RAG MCP Server
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Alternatives to RAG MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides 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
- AlicenseAqualityDmaintenanceEnables creating and querying semantic knowledge graphs to model business logic, code relationships, and project structure across multiple projects.111MIT
- AlicenseNot gradedqualityDmaintenanceEnables 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.3MIT
- AlicenseNot gradedqualityDmaintenanceProvides semantic codebase understanding via a graph, enabling AI agents to search, explore, and plan changes with whole-repo context in a single tool call.33MIT
- FlicenseNot gradedqualityCmaintenanceTransforms 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-
- AlicenseNot gradedqualityCmaintenanceEnables 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 npmMIT
TDQS
Scored across 13 tools
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.
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.
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.
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.