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terminal_kb

by xuj1nfan
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    Related Servers

    • Keepygaga RAG

      TimWongUp
      A
      license
      A
      quality
      C
      maintenance
      Enables local-first hybrid knowledge retrieval from authorized Markdown and plain-text files, combining full-text and vector search with reranking and traceable source references via a single search tool.
      1
      MIT

    • search-docs

      otolab
      A
      license
      A
      quality
      A
      maintenance
      Enables AI agents to search local Markdown documents using natural language, with automatic indexing and section-level retrieval.
      10
      5 npm
      1
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    • shelfmark

      LucasSantana-Dev
      A
      license
      A
      quality
      A
      maintenance
      Enables coding agents to query local notes, decisions, docs, and code with hybrid retrieval (BM25 + embeddings + reranking) and get path:line citations. It provides tools like rag_query for full-corpus search and search_knowledge for project-scoped knowledge recall.
      2
      1
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    • localrag-mcp

      Huajijunbilibili
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables local document semantic search and retrieval for DeepSeek Harness agents, with source citations and fully local embedding without external APIs.
      MIT

    • RAG Database MCP Server

      Human-center
      F
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.
      -

    • repository-runtime

      AcydusX
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to search, read, and traverse a local knowledge base of Markdown files using full-text search and relationship graph, reducing token usage.
      MIT
    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

    B3.2/5.0

    Scored across 6 tools

    Disambiguation3/5

    get_passage, get_document, get_page_image, and index_status are clearly distinct, but search_library and find_evidence overlap heavily since both search the same evidence set for relevant passages. The descriptions add some differentiation, but an agent could still easily pick the wrong one for a general search.

    Naming Consistency4/5

    Most tools follow a clear verb_noun pattern: search_library, get_passage, get_document, get_page_image, find_evidence. The exception is index_status, which is a noun phrase instead of something like get_index_status, but this is only a minor consistency break.

    Tool Count5/5

    Six tools form a tight, well-scoped set for an evidence-retrieval knowledge base. Each tool maps to a specific step in the workflow of searching, retrieving, and verifying evidence, with no unnecessary bloat.

    Completeness4/5

    The core research workflow is covered: search, retrieve passages, inspect page images, check metadata, and monitor index status. Notable gaps are full-document text retrieval and index/database management, but agents can still complete the primary evidence-checking task with the provided tools.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources