How do I install Awesome MCP Servers?

Run npx awesome-mcp-servers, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

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

Its trust score is 56 out of 100 (fair). It passes 0 of 1 static security checks; 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 8 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.

About Awesome MCP Servers

Awesome MCP Servers is an MCP server published by itskiranbabu in the AI category: 🚀 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. It has been installed 0 times through Conduid.

The repository has 2 stars and 0 forks, with the last commit 8 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

npx 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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!Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

🚀 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

🎯 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

🔌 Universal Integration: One protocol for all AI-tool connections
🏗️ Client-Server Architecture: Clean separation of concerns
📡 Multiple Transports: STDIO for local, HTTP+SSE for remote
🔒 Secure by Design: Permission-based access control
🚀 Production Ready: Used by Claude, Cursor, and major AI platforms

Architecture

┌─────────────────┐
│   AI Host App   │  (Claude Desktop, Cursor, etc.)
│  ┌───────────┐  │
│  │MCP Client │  │
│  └─────┬─────┘  │
└────────┼────────┘
         │ JSON-RPC 2.0
         │
    ┌────┴────┐
    │Transport│  (STDIO / HTTP+SSE)
    └────┬────┘
         │
┌────────┼────────┐
│  ┌─────┴─────┐  │
│  │MCP Server │  │  (GitHub, Database, Files, etc.)
│  └───────────┘  │
│   Data Source   │
└─────────────────┘

💡 Why MCP Matters

Before MCP

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

With MCP

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

🚀 Getting Started

Quick Start with Claude Desktop

Install Claude Desktop

# Download from https://claude.ai/download

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"]
    }
  }
}

Restart Claude Desktop

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": "72°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

🔥 Top Community Picks

Development & DevOps

mcp-server-docker - Docker container management
mcp-server-kubernetes - Kubernetes cluster operations
mcp-server-terraform - Infrastructure as code
mcp-server-aws - AWS services integration
mcp-server-vercel - Vercel deployment

AI & Machine Learning

mcp-server-openai - OpenAI API integration
mcp-server-anthropic - Claude API
mcp-server-huggingface - HuggingFace models
mcp-server-replicate - Replicate AI models
mcp-server-langchain - LangChain integration

Databases & Storage

mcp-server-mongodb - MongoDB operations
mcp-server-redis - Redis cache
mcp-server-supabase - Supabase backend
mcp-server-firebase - Firebase services
mcp-server-pinecone - Vector database

Communication & Collaboration

mcp-server-discord - Discord bot integration
mcp-server-telegram - Telegram bots
mcp-server-notion - Notion workspace
mcp-server-linear - Linear issue tracking
mcp-server-jira - Jira project management

Web Scraping & Data

mcp-server-firecrawl - Web scraping
mcp-server-browserbase - Browser automation
mcp-server-playwright - E2E testing
mcp-server-cheerio - HTML parsing
mcp-server-axios - HTTP requests

Finance & Business

mcp-server-stripe - Payment processing
mcp-server-plaid - Banking data
mcp-server-quickbooks - Accounting
mcp-server-salesforce - CRM integration
mcp-server-hubspot - Marketing automation

💻 MCP Clients

Production-Ready Clients

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

Custom Client Libraries

Python: mcp - Official Python SDK
TypeScript: @modelcontextprotocol/sdk - Official TS SDK
Java: mcp-java-sdk - Official Java SDK
Kotlin: mcp-kotlin - Official Kotlin SDK
C#: mcp-csharp - Official C# SDK

🛠️ 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

mcp-test-utils - Testing utilities
mcp-mock-server - Mock server for testing

🎓 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

Machine Learning Specialization - Andrew Ng's comprehensive ML course
Deep Learning Specialization - Neural networks and deep learning
PyTorch for Deep Learning - Professional certificate program
Anthropic MCP Course - Advanced MCP topics

📖 Essential Reading

Books

"Deep Learning" by Ian Goodfellow - The definitive textbook
"Hands-On Machine Learning" by Aurélien Géron - Practical guide
"Pattern Recognition and Machine Learning" by Christopher Bishop
"The Hundred-Page Machine Learning Book" by Andriy Burkov

Research Papers

Model Context Protocol Specification - Official spec
Attention Is All You Need - Transformer architecture
BERT: Pre-training of Deep Bidirectional Transformers
GPT-3: Language Models are Few-Shot Learners

🎯 Hands-On Resources

Interactive Tutorials

MCP Quickstart - Official getting started
Build an MCP Server - Step-by-step guide
Build an MCP Client - Client development
Kaggle Learn - Practical ML tutorials

Video Courses

DeepLearning.AI YouTube - Free video courses
3Blue1Brown - Visual math explanations
Sentdex - Python ML tutorials
Two Minute Papers - AI research summaries

🏆 Certifications

AWS Certified AI Practitioner - AWS AI certification
Azure AI Fundamentals - Microsoft certification
TensorFlow Developer Certificate - Google certification
IBM AI Engineering Professional Certificate - IBM certification

📚 Tutorials & Guides

Getting Started

MCP Introduction - What is MCP?
Architecture Overview - How MCP works
Connect Local Servers - Setup guide
Connect Remote Servers - Remote setup

Building Servers

Python Server Tutorial - Build with Python
TypeScript Server Tutorial - Build with TS
Server Best Practices - Production tips
Security Guidelines - Secure your server

Integration Guides

Claude Desktop Integration - Setup with Claude
Cursor Integration - Setup with Cursor
VS Code Integration - VS Code extension
Custom Client Development - Build your own

💎 Best Practices

Server Development

✅ 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 → Fetches commits → Analyzes code
Claude: Provides detailed review with suggestions

Database Query Helper

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

Business Automation

Customer Support

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

Financial Analysis

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

Content Creation

Blog Post Generator

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

Social Media Manager

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

🤝 Contributing

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

How to Contribute

Fork this repository
Create a feature branch (git checkout -b feature/amazing-server)
Commit your changes (git commit -m 'Add amazing MCP server')
Push to the branch (git push origin feature/amazing-server)
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

📊 Statistics

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

🌐 Community

Official Resources

MCP Documentation - Official docs
MCP Specification - Technical spec
MCP GitHub - Source code
Anthropic Blog - Announcements

Community Platforms

MCP Servers Directory - Browse servers
Glama MCP Registry - Server registry
Reddit r/mcp - Community discussions
Discord - Real-time chat

Learning Communities

DeepLearning.AI Community - 7M+ learners
Kaggle Community - Data science competitions
Fast.ai Forums - Deep learning discussions
Hugging Face Forums - NLP community

📄 License

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

🌟 Star History

💖 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

📬 Connect

GitHub: @itskiranbabu
Email: itskeyrun.ai@gmail.com
Website: itskiranbabu.github.io

Made with ❤️ by itskiranbabu

Empowering developers to build the future with AI and MCP

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README mirrored from the source repository 3 months ago. The original is authoritative.