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Alternatives to RAG MCP Server

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides semantic code search and code insights via a knowledge graph, enabling AI to understand, navigate, and modify complex projects with deep dependency and architecture analysis.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables semantic code search across multiple repositories using AST-aware chunking and relationship tracking. Supports local LLM embeddings, real-time indexing, and cross-codebase dependency analysis through vector and graph databases.
      3
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Transforms code repositories and development documentation into a queryable Neo4j knowledge graph, enabling AI assistants to perform intelligent code analysis, dependency mapping, impact assessment, and automated documentation generation across 15+ programming languages.
      7
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to query and analyze code across multiple repositories through a unified knowledge graph, with tools for symbol search, impact analysis, and graph algorithms.
      11 npm
      MIT

    TDQS

    C2.9/5.0

    Scored across 13 tools

    Disambiguation3/5

    Most tools have distinct purposes centered around knowledge graph operations, but there is some overlap between 'search_nodes' and 'search_code' that could cause confusion. Additionally, 'injection_rag' and 'update_project' both involve RAG indexing but differ in scope, which might lead to misselection if not carefully described.

    Naming Consistency2/5

    The naming is inconsistent with a mix of snake_case English verbs (e.g., 'add_observations', 'create_entities') and French terms (e.g., 'injection_rag', 'manage_projects'), and some tools use different verb styles like 'open_nodes' vs. 'read_graph'. This lack of a predictable pattern reduces clarity and usability.

    Tool Count4/5

    With 13 tools, the count is reasonable for a RAG and knowledge graph server, covering core operations like CRUD for entities, relations, and observations, as well as project management and search. It's slightly on the higher side but still well-scoped for the domain.

    Completeness4/5

    The tool set provides good coverage for knowledge graph management and RAG operations, including create, read, update, and delete functions for entities, relations, and observations. Minor gaps exist, such as no explicit tool for updating entities or relations, but agents can likely work around this using deletion and recreation.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues