dependency-graph MCP servers & tools

Framework-aware code intelligence that indexes source code into a cross-language dependency graph. Understands framework semantics — routes, ORM relations, component rendering, DI trees — for navigation, impact analysis, call graphs, refactoring, security scanning, and cross-session memory.

Dependency graph + 15 MCP tools for AI coding assistants. Parses TypeScript, JavaScript, Python, Go, Rust, and C. Arc diagram visualization, health scoring, dead code detection, and temporal graph.

Codebase intelligence for AI coding agents. Indexes a repo into a dependency graph, git history, defect-risk code health, auto-generated docs, and architectural decisions, served as 9 task-shaped MCP tools across 15 languages. Runs 100% local; hosted option available.

Semantic code graph for AI-assisted code understanding via tree-sitter and MCP.

AI code impact analysis — dependency graphs, cascade detection, and build gates for AI agents

Index any TypeScript/React repo (including monorepos) into a queryable code graph. Reverse queries (who-renders, who-calls, find-references), blast-radius analysis, dependency cycles, dead-code orphans, and symbol signatures — exposed over stdio. Install: npx code-graph-indexer.

Probes your live API and classifies why each endpoint failed (root cause + evidence + calibrated confidence) over MCP, so your AI assistant debugs from evidence instead of guessing. Deterministic rules, no black box. Works with FastAPI, Express, Next.js, tRPC, and GraphQL. npm i -g qa-probe

MCP server that uses TypeScript AST to find which tests are affected by a code change

Model inventory and governance: trace deployed models and their dependencies as an append-only log

Dependency-graph MCP server. Tells Claude/Cursor what breaks if you change X. Provenance guards.

Code intelligence MCP server: impact analysis, dependency graphs, dead code detection.

Cross-service API dependency graph for microservice codebases. Give it a business term or endpoint name; get back a ranked chain of GraphQL operations, REST endpoints, Kafka topics, and frontend queries across all services. Offline, local SQLite + TF-IDF + optional embeddings.

Gives any AI assistant real architectural understanding of a codebase: tech-stack overview, internal dependency graph with cycle detection, risk hotspots, and module summaries. Local, zero-config, no API keys. uvx mcp-architect.

Deterministic repository change-impact analysis for engineers and coding agents.