Skip to main content
Glama
norandom

RAGFlow Claude MCP Server

by norandom
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

Related Servers

Alternatives to RAGFlow Claude MCP Server

No user-submitted related servers found.

    Related Servers

    • R2R FastMCP Server

      evgenygurin
      F
      license
      A
      quality
      D
      maintenance
      Integrates R2R (Retrieval-Augmented Generation) with Claude Desktop, enabling semantic search across knowledge bases and RAG-based question answering with support for vector, graph, web, and document search.
      2
      -

    • Vectorize MCP Server

      dannwaneri
      A
      license
      A
      quality
      D
      maintenance
      Provides semantic search capabilities by connecting Claude Desktop to a Cloudflare Workers backend powered by Vectorize. It enables natural language querying of knowledge bases using vector similarity and edge-based embedding generation.
      2
      MIT

    • RAGFlow MCP Server

      Juxsta
      A
      license
      Not graded
      quality
      D
      maintenance
      Enables semantic retrieval and knowledge base management through the RAGFlow API, including dataset, document, chunk, chat, and graph operations.
      5
      MIT

    • RAGBrain MCP

      ragbrain
      A
      license
      A
      quality
      F
      maintenance
      Connects Claude Desktop to a RAGBrain knowledge base to enable semantic search, document retrieval, and namespace management. It allows users to browse collections, discover documents by topic, and access full text content through natural language.
      5
      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

    B3.4/5.0

    Scored across 8 tools

    Disambiguation4/5

    Most tools have distinct purposes, but ragflow_list_documents and ragflow_retrieval each have an alternative by-name variant, which could cause confusion if descriptions are not heeded. However, descriptions clarify the difference between ID-based and name-based operations, keeping overlap minimal.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern with snake_case and the 'ragflow_' prefix. Variations like '_by_name' are systematic and predictable, enhancing readability for agents.

    Tool Count5/5

    With 8 tools, the set is well-scoped for a knowledge base retrieval server. Each tool serves a clear function, and the count is neither too sparse nor overwhelming for the intended purpose.

    Completeness4/5

    The tool surface covers listing datasets, listing documents, retrieving chunks, and managing chat sessions. It lacks create/update/delete operations, but given the likely read-heavy focus of the server, these gaps are acceptable and do not impede the primary retrieval workflow.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources