LogicMap MCP Server
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- FlicenseCqualityDmaintenanceCombines a knowledge graph with RAG (Retrieval-Augmented Generation) capabilities for semantic code indexing and search. Enables creating entity relationships, managing observations, and performing semantic searches across indexed codebases.13-
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- AlicenseNot gradedqualityBmaintenanceProvides 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

NervusDB MCP Serverofficial
FlicenseNot gradedqualityNot gradedmaintenanceEnables building and querying code knowledge graphs for project analysis, with tools for exploring code relationships, managing workflows, and automating development tasks. Integrates with Git and GitHub for branch management and pull request creation.42 npm6-- FlicenseAqualityBmaintenanceEnables AI assistants to deeply understand codebases via Knowledge Graphs, supporting fuzzy search, architecture layer queries, call chain tracing, impact analysis, and domain knowledge with multi-project support.182-
- AlicenseAqualityDmaintenanceEnables AI to analyze, query, and manage a graph-based representation of software architecture for impact analysis, dependency tracking, and design.205 npm1AGPL 3.0
TDQS
Scored across 11 tools
Each tool targets a distinct resource and action: project lifecycle tools (create, update, delete, list) are clearly separate from knowledge graph operations (add, update, remove, link, unlink, query, search). No two tools appear to overlap in purpose.
All tool names follow a consistent verbNoun camelCase pattern: createProject, updateProject, deleteProject, listProjects, addNode, updateNode, removeNode, linkNodes, unlinkNodes, queryNode, searchNodes. The pattern is uniform and predictable.
With 11 tools, the set is well-scoped for a server managing both projects and a knowledge graph. Each tool serves a distinct purpose and the count feels appropriate, not bloated or sparse.
The surface provides full CRUD coverage for projects (create, update, delete, list) and comprehensive graph operations for nodes (add, update, remove, link, unlink, query, search). The lifecycle is complete with no obvious dead ends or missing core functionality.