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AI-Riksarkivet

Riksarkivet MCP Server

by AI-Riksarkivet
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Python
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    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

    A4.4/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: 'search_transcribed' is for discovering documents via keyword searches, while 'browse_document' is for retrieving full transcriptions of specific pages. There is no overlap or ambiguity between them; each serves a different stage in the document exploration workflow.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun naming pattern ('search_transcribed' and 'browse_document'), using snake_case throughout. The verbs 'search' and 'browse' accurately reflect their distinct functions, and the pattern is uniform across the tool set.

    Tool Count2/5

    With only two tools, the server feels under-scoped for its domain of historical document exploration. While the tools cover search and viewing, there are likely missing operations such as filtering by metadata, listing document collections, or handling user sessions. A typical server in this domain would benefit from 5-10 tools for a more complete surface.

    Completeness3/5

    The server provides core search and browse functionality, but there are notable gaps. It lacks tools for document metadata retrieval, collection browsing, or advanced filtering beyond keyword search. Agents can work around this by using the existing tools iteratively, but the surface is incomplete for comprehensive historical research workflows.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

    Resources