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sagar-shirwalkar

Collibra Atlas

by sagar-shirwalkar
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    • rag-retriever-mcp

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    • rag-mcp

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    • docctx

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      Local-first context retrieval engine that serves precise documentation chunks to coding agents via MCP, ensuring high-confidence context for code generation.
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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

    A4.2/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a distinct purpose: search_docs and search_code target different content types, get_chunk retrieves specific chunks by ID, and get_bundle_info provides metadata. No overlap or ambiguity.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern: search_docs, search_code, get_chunk, get_bundle_info. This makes the API predictable and easy to learn.

    Tool Count5/5

    Four tools is well-scoped for a documentation search and retrieval server. Each tool serves a clear function without unnecessary bloat or missing essentials.

    Completeness5/5

    The toolset covers the full workflow: searching across documentation, searching code examples, retrieving full chunks, and checking metadata for freshness. No critical gaps for the intended use case.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

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