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Analyze and manage software architecture graphs for impact, dependencies, and design decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "GID MCP Server" yet — see the docs or source repo.
Using the current software architecture graph, analyze which upstream and downstream modules, interfaces, and key dependencies would be affected if the user authentication service changes, and group them by high, medium, and low risk.
A risk-grouped impact analysis listing related services, dependencies, and potential cascading effects.
Query all direct and indirect dependencies of the order service, generate a clear dependency path summary, and highlight possible circular dependencies or single points of failure.
A dependency report containing dependency paths, risk nodes, and issues that need priority attention.
Based on the current architecture graph, evaluate the feasibility of splitting the payment module into an independent microservice, including affected components, interface adjustment recommendations, and migration considerations.
An architecture review recommendation covering feasibility, scope of change, interface updates, and migration risks.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Give AI coding assistants memory, code graph insight, and safe multi-agent coordination.
Connect Ghidra with LLMs for automated binary analysis and decompilation.
Create and query semantic knowledge graphs for logic, code, and project structure.
Build a semantic graph from project files for search, knowledge, and task management.
Analyze project architecture and detect similar code patterns for cross-language consistency.