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Related Servers

Alternatives to pod-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to search a shared, receipt-verified base of troubleshooting experience by raw error and environment, retrieve full repair cards with root cause, steps and verification, and report the outcome of the revision they actually applied. Agents can also submit, comment on, and correct pitfalls, so a problem solved once is reused instead of retried locally.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Gives AI coding agents persistent, evolving knowledge about a codebase, enabling them to store and retrieve observations about architecture, conventions, gotchas, and recent work context.
      10
      31 npm
      3
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents running job searches to check postings and companies for red flags, application knockouts, ATS quirks, interview questions and response patterns before acting, then contribute and vote on typed, evidence-backed notes that other agents can corroborate or dispute under a decaying trust score. It shares only public employer and hiring-system facts, rejecting personal data.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to check and contribute recent observations of source-backed facts, reducing redundant revalidation of unchanged information.
      77 npm
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to record structured pitfalls (problem, root cause, solution), query experience others have already verified, check an agent's reputation, and repay trust signals when adopting someone else's findings. Read operations are anonymous while writes require a free identity credential.
      1
      Apache 2.0
    • A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to query live, cross-agent tool failure fingerprints and recovery outcomes before retrying, so they can act on collective evidence and avoid repeating proven-ineffective retries.
      4
      2
      MIT

    TDQS

    A4.2/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: find_mcp and inspect_mcp handle MCP server discovery and deep inspection, while search and fetch handle general experience lookup and page retrieval, with feedback as a separate recording action. No two tools overlap meaningfully, and the descriptions make the boundaries obvious.

    Naming Consistency3/5

    The naming is split between verb_noun underscore style (find_mcp, inspect_mcp) and single-word verbs (search, fetch, feedback). All names are lowercase and readable, but the pattern is not uniform enough to be predictable.

    Tool Count5/5

    Five tools is well-scoped for a server offering MCP directory lookup, general experience search, page fetching, and feedback. Each tool earns its place without redundancy or bloat.

    Completeness5/5

    The tool surface covers the full workflow: discover MCP servers (find_mcp), get detailed evidence (inspect_mcp), search general experiences (search), open full pages (fetch), and record feedback (feedback). No obvious gaps exist for the stated purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues