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Related Servers

Alternatives to PI Doc MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      C
      maintenance
      A Model Context Protocol (MCP) server that gives AI assistants direct access to live AVEVA PI System documentation, eliminating hallucination on PI-specific topics.
      3
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      An MCP server that provides AI assistants with real-time access to Inductive Automation Ignition documentation, enabling accurate answers on Ignition-specific topics by searching live docs and fetching full pages.
      3
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      An MCP server that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.
      12 npm
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
      20 npm
      264
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      An MCP server that gives AI coding assistants access to up-to-date API documentation via RAG by crawling documentation sites, indexing them into a vector store, and enabling semantic queries.
      MIT

    TDQS

    A3.9/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: search returns a list of relevant pages, while get_page retrieves the full text of a specific page. There is no overlap or ambiguity.

    Naming Consistency5/5

    Both tools follow a consistent verb_noun pattern: 'search_pi_docs' and 'get_page'. The naming is predictable and clear.

    Tool Count4/5

    With only two tools, the set is minimal but appropriate for a documentation server focused on search and retrieval. It covers the core operations without being overbearing.

    Completeness4/5

    The set provides search and full-text retrieval, which are the primary operations for a documentation server. Missing features like browsing by category or listing all pages are minor gaps that do not critically hinder agents.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues