The Constellation MCP server provides graph-backed code intelligence for AI coding assistants, enabling deep structural analysis of a codebase without transmitting source code (only metadata is sent, never raw source).

Core capabilities:

• Search & inspect symbols — Find definitions of functions, classes, and variables (searchSymbols, getSymbolDetails)

• Analyze dependencies — Discover what a file depends on (getDependencies) and what depends on it (getDependents)

• Trace symbol usage — Track all usages of a symbol across the codebase (traceSymbolUsage)

• Explore call graphs — Map how a symbol is invoked (getCallGraph)

• Impact analysis — Assess blast radius and breaking-change risk before modifying code (impactAnalysis)

• Detect circular dependencies — Find circular dependency chains (findCircularDependencies)

• Find orphaned/dead code — Identify unused exports or unreferenced code (findOrphanedCode)

• Architecture overview — Get a high-level structural view of a codebase (getArchitectureOverview)

• Compose complex queries — Execute arbitrary JavaScript with top-level await and run parallel API calls

• Browse the API — List available methods and TypeScript type definitions via api.listMethods() and api.help()

Additional features:

• Multi-language support: TypeScript, JavaScript, Python, and more (check via api.getCapabilities())

• Branch-aware indexing scoped to the current git branch

• Access control enforced via API keys

• Designed for structural questions (definitions, callers, impact) — use Grep/Read for text search instead

Integrates with Git to provide branch-aware code intelligence, ensuring that codebase metadata and analysis remain discrete and isolated between different development branches.

Provides GitHub Copilot with structured codebase metadata and relationship analysis, enabling deeper context for code intelligence and assistant-led development.