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Alternatives to agent-kb

No user-submitted related servers found.

    Related Servers

    • F
      license
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      quality
      D
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      An in-memory knowledge graph MCP server that gives coding agents structural and semantic recall over codebases by indexing Python source, ADR documents, and project configuration, exposing 7 tools for search, traversal, context retrieval, and natural-language Q&A.
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    • A
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      quality
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      maintenance
      Provides LLM agents with a structured, queryable, local-first knowledge base with typed documents and full-text search via MCP.
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    • A
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      Provides coding agents with persistent, queryable repository memory over MCP, enabling code search, cited question answering, repo maps, decision logs, and cross-session notes through local-first tools.
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    • A
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      Local-first codebase intelligence engine providing AI coding agents with a typed MCP toolset for understanding and navigating code repositories.
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    • A
      license
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      quality
      A
      maintenance
      Enables AI coding agents to query a locally indexed structural code graph — source entities, callers/callees, Git relationships and recorded mistakes — so they retrieve focused, token-bounded context instead of reading entire files. It runs over local SQLite and can be served through a CLI, agent hooks, an MCP executable and an authenticated local dashboard.
      67 npm
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Exposes a local hybrid (vector + BM25) index of scattered notes, docs, PDFs, and chat logs to AI hosts like Claude Desktop, Cursor, and Cline, letting agents search and get cited answers. It publishes a set of tools, resources, and prompts so any MCP-compatible client can query that knowledge base with section-level citations.
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    TDQS

    A4.1/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct operation: search, fetch-by-id, list sources, and reindex. There is no meaningful overlap; kb_search and kb_get are clearly separated by query-based retrieval versus direct ID lookup.

    Naming Consistency5/5

    All tools use the consistent kb_ prefix followed by a clear verb or verb-noun phrase: search, get, list_sources, reindex. The naming pattern is uniform and predictable.

    Tool Count5/5

    Four tools is compact but well-scoped for a knowledge base server covering retrieval, inspection, source listing, and maintenance. Each tool earns its place without unnecessary redundancy.

    Completeness4/5

    Core knowledge base operations are covered: search, fetch chunk content, list sources, and reindex. Minor gaps exist such as no delete/clear collection or detailed status beyond source listing, but these are not critical for the apparent purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues