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mcp-alphafold

by zeinab-sheikhi
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Python
Hybrid

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    Related Servers

    • mcp-alphafold

      pipeworx-io
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides access to AlphaFold predicted protein 3D structures from EBI, enabling retrieval of prediction metadata, summaries, annotations, and UniProt data.
      148 npm
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    • mcp-uniprot

      pipeworx-io
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides access to UniProt protein sequence and function knowledge base, enabling search and retrieval of protein entries, proteomes, taxonomy, and feature annotations.
      6 npm
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    • UniProt MCP Server

      josefdc
      A
      license
      B
      quality
      D
      maintenance
      Provides seamless access to UniProtKB protein database, enabling queries for protein entries, sequences, Gene Ontology annotations, full-text search, and ID mapping across 200+ database types.
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    • AlphaFold MCP Server

      plemio
      F
      license
      Not graded
      quality
      C
      maintenance
      Provides access to the AlphaFold Protein Structure Database with tools for structure retrieval, confidence analysis, batch processing, and visualization.
      -
    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 3 tools

    Disambiguation2/5

    get_alphafold_prediction and get_uniprot_summary both retrieve AlphaFold model information for a UniProt accession, with overlapping purposes. The descriptions do not clearly distinguish when to use one over the other, causing potential misselection. get_annotations is the only clearly distinct tool.

    Naming Consistency5/5

    All tool names follow a consistent get_<noun> pattern using snake_case. This predictable naming convention makes the tool set easy to navigate.

    Tool Count5/5

    With only 3 tools, the server is well-scoped and focused on AlphaFold data retrieval. Each tool has a meaningful role, even though two overlap functionally.

    Completeness5/5

    The server covers the core operations for AlphaFold: listing models, fetching a summary, and retrieving annotations. There are no obvious gaps for the intended domain, as structure URLs are included in responses.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources