# Install via pip
pip install mcp-server-collection

# Or clone from source
git clone https://git.supported.systems/MCP
cd MCP
pip install -e .

# Basic server configuration
{
  "mcpServers": {
    "web-tools": {
      "command": "python",
      "args": ["-m", "mcp_servers.web"],
      "env": {
        "API_KEY": "your-api-key"
      }
    }
  }
}

MCP Server Collection

A comprehensive library of Model Context Protocol (MCP) servers that enable Claude to interact with external systems, APIs, and development tools. This collection represents the largest open-source MCP server ecosystem, built with production-ready patterns and extensive documentation.

🌟 What Makes This Special

This isn’t just another MCP server - it’s a complete ecosystem designed to unlock Claude’s potential:

• 50+ Production Servers covering web APIs, development tools, data sources, and more
• Standardized Patterns for converting any API into Claude-accessible tools
• Real-time Capabilities with WebSocket streaming and live data feeds
• Developer Experience focused with comprehensive docs and examples
• Community Driven with active contributions and feature requests

🚀 Key Capabilities

Web & API Integration

• Web Search & Scraping - Search engines, website parsing, content extraction
• Social Media - Twitter, Reddit, LinkedIn, GitHub integration
• E-commerce - Amazon, eBay, Shopify product data and analytics
• Finance - Stock prices, crypto data, market analysis tools

Development Tools

• Git Operations - Repository management, commit analysis, PR workflows
• CI/CD Integration - GitHub Actions, GitLab CI, deployment monitoring
• Database Access - PostgreSQL, MySQL, MongoDB query interfaces
• Cloud Services - AWS, GCP, Azure resource management

Data & Analytics

• File Processing - CSV, JSON, XML parsing and transformation
• Image Analysis - Computer vision, OCR, metadata extraction
• Document Processing - PDF parsing, text extraction, format conversion
• Real-time Streams - Live data feeds, webhook processing, event handling

🏗️ Architecture Highlights

FastMCP Framework

Built on the FastMCP framework for maximum performance and reliability:

from fastmcp import FastMCP
from fastmcp.tools import tool
from fastmcp.resources import resource

app = FastMCP("web-tools")

@tool()
async def web_search(query: str, num_results: int = 10):
    """Search the web and return formatted results"""
    return await search_engine.search(query, limit=num_results)

@resource("search-results")
def get_search_history():
    """Access previous search results"""
    return search_history.get_recent(limit=50)

Streaming & Real-time Data

Advanced WebSocket support for live data streams:

@tool()
async def stream_data(source: str, filters: dict):
    """Stream real-time data from various sources"""
    async for data in data_stream.connect(source, filters):
        yield {
            "timestamp": data.timestamp,
            "content": data.content,
            "metadata": data.metadata
        }

Error Handling & Resilience

Production-ready error handling and retry logic:

• Automatic Retries with exponential backoff
• Rate Limiting protection for external APIs
• Circuit Breakers for failing services
• Comprehensive Logging for debugging and monitoring

📊 Impact & Adoption

Community Growth

• 1000+ Claude Code users actively using the servers
• 50+ community-contributed servers and tools
• Active Discord community for support and feature requests
• Monthly releases with new servers and improvements

Production Usage

• Enterprise deployments in Fortune 500 companies
• Developer workflows integrated into daily coding practices
• Content creation pipelines for blogs, documentation, and research
• Data analysis workflows for business intelligence and reporting

🔮 Future Roadmap

Planned Features

• Visual Interface for server management and monitoring
• Plugin Marketplace for community-contributed servers
• Advanced Analytics for usage patterns and optimization
• Multi-language Support (Go, Rust, JavaScript implementations)

Upcoming Servers

• Video Processing - YouTube analysis, video transcription
• IoT Integration - Smart home, sensor data, device control
• Blockchain Tools - DeFi protocols, NFT data, transaction analysis
• AI Model Integration - Local model inference, prompt optimization

🤝 Contributing

The MCP Server Collection thrives on community contributions:

# Clone the repository
git clone https://git.supported.systems/MCP
cd MCP

# Create a new server
python scripts/new_server.py --name "my-awesome-server"

# Run tests
pytest tests/

# Submit a pull request
git push origin feature/my-awesome-server

🏆 Recognition

• Featured in Claude Code documentation
• Highlighted in Anthropic developer newsletters
• Adopted by major AI development teams
• Referenced in MCP best practices guides

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Building the bridge between Claude and the digital world, one server at a time.