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Related Servers

Alternatives to content-knowledge-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides read-only knowledge search and guarded action proposal tools. Write-like actions require human approval and return traceable evidence with policy events.
      1
      MIT
    • A
      license
      B
      quality
      A
      maintenance
      Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.
      37
      58 PyPI
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables agents to search and reference trusted, out-of-band ingested source state, run claim-bound document reviews, validate evidence-status proposals against admissibility guards, and build evidence matrices. It keeps proposal, evidence, admissibility, and adjudication separate so agents can propose epistemic statuses without creating the source facts, page locators, provenance, or missingness records that support them.
      5
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI coding agents to query a team's institutional coding rules and lessons learned, resolving a project → framework → language → global scope hierarchy so only the entries relevant to the current task are returned instead of whole knowledge-base files. It also supports governed proposal approval, PR and feature audits, meeting-transcript extraction, optional semantic ranking, and access-controlled audit logging, while keeping Markdown files as the source of truth.
      28
      64 PyPI
      Apache 2.0

    TDQS

    A4/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct knowledge resource: editorial rules, visual templates, and past post examples. The descriptions clearly distinguish search, list, and get operations despite all supporting query. An agent can reliably choose the correct tool for each content creation step.

    Naming Consistency5/5

    All tool names follow the consistent snake_case verb_noun pattern: search_guidelines, list_visual_templates, get_post_examples. The verbs also accurately reflect the operation type, making the naming predictable and scannable.

    Tool Count5/5

    With only three tools, the server is tightly focused on content knowledge retrieval. Each tool covers a core knowledge domain for content creation—rules, templates, and examples—without redundant or unnecessary additions.

    Completeness4/5

    The set covers the main content-making inputs: brand/editorial guidelines, visual template catalog, and performance-calibrated post examples. Minor gaps exist such as fetching a specific rule by ID or retrieving more than three examples, but the tool set supports its purpose effectively.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues