grafema-mcp
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- AlicenseNot gradedqualityDmaintenanceGenerates and queries a graph representation of a codebase to identify entities and their relationships, such as function calls and inheritance. It supports multiple languages including Python, JavaScript, and Rust to help users navigate and understand complex code structures.13 npm22MIT
- AlicenseAqualityDmaintenanceEnables creating and querying semantic knowledge graphs to model business logic, code relationships, and project structure across multiple projects.111MIT
- AlicenseNot gradedqualityCmaintenanceTransforms codebases into structural knowledge graphs for AI agents and developers, providing precise architectural awareness and dependency mapping.54MIT
- AlicenseNot gradedqualityBmaintenanceA high-performance, polyglot code-analysis graph for coding agents that enables cross-language and cross-process code relationship queries in sub-millisecond time.MIT
- AlicenseNot gradedqualityCmaintenanceA graph-powered code intelligence engine that indexes codebases into a structural knowledge graph to provide AI agents with deep context on function calls, types, and execution flows. It offers local, zero-dependency tools for hybrid search, impact analysis, and dead code detection across Python, JavaScript, and TypeScript projects.289 PyPI811MIT
TDQS
Scored across 52 tools
Many tools have overlapping purposes, such as multiple query/trace/explore tools (query_graph, query_graphql, trace_calls, trace_dataflow, get_neighbors, enox_explore, etc.). The descriptions try to differentiate, but the sheer number and functional overlap will confuse an agent about which tool to use.
Naming conventions are mixed: some tools use verb_noun (add_assertion, create_guarantee), some use noun-like prefixes (enox_query, enox_stats), and others are compound phrases (find_shared_behaviors, trace_dataflow). No consistent pattern, making it hard for an agent to predict tool names.
At 52 tools, the set is excessively large for a single server. Many tools could be merged (e.g., trace_* tools, find_* tools). This over-fragmentation increases cognitive load and reduces coherence.
The tool surface covers a broad domain (project analysis, code query, knowledge graph, guarantees), but there are gaps: no tools for updating the code graph (only knowledge graph), and the 'enox' knowledge graph integration feels separate. Some common operations like 'delete' are missing for code graph nodes.