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Create and query semantic knowledge graphs for logic, code, and project structure.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "LogicMap MCP Server" yet — see the docs or source repo.
Using the modules, classes, and dependency data from these repositories, build a semantic knowledge graph and answer: which shared components does the payment module depend on, and which services are called by both projects?
A structured knowledge graph summary with key dependencies and cross-project reuse points.
Model these business processes as a knowledge graph: order creation, inventory deduction, payment confirmation, and shipping notification. Then identify prerequisites, impact scope, and potential conflict nodes.
A graph of business flow relationships plus key prerequisites and conflict risk notes.
Based on the existing project knowledge graph, identify which modules, APIs, documents, and downstream services would be affected by changes to the user permission model. Rank them by impact level.
A prioritized impact list with the relationship path for each affected item.
Build a semantic graph from project files for search, knowledge, and task management.
Understand codebase meaning and structure through a semantic concept graph.
Build and query a codebase knowledge graph with relationships and rationale.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Analyze and manage software architecture graphs for impact, dependencies, and design decisions.