UniProt MCP Server
Related Servers
Alternatives to UniProt MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides access to UniProt protein sequence and function knowledge base, enabling search and retrieval of protein entries, proteomes, taxonomy, and feature annotations.2 npmMIT
- AlicenseBqualityDmaintenanceProvides seamless access to UniProtKB protein data, enabling querying of protein entries, sequences, Gene Ontology annotations, and ID mappings through a typed, resilient interface.5MIT
- AlicenseNot gradedqualityAmaintenanceSearch UniProtKB by protein function, fetch curated records, map IDs across databases, and pull reference proteomes, taxonomy, and sequences via MCP. Supports both STDIO and Streamable HTTP transports.61 npm2Apache 2.0
- AlicenseBqualityDmaintenanceEnables AI assistants to access protein information directly from UniProt, allowing retrieval of protein names, functions, sequences, and organism data by accession number.214MIT
- FlicenseBqualityDmaintenanceProvides programmatic access to AlphaFold protein structure predictions and UniProt data, enabling users to retrieve protein structures, summaries, and annotations through natural language.3-
- FlicenseAqualityDmaintenanceProvides access to EMBL-EBI bioinformatics data including InterPro domains, Pfam families, protein features, and taxonomy through a unified tool.11-
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: fetch_entry retrieves structured data, fetch_entry_flatfile provides flatfile formats, get_sequence focuses on sequence metadata, map_ids handles identifier mapping, and search_uniprot performs searches. There is no overlap or ambiguity between these functions.
The naming is mostly consistent with a verb_noun pattern (e.g., fetch_entry, get_sequence, map_ids, search_uniprot), but fetch_entry_flatfile deviates slightly by including an extra descriptor. Overall, the pattern is readable and predictable.
With 5 tools, this server is well-scoped for the UniProt domain. Each tool serves a specific, essential function without redundancy, making the count appropriate for typical use cases like data retrieval, mapping, and searching.
The toolset covers core operations for UniProt access: fetching entries in different formats, getting sequences, mapping IDs, and searching. A minor gap might be the lack of update or delete tools, but these are likely unnecessary for a read-only biological database, so agents can work effectively with the provided tools.