Protein MCP Server
Related Servers
Alternatives to Protein MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables querying and retrieving experimental protein structures from the RCSB Protein Data Bank, including text search, full entry records, polymer entities, ligands, and assemblies.28 npmMIT
- FlicenseNot gradedqualityNot gradedmaintenanceEnables interaction with the RCSB Protein Data Bank to search, analyze, and visualize protein structures. It provides specialized tools for downloading coordinate files and performing structural modifications like residue mutations and metal atom replacements.-

io.github.rcsb/rcsb-mcpofficial
AlicenseAqualityBmaintenanceEnables discovery, inspection, and cross-referencing of Protein Data Bank structures through three RCSB APIs: search, data, and sequence coordinates.364MIT- FlicenseAqualityDmaintenanceProvides tools to query, retrieve, and download protein structure data from the RCSB Protein Data Bank via the MCP protocol.5-

PDBe MCP Serversofficial
AlicenseBqualityAmaintenanceProvides seamless access to the Protein Data Bank in Europe (PDBe) API and search capabilities, enabling AI clients to query protein structures, perform advanced searches, and retrieve structural biology data.3340Apache 2.0- AlicenseNot gradedqualityAmaintenanceA Model Context Protocol server providing programmatic access to 3D protein structural data from RCSB PDB, PDBe, and UniProt, enabling search, retrieval, comparison, and analysis of protein structures.188 npm6Apache 2.0
TDQS
Scored across 3 tools
The three tools have distinct primary purposes: downloading structure files, searching for structures, and retrieving comprehensive protein data. However, there is some overlap between find_protein_structures_tool and get_protein_data_tool, as both can retrieve basic information for a given PDB ID, which could cause minor confusion. The descriptions help clarify their different focuses—discovery vs. detailed data retrieval.
All tool names follow a consistent verb_noun pattern with underscores: download_structure_tool, find_protein_structures_tool, and get_protein_data_tool. This uniformity makes the set predictable and easy to understand, with no deviations in naming conventions.
With only three tools, the server feels somewhat thin for a protein data domain, as it lacks operations like updating, deleting, or analyzing structures beyond basic retrieval. While the tools cover core functions, the count is borderline low for comprehensive protein research workflows, potentially limiting agent capabilities.
The tools provide good coverage for downloading, searching, and retrieving protein data, but there are notable gaps. Missing operations include updating or annotating structures, performing advanced analyses (e.g., structural alignment or visualization), and managing user data or sessions. This incompleteness may require agents to work around limitations for more complex tasks.