codegraph-mcp
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Alternatives to codegraph-mcp
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- AlicenseNot gradedqualityBmaintenanceProvides a semantic understanding of your codebase by parsing with tree-sitter and building a graph of symbols and dependencies. Enables AI assistants to navigate code, analyze changes, and discover architecture using 18 tools with minimal context overhead.11 npm1MIT
- FlicenseNot gradedqualityAmaintenanceProvides efficient code navigation and graph-based analysis for AI agents, enabling symbol resolution, callers, implementations, and type schemas with minimal token usage.-
- FlicenseNot gradedqualityDmaintenanceEnables Claude to intelligently analyze and query codebases using knowledge graphs, supporting natural language code search, relationship discovery, and incremental updates.11-
- AlicenseAqualityDmaintenanceEnables efficient code navigation and retrieval through natural language search, BM25 ranking, and fuzzy matching across multiple programming languages. It drastically reduces token usage by allowing Claude to query specific code symbols and logic instead of reading entire files.1370 npm13MIT
- AlicenseNot gradedqualityAmaintenanceIndexes a codebase into a symbol-level graph and exposes tools for finding symbols, querying relationships, and assessing impact, letting AI coding agents answer structural questions in a single call within a token budget.116 npm3Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables Claude Code to query codebase knowledge graphs directly, reducing token usage 5x–71x by reading a compact graph.json instead of raw files.3MIT
TDQS
Scored across 12 tools
Most tools target clearly different operations: find_symbol (definitions), find_references (all usages), semantic_search (by meaning), who_imports (module dependents), and analyze_impact (transitive callers) are well-differentiated by their descriptions. Minor overlap exists between find_references and who_imports (both touch imports) and between read_symbol and file_skeleton (both read code), but the granularity distinctions keep them separable.
All names use consistent snake_case, and most follow a verb_noun or action-oriented pattern (save_note, find_symbol, read_symbol, find_references, analyze_impact, recall_notes). A few deviate into noun phrases (repo_map, file_skeleton, usage_stats, semantic_search) and one is a bare verb (reindex), but the pattern remains readable and predictable.
12 tools is well-scoped for a code-navigation/graph server, with each tool covering a distinct facet (index, map, locate, read, outline, search, references, impact, stats, notes). No redundancy and no tool feels extraneous.
Coverage spans indexing (reindex), orientation (repo_map, file_skeleton), discovery (find_symbol, semantic_search, find_references, who_imports), impact analysis, and notes persistence (save_note/recall_notes). The main gap is a plain literal/regex text search tool, though the semantic_search keyword fallback partly compensates.