MCP server that analyzes TypeScript/JavaScript codebases via AST parsing and dependency graph tracing to identify affected tests, detect dead code, circular dependencies, and trace import chains, enabling AI agents to run only relevant tests.
MCP server that builds a dependency graph of your codebase, giving AI agents structural understanding to analyze impact, find context, and make safe modifications across languages and infrastructure.
An MCP server that indexes codebases into a queryable knowledge graph, enabling agents to answer structural questions like callers, callees, dependencies, and impact analysis through tools like callers, callees, deps, search, and impact.
A local MCP server that gives AI coding agents symbol definitions, dependency graphs, and a live architecture vocabulary for TypeScript/JavaScript repos, with no network or embeddings.
An MCP server that indexes TypeScript/JavaScript codebases into precise call and import graphs using the TypeScript compiler API, allowing Claude or any MCP client to query definitions, callers, callees, and perform impact analysis.
MCP server that analyzes codebases to provide dependency graphs, impact analysis, and file insights across 15+ programming languages, enabling AI assistants to understand project structure and navigate code efficiently.
