{"repo":"PDBeurope/PDBe-MCP-Servers","free":true,"listed":false,"github":"https://github.com/PDBeurope/PDBe-MCP-Servers","clone":"git clone https://github.com/PDBeurope/PDBe-MCP-Servers.git","description":"PDBe MCP Servers integrate Protein Data Bank Europe resources with LLMs via Model Context Protocol. Provides seamless access to protein structure data through API tools and graph database schema assistance for intelligent Cypher query generation, bridging structural biology and AI research.","language":"Python","stars":37,"topics":["ai-integration","api-server","bioinformatics","knowledge-graph","llm-tools","mcp","pdbe","protein-structures","python","structural-biology"],"license":"Apache-2.0","category":"mcp-servers","readme_excerpt":"PDBe MCP Servers A set of Model Context Protocol (MCP) servers that provides seamless access to the Protein Data Bank in Europe (PDBe) API and PDBe Search. These servers expose PDBe's comprehensive structural biology data as MCP tools, enabling direct integration with any AI client that supports MCP. The package also includes an advanced PDBe Graph server for users who run their own local PDBe-KB Neo4j graph database. PDBe does not provide a public running graph database instance for this MCP server to query, so most users should start with the API and Search servers. Features: - PDBe API Server : Access core structural data through REST API endpoints - PDBe Search Server : Perform advanced Solr-based searches across structural data - PDBe Graph Server : Inspect the graph schema and, with a local PDBe-KB Neo4j setup, query complex relationships and molecular interactions Prerequisites - Python 3.10+ - Required for the server runtime - uv - Fast Python package manager and dependency resolver Installation Quick Start Run directly from PyPI: The tool is available on PyPI and can be run directly with uvx without any installation step. Alternative: Local Development Installation For development work or customization: 1. Clone and navigate to the repository: 2. Create a virtual environment: 3. Install with uv: AI Client Integration Configuration 1. Open your AI client's MCP configuration. MCP-compatible clients use different settings locations and file formats. Many JSON-based clie","default_branch":null,"files":null,"tree":[],"storefront":"/r/PDBeurope","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/PDBeurope/PDBe-MCP-Servers/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}