Discover and Provision AI Tools
Access 2,037+ MCP servers for AI assistants. Find tools for weather, domain checks, stocks, and web scraping with semantic search.
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Why it matters
Access a vast, curated database of over 2,000 MCP servers for AI assistants. This meta-MCP server acts as a central discovery and provisioning service, ensuring you find the precise tool for your task.
Outcomes
What it gets done
Discover MCP servers for specific domains like weather, domain availability, stock markets, or web scraping.
Leverage semantic search for sub-second tool retrieval.
Benefit from automatic updates and intelligent deduplication of server information.
Integrate seamlessly with AI assistants for tool provisioning.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-mcp-mcp | bash Capabilities
Tools your agent gets
Search through 2,037+ MCP servers using semantic search with precomputed embeddings for sub-second responses.
List available MCP servers from multiple curated sources including official and community collections.
Retrieve detailed information about a specific MCP server including capabilities and configuration.
Overview
mcp-mcp MCP Server
The mcp-mcp is a meta-MCP server that acts as a tool discovery and provisioning service. It provides access to over 2,037 MCP servers aggregated from multiple curated sources, including official MCP servers and community collections. It features intelligent deduplication, automatic updates every 3 hours, and semantic search with precomputed embeddings for fast responses. Use mcp-mcp when you need to find the right tools for your AI assistants from an extensive and up-to-date database. It is ideal for scenarios requiring quick access to diverse functionalities like weather data, domain availability checking, stock market information, or web scraping.
What it does
As an AI assistant developer, I want to easily discover and provision the right tools for my AI agents, so that they can perform a wide range of tasks efficiently.
Big Job: Enable AI agents to access a vast and diverse ecosystem of specialized tools.
Small Job: Quickly find and integrate relevant MCP servers for specific functionalities like weather data retrieval or domain availability checks.
Installation can be done via uvx:
uvx mcp-mcp
Or from source:
git clone https://github.com/your-username/mcp-mcp.git
cd mcp-mcp
uv sync
uv run main.py
Example usage queries include:
Find me an MCP server for weather data
I need a server for domain availability checking
Source README
A meta-MCP server that acts as a tool discovery and provisioning service, providing access to an extensive database of 2,037+ MCP servers from multiple curated sources, helping AI assistants find the right tools.
Installation
uvx
uvx mcp-mcp
From Source
git clone https://github.com/your-username/mcp-mcp.git
cd mcp-mcp
uv sync
uv run main.py
Configuration
Claude Desktop
{
"mcpServers": {
"mcp-mcp": {
"command": "uvx",
"args": ["mcp-mcp"]
}
}
}
Claude Desktop (pipx)
{
"mcpServers": {
"mcp-mcp": {
"command": "mcp-mcp"
}
}
}
Features
- Access to 2,037+ MCP servers from multiple curated sources
- Aggregation of official MCP servers (modelcontextprotocol/servers)
- Community collections from Punkpeye & Appcypher awesome lists
- Intelligent deduplication eliminates duplicates across sources
- Automatic updates every 3 hours with the latest community servers
- Semantic search with precomputed embeddings for sub-second responses
- Enhanced security with source validation middleware
Environment Variables
Optional
MCP_MCP_TEST_GITHUB_INTEGRATION- Set to 1 to enable GitHub integration tests
Usage Examples
Find me an MCP server for weather data
I need a server for domain availability checking
Find MCP servers related to stock market data
What MCP servers are available for web scraping?
Resources
Notes
The server supports both STDIO and HTTP transport modes. Configuration files are located at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS and %APPDATA%\Claude\claude_desktop_config.json on Windows. The database is automatically updated every 3 hours.
FAQ
Common questions
Discussion
Questions & comments · 0
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