CodeRAG
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Alternatives to CodeRAG
No user-submitted related servers found.
Related Servers
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- AlicenseNot gradedqualityAmaintenanceEnables AI coding agents to query a codebase as a knowledge graph, providing token-budgeted context, search, and impact analysis via MCP tools.MIT
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- FlicenseNot gradedqualityAmaintenanceEnables AI coding agents to query a semantic code graph over MCP, retrieving exact function source, definitions, callers/callees, impact analysis, and minimal test selection instead of whole files.12-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to locally search, query, and understand codebases with token-efficient context, dependency graphs, history, architecture diagrams, and metrics through MCP.14 npm3MIT
- AlicenseAqualityAmaintenanceMCP server for semantic code search with AST-aware chunking, hybrid vectors, and query syntax.121Apache 2.0
TDQS
Scored across 5 tools
Each tool targets a distinct phase of the RAG workflow: indexing, status, searching, context retrieval, and impact analysis. search_code and get_context both retrieve code, but get_context explicitly adds citations and call-graph expansion, so they are clearly separated.
All names use snake_case and follow a command-like style. However, status is a bare noun rather than verb_noun, and impact_radius is a noun phrase while others start with verbs (index, search, get). Minor deviations but overall predictable.
Five tools is well-scoped for a code RAG server: one tool to build the index, one for health/size, one for basic search, one for context-rich retrieval, and one for dependency impact. No unnecessary tools.
The core lifecycle is covered: index creation, search, context extraction, and impact analysis. Missing explicit delete/re-index or list available repositories, but these are minor gaps for a focused RAG use case.