{"repo":"Augmented-Nature/AlphaFold-MCP-Server","free":true,"listed":false,"github":"https://github.com/Augmented-Nature/AlphaFold-MCP-Server","clone":"git clone https://github.com/Augmented-Nature/AlphaFold-MCP-Server.git","description":"A comprehensive Model Context Protocol (MCP) server that provides access to the AlphaFold Protein Structure Database through a rich set of tools and resources for protein structure prediction analysis.","language":"JavaScript","stars":36,"topics":["alphafold","bioinformatics","cheminformatics","drug-design","drug-discovery","mcp-server","model-context-protocol"],"license":null,"category":"mcp-servers","readme_excerpt":"AlphaFold MCP Server A comprehensive Model Context Protocol (MCP) server that provides access to the AlphaFold Protein Structure Database through a rich set of tools and resources for protein structure prediction analysis. Overview This MCP server enables seamless integration with AlphaFold's vast collection of protein structure predictions, offering tools for structure retrieval, confidence analysis, batch processing, and visualization preparation. Perfect for researchers, bioinformaticians, and structural biologists working with predicted protein structures. Features 🧬 Core Structure Tools - Structure Retrieval : Get AlphaFold predictions by UniProt ID - Multi-format Downloads : Support for PDB, CIF, BCIF, and JSON formats - Availability Checking : Verify if predictions exist for specific proteins 🔍 Search & Discovery - Structure Search : Find proteins by name, gene, or organism - Organism Browsing : List all available structures for specific species - Coverage Statistics : Get comprehensive organism-level statistics 📊 Confidence & Quality Analysis - Per-residue Confidence : Detailed confidence scores for each amino acid - Region Analysis : Identify high/low confidence structural regions - Quality Validation : Assess overall prediction reliability ⚡ Batch Processing - Bulk Retrieval : Process multiple proteins simultaneously - Batch Downloads : Efficient multi-structure downloads - Parallel Analysis : Confidence analysis for protein sets 🔬 Comparative Analysis - Structu","default_branch":null,"files":null,"tree":[],"storefront":"/r/Augmented-Nature","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Augmented-Nature/AlphaFold-MCP-Server/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."}