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VibeCTX

by BlackRaptorAI-Labs
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    Related Servers

    • docsGround

      youssefvdel
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to search, index, and manage documentation libraries with hybrid retrieval and live web fallback, all self-hosted and offline.
      1
      MIT

    • context

      rkostko-ops
      A
      license
      Not graded
      quality
      C
      maintenance
      Provides up-to-date documentation for AI agents by locally querying a community-driven registry of pre-built docs packages.
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    • python-docs-mcp

      KEEPEE
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI coding agents to retrieve live CPython standard-library documentation and PyPI package metadata as clean markdown, with cached, throttled, robots-aware requests and local module search.
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    • devdocs-mcp

      maxwhipw
      F
      license
      A
      quality
      C
      maintenance
      Enables AI agents to search, install, read, and navigate DevDocs documentation offline via MCP, with token-efficient search/read/toc tools and local caching.
      6
      6 npm
      -
    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 8 tools

    Disambiguation4/5

    Most tools have clearly distinct roles (search vs get_docs are explicitly differentiated by 'unknown library' vs 'known library', and resolve_library vs warm_project by single-name vs whole-project). Minor overlap exists between doctor and list_libraries, both of which report per-library cache/retrieval status, which could cause slight misselection.

    Naming Consistency4/5

    All names use consistent snake_case with a verb-oriented style (list_libraries, get_docs, resolve_library, warm_project, report_bug). A few are bare verbs (search, refresh, doctor), which is a minor deviation but still readable and predictable.

    Tool Count5/5

    Eight tools is well-scoped for a documentation retrieval server, covering listing, fetching, searching, refreshing, diagnosing, resolving, bulk-warming, and reporting. Each tool has a distinct purpose and earns its place.

    Completeness4/5

    The lifecycle is largely covered: discovery, retrieval, search, caching/warming, diagnostics, resolution, and bug reporting. Minor gaps exist, such as no explicit cache-clear/prune operation or arbitrary-URL fetch, but core workflows are fully supported.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources