Skip to main content
Glama
xiuxiansk

mcp-local-rag

by xiuxiansk
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to mcp-local-rag

No user-submitted related servers found.

    Related Servers

    • doc-index

      mike-anderson
      A
      license
      Not graded
      quality
      B
      maintenance
      A local-first semantic search server for documents, supporting PDFs, Office files, and text/markdown, enabling natural language search via the Model Context Protocol (MCP).
      1
      MIT

    • local-Rag

      zongzi-zongzhi
      A
      license
      A
      quality
      D
      maintenance
      A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.
      7
      MIT

    • KnowledgeMCP

      maxzrff
      A
      license
      Not graded
      quality
      C
      maintenance
      An MCP server that enables AI assistants to perform semantic searches over local document collections using multi-context organization and automatic OCR. It supports various file formats including PDF, DOCX, and images, ensuring all data processing remains local and private.
      8
      MIT

    • corpus-rag

      monahand1023
      A
      license
      Not graded
      quality
      A
      maintenance
      MCP server for local RAG over personal notes, PDFs, and documents, enabling plain-English querying and hybrid search with multi-hop context expansion.
      MIT

    • ragi

      SusuTawar
      A
      license
      A
      quality
      D
      maintenance
      Local-first RAG indexing and semantic search MCP server. Enables document retrieval and context-aware queries using local embedding models.
      3
      6 npm
      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

    A4.2/5.0

    Scored across 9 tools

    Disambiguation5/5

    Each tool has a clear, non-overlapping purpose: status, query, two ingestion methods differentiated by source type, delete, list, context reading, and sync start/status. Even the two ingest tools are unambiguous due to explicit input-type distinction.

    Naming Consistency4/5

    Most tools follow a verb_noun snake_case pattern (query_documents, ingest_file, delete_file, list_files, read_chunk_neighbors, sync_start, sync_status). The lone 'status' tool deviates slightly by being a bare noun rather than a verb action, but the overall naming is predictable and consistent.

    Tool Count5/5

    With 9 tools, the server is well-scoped for a local RAG system. Each tool serves a distinct and necessary function: ingestion (file and data), querying, context exploration, deletion, listing, status, and synchronization, with no unnecessary bloat.

    Completeness5/5

    The tool set covers the full lifecycle: ingestion (create), querying (read), deletion (delete), and updating via re-ingestion or synchronization. Additional utilities like status, list_files, and read_chunk_neighbors fill out the surface for effective RAG management, leaving no obvious gaps.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources