ToolCatalog: MCP Server Catalog & Discovery Platform

The definitive discovery platform for the Model Context Protocol ecosystem. Find, evaluate, and integrate MCP servers with our comprehensive, searchable database of curated and validated server information.

Visit ToolCatalog View on GitHub

Key Features

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Intelligent Server Discovery

Automated processing from the official MCP repository with metadata extraction and configuration parsing.

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Advanced Filtering & Search

Multi-dimensional search by server name, description, tags, and functionality with real-time results.

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Rich Server Information

Detailed server profiles with configuration export, repository analytics, and verification badges.

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Developer-Friendly

JSON data feed for programmatic access, local icon storage, and configuration validation.

Use Cases

AI Application Development

Developers building AI applications need to integrate various data sources and tools. ToolCatalog provides rapid discovery and integration of relevant MCP servers.

Enterprise AI Platform Integration

Organizations building internal AI platforms need reliable server catalogs. Embed ToolCatalog's JSON feed into internal developer portals.

MCP Client Development

Developers building MCP clients need to test with various servers. ToolCatalog provides easy access to diverse server types for testing and validation.

AI Tool Discovery

AI practitioners need to find tools for specific tasks. Search and filter servers by functionality and tags for quick discovery.

Benefits

For Developers

Time savings with no manual research needed
Reliable data from official sources
Easy integration with JSON API
Configuration ready for immediate use

For AI Practitioners

Server discovery for specific use cases
Quality assurance with verified servers
Quick setup with copy-paste configurations
Community insights and popularity metrics

For Organizations

Standardization across development teams
Risk mitigation with verified sources
Compliance with official repositories
Scalability with machine-readable format

For the MCP Ecosystem

Improved discoverability of MCP servers
Quality improvement through better documentation
Standardization of metadata formats
Growth of the broader AI community

Technical Architecture

Data Pipeline

Server Scraper: Processes the official MCP servers README
README Downloader: Fetches documentation from GitHub repositories
Config Processor: Extracts MCP configurations from documentation
Config Prioritizer: Applies priority rules to select optimal configurations
Icon Processor: Downloads and optimizes server icons

Data Outputs

servers.json: Public JSON feed with remote icon URLs
servers-local.json: Local JSON feed with local icon references
public/icons/: Optimized icon files for web display
Web Interface: Next.js static site for browsing and discovery

Automation

Daily Updates: GitHub Actions run daily to update the catalog
Smart Processing: Only processes changed or new servers for efficiency
Error Handling: Robust error handling and recovery mechanisms
Quality Validation: Automatic validation of server configurations and metadata

Getting Started

For End Users

Visit the ToolCatalog website
Search and filter servers by your needs
Click on a server to view detailed information
Copy the configuration for use in your MCP client

For Developers

Access the JSON feed: servers.json
Parse the JSON data in your application
Use server configurations and metadata as needed
Optionally embed the web interface in your application

For Contributors

Fork the ToolCatalog repository
Run the catalog builder: npm run catalog:build
Submit improvements to the catalog processing logic
Help maintain and improve the web interface

Ready to Discover MCP Servers?

Start exploring the comprehensive catalog of MCP servers and accelerate your AI development.

Visit ToolCatalog View on GitHub