Knowledge Graph MCP Server
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Alternatives to Knowledge Graph MCP Server
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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
- FlicenseNot gradedqualityAmaintenanceEnables developer agents to perform semantic codebase search, dependency and impact analysis, cross-file refactoring, and full-stack API tracing through a unified query DSL over a high-performance graph engine.-
- AlicenseNot gradedqualityCmaintenanceEnables code intelligence through semantic, structural, graph, and text search across indexed repositories, allowing AI agents to quickly locate the exact code they need.4 npm3MIT
- AlicenseNot gradedqualityAmaintenanceSupercharges AI coding agents with a pre-indexed semantic code graph, enabling instant symbol relationships, impact analysis, and context retrieval across 20+ languages.70,850 npm71,313MIT
- AlicenseNot gradedqualityDmaintenanceEnables semantic code search across multiple repositories using natural language queries. Provides intelligent code discovery, symbol lookups, and cross-repo dependency analysis for AI coding agents.MIT
- AlicenseAqualityBmaintenanceEnables unified code search and analysis over a monorepo, combining exact, semantic, and call graph queries with indexing, incremental updates, and impact analysis.12MIT
TDQS
Scored across 8 tools
Tools are mostly distinct, but get_structure, find_definitions, get_file_summary, and get_usage_context have overlapping information (e.g., both report classes/functions). Descriptions help differentiate, but an agent could be confused about which to use for a specific need.
All tools follow a consistent verb_noun pattern in snake_case (e.g., reindex_codebase, search_code, find_definitions). No mixing of styles or confusing verbs.
8 tools cover indexing, search, structural exploration, context retrieval, and validation—well-scoped for a code knowledge graph server. Each tool serves a distinct purpose without being too few or too many.
The surface covers core operations: indexing, search, definitions, references, file summary, and edit validation. Minor gaps exist (e.g., no explicit graph query tool), but the set is largely complete for code understanding tasks.