registry
by biocontext-ai
Overview
This repository serves as a centralized registry and validation framework for biomedical Model Context Protocol (MCP) servers, enhancing their discoverability and ensuring metadata compliance for an AI-driven ecosystem.
Installation
./build.shSecurity Notes
The validation and aggregation scripts execute arbitrary commands (`uvx`, `npx`, `python -c ...` via `runpy.run_path` from remote URLs) defined in `mcp.json` files for each registered server. This poses a critical supply chain risk if `mcp.json` inputs are not thoroughly vetted and from trusted sources, potentially leading to arbitrary code execution in the build/validation environment. Direct network requests to user-defined URLs also pose a risk during the validation process.
Similar Servers
awesome-mcp-servers
This repository serves as a curated directory for discovering a wide range of Model Context Protocol (MCP) servers, designed to extend AI capabilities by enabling interaction with local and remote resources.
registry
The MCP registry provides MCP clients with a list of MCP servers, acting as an app store for MCP servers by cataloging their metadata.
mcp-servers
Provides a curated collection of Model Context Protocol (MCP) server configurations to enable AI agents to interact with various developer tools and services.
mcp-mcp
A Meta-MCP server to discover, suggest, and potentially provision other Model Context Protocol (MCP) servers for AI assistants.