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Related Servers

Alternatives to PI Doc MCP

No user-submitted related servers found.

    Related Servers

    • A
      license
      A
      quality
      B
      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.
      19 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
      9 npm
      265
      MIT
    • A
      license
      Not graded
      quality
      C
      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

    ActivityStale
    ResponsivenessNo issues