months Free trial
Fast.ai Practical Deep Learning Self-paced Free
Google ML Crash Course ML Fundamentals 15 hours Free

Advanced Learning

πŸ“– Essential Reading

Books

  • "Deep Learning" by Ian Goodfellow - The definitive textbook
  • "Hands-On Machine Learning" by AurΓ©lien GΓ©ron - Practical guide
  • "Pattern Recognition and Machine Learning" by Christopher Bishop
  • "The Hundred-Page Machine Learning Book" by Andriy Burkov

Research Papers

🎯 Hands-On Resources

Interactive Tutorials

Video Courses

πŸ† Certifications


πŸ“š Tutorials & Guides

Getting Started

  1. MCP Introduction - What is MCP?
  2. Architecture Overview - How MCP works
  3. Connect Local Servers - Setup guide
  4. Connect Remote Servers - Remote setup

Building Servers

Integration Guides


πŸ’Ž Best Practices

Server Development

βœ… Do's

  • Use TypeScript/Python SDKs for type safety
  • Implement proper error handling with descriptive messages
  • Add comprehensive logging for debugging
  • Follow security best practices (input validation, rate limiting)
  • Document your tools clearly with examples
  • Test thoroughly before publishing
  • Version your server semantically

❌ Don'ts

  • Don't expose sensitive data without permission
  • Don't skip input validation
  • Don't ignore error cases
  • Don't hardcode credentials
  • Don't skip documentation
  • Don't forget rate limiting

Security Checklist

  • Input validation on all parameters
  • Permission checks before operations
  • Rate limiting implemented
  • Secrets stored securely (env vars)
  • HTTPS for remote servers
  • Audit logging enabled
  • Error messages don't leak sensitive info
  • Dependencies regularly updated

Performance Tips

  • Cache frequently accessed data
  • Use connection pooling for databases
  • Implement pagination for large datasets
  • Add request timeouts
  • Monitor resource usage
  • Optimize database queries
  • Use async/await properly

🎯 Use Cases

Development Workflows

Code Review Assistant

User: "Review the last 5 commits in my repo"
MCP: Uses GitHub server β†’ Fetches commits β†’ Analyzes code
Claude: Provides detailed review with suggestions

Database Query Helper

User: "Show me users who signed up last week"
MCP: Uses PostgreSQL server β†’ Executes query
Claude: Formats results in readable table

Business Automation

Customer Support

User: "Summarize today's support tickets"
MCP: Uses Linear/Jira server β†’ Fetches tickets
Claude: Creates summary with priorities

Financial Analysis

User: "Analyze Q4 revenue trends"
MCP: Uses Stripe/QuickBooks server β†’ Gets data
Claude: Generates insights and visualizations

Content Creation

Blog Post Generator

User: "Write a blog post about MCP"
MCP: Uses Brave Search β†’ Research topic
Claude: Writes comprehensive article

Social Media Manager

User: "Post update about new feature"
MCP: Uses Twitter/LinkedIn servers β†’ Posts content
Claude: Confirms posting and engagement

🀝 Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

How to Contribute

  1. Fork this repository
  2. Create a feature branch (git checkout -b feature/amazing-server)
  3. Commit your changes (git commit -m 'Add amazing MCP server')
  4. Push to the branch (git push origin feature/amazing-server)
  5. Open a Pull Request

Contribution Guidelines

  • Ensure servers are actively maintained
  • Provide clear descriptions
  • Include installation instructions
  • Test servers before submitting
  • Follow the existing format
  • Check for duplicates

πŸ“Š Statistics

  • 13,000+ MCP servers available
  • 100+ official integrations
  • 55%+ productivity improvement
  • Growing ecosystem daily

🌐 Community

Official Resources

Community Platforms

Learning Communities


πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.


🌟 Star History

Star History Chart


πŸ’– Acknowledgments

Curated by itskiranbabu | Powered by KeyRun AI

Special thanks to:

  • Anthropic for creating MCP
  • wong2 for the original awesome list
  • All contributors to the MCP ecosystem
  • The AI/ML community for amazing learning resources

πŸ“¬ Connect


Made with ❀️ by itskiranbabu

Empowering developers to build the future with AI and MCP

⬆ Back to Top

README fetched from the repository 4 days ago. The original is authoritative.

Questions

About Awesome MCP Servers

How do I install Awesome MCP Servers?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Awesome MCP Servers safe to use with an AI agent?

Its trust score is 56 out of 100 (fair). It passes 2 of the 5 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Awesome MCP Servers still maintained?

The last commit was 9 months ago and 11 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.