Skip to main content
Glama
RITIKA-SHARMAA

RAG-MCP

by RITIKA-SHARMAA
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python

Related Servers

Alternatives to RAG-MCP

No user-submitted related servers found.

    Related Servers

    • vault_search

      tardigraderesearch
      A
      license
      Not graded
      quality
      F
      maintenance
      Exposes a stdio MCP server that indexes a markdown vault (such as an Obsidian folder of notes) into SQLite FTS5 and answers BM25-ranked section-level queries, with filters for note type. It also exposes reindexing so notes edited on disk become searchable again, giving coding agents persistent, durable memory across sessions.
      MIT

    • ctf-rag-mcp

      OpenPrunus
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables BM25 lexical search over a user-provided corpus of CTF writeups or technical documents through an MCP tool, returning relevant results with optional category and solved filters. It can run locally over stdio or as a centralized HTTP service shared by multiple MCP clients.
      MIT

    • SeekLink

      simonsysun
      A
      license
      Not graded
      quality
      F
      maintenance
      Local-first Markdown vault retrieval for agents. Read-only MCP stdio server exposing search, get, status, and doctor over Obsidian-compatible Markdown with hybrid BM25/vector/wikilink/title retrieval and first-class CJK support.
      11
      MIT

    • doc-rag-mcp

      theniitettey
      A
      license
      Not graded
      quality
      B
      maintenance
      Turns any folder of PDFs, markdown, and text files into a local, queryable knowledge base exposed as an MCP server. Enables MCP-compatible agents to semantically search indexed documents, retrieve relevant passages with source and relevance scores, list or reindex documents, and inspect cache and token usage — instead of reading whole files into context.
      1
      MIT
    • XERJ by xerj-org

      XERJofficial

      xerj-org
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents and MCP clients to query locally indexed code, docs, logs, JSONL/CSV and PDFs using BM25 full-text, vector and hybrid search, returning cited passages with file:line references instead of whole-file reads. Also supports code search, batch queries and persistent agent memory namespaces.
      17,802
      Apache 2.0

    • vanguard-memory-node

      ezumba
      A
      license
      A
      quality
      A
      maintenance
      Local deterministic BM25 memory for AI agents — offline-first, no API key, SHA-256 content-addressed shards, stdio MCP transport. Same query always returns the same ranked result.
      11
      19 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

    A4.4/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: search returns ranked passages, get_chunk retrieves a specific chunk, get_document retrieves a full document, and list_documents provides an overview. There is no overlap or ambiguity between them.

    Naming Consistency5/5

    All tool names follow the same verb_noun pattern with lowercase and underscores: search_documents, get_chunk, get_document, list_documents. The convention is perfectly consistent.

    Tool Count5/5

    Four tools form a tight, well-scoped set for a RAG server. Each tool earns its place by covering the essential retrieval workflow without redundancy or bloat.

    Completeness5/5

    The tool surface covers the full retrieval lifecycle: discover what's indexed (list_documents), search the corpus (search_documents), read a specific passage (get_chunk), and read the full source (get_document). No obvious gaps exist for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources