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Build and query a codebase knowledge graph with relationships and rationale.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Codebase Knowledge Graph MCP Server" yet — see the docs or source repo.
Query the function call chain involved in the user login flow. List the main calls from the entry function to the authentication module and include the related file paths.
A mapped call chain for the login flow with related files and relationship notes.
Identify which core files and classes the payment module imports, and summarize its dependencies on external modules ranked by importance.
A list of imports, dependency items, and a ranked summary of module relationships.
Query the design decisions and change rationale related to the order service, and summarize why the current architecture was adopted.
A summary of key design notes, change motivations, and reasons for the current architecture.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Query code structure and cross-language relationships via MCP with auditable access logs.
Index a monorepo into a graph for fast code structure queries.
Turn codebases into structural graphs for efficient AI-assisted code exploration.
Gives AI coding agents repository intelligence, dependency analysis, and impact insights.
Index repositories into a persistent graph for fast code search and understanding.