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by TakumiY235 • Data & Databases
An MCP server that lets AI assistants fetch UniProt protein information (function, sequence, organism) by accession number.
Retrieve detailed UniProt protein records (name, function, full sequence, length, organism) by accession number.
Batch-fetch and compare multiple UniProt entries (e.g., compare functions or sequence lengths across accessions).
Cached, rate-limited access to UniProt data to reduce API calls and improve response latency in conversation workflows.
This server exposes UniProt protein data (name, function description, full sequence, length, organism) via the Model Context Protocol, supporting single and batch queries. It includes a 24-hour TTL cache for performance, handles rate limiting and retries, and returns structured protein information useful for downstream agents. Built with the MCP Python SDK and httpx, it is suited for integrating protein lookups into conversational agents or pipelines.
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