particlefuture/MCPDiscovery
by Various
π βοΈ π π πͺ - MCP of MCPs. Automatic discovery and configure MCP servers on your local machine.
MCP
particlefuture/MCPDiscovery
Added 1 June 2026
Overview
A Python tool that automatically discovers and configures MCP (Model Context Protocol) servers on your local machine. It functions as a meta-MCP server, detecting available MCP servers and setting them up without manual intervention. The project is hosted on GitHub with 50 stars.
Best for
Best for
Developers who need to quickly set up and manage multiple MCP servers on their local machine
Use cases
- Automatically detect MCP servers running on the local machine
- Configure multiple MCP servers in a single step
- Simplify development workflows that rely on MCP server connections
How to use
Install
npx -y @1mcpserver/1mcpserver Tested with
Claude Desktop, Cursor
Example client config
{\n "mcpServers": {\n "1mcpserver": {\n "url": "https://mcp.1mcpserver.com/mcp/",\n "headers": {\n "Accept": "text/event-stream",\n "Cache-Control": "no-cache"\n }\n }\n }\n} Notes
A Python tool that automatically discovers and configures MCP (Model Context Protocol) servers on your local machine. It functions as a meta-MCP server, detecting available MCP servers and setting them up without manual intervention. The project is hosted on GitHub with 50 stars.
50 stars on GitHub. Last updated 2025-12-31. Licensed Apache-2.0.
Use cases
- Automatically detect MCP servers running on the local machine
- Configure multiple MCP servers in a single step
- Simplify development workflows that rely on MCP server connections
Pros
- Automates the discovery and configuration of MCP servers
- Lightweight Python implementation
- Useful for local development and testing
Cons
- Limited to local machine discovery only
- Small community size (50 stars) may mean less support and fewer contributions
- No indication of support for remote or cloud-based MCP servers
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Automates the discovery and configuration of MCP servers
- Lightweight Python implementation
- Useful for local development and testing
Cons
- Limited to local machine discovery only
- Small community size (50 stars) may mean less support and fewer contributions
- No indication of support for remote or cloud-based MCP servers
Pairs with
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