ts-code-awareness

ts-code-awareness

A static-analysis knowledge base for TypeScript/NestJS codebases, served to AI agents over MCP for understanding code without hallucination and excessive token usage.

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ts-code-awareness

A static-analysis knowledge base for TypeScript / NestJS codebases, served to AI agents (like Claude Code) over MCP — so they can understand code without hallucinating and without spending many tokens.

It reads the source under a project root (it never boots the target app's runtime), builds a queryable map, and exposes framework-aware tools an LSP can't give you: DI graphs, route tables, the Nest guard/pipe/interceptor pipeline, the Prisma schema, and the entity↔code bridge — plus structural discovery, semantic search, and optional read-only live-data tools.

Why

TypeScript already ships a type checker and a language server, so "types, go-to-def, find-references" are table stakes. The differentiation here is the framework-aware, pre-digested views no LSP gives you, returned as compact, chainable projections instead of raw source. An agent asks "what actually runs when POST /users is hit, and where does it touch the DB?" and gets an answer built from the route pipeline, the call graph, and the ORM access map — not a pile of files to re-read.

Every answer is honest about its own completeness: reverse queries carry a coverage envelope, call edges are tagged exact | contract | unresolved, and DB access is tagged typed | heuristic. The engine never claims certainty it can't prove.

What it does

  • Structural map — symbols, signatures, decorators, and a resolved edge graph (imports, calls, extends/implements/overrides, references, instantiations) across a whole pnpm/npm/yarn + nx/turbo monorepo, with cross-package resolution and a two-tier build (cheap skeleton for everything, full call graph on demand).
  • NestJS adapter — the route table, DI/provider graph, module graph, and nest_pipeline_for (the effective guard → interceptor → pipe → filter chain for a handler, composed across all five registration levels in execution order). GraphQL resolvers and microservice/queue handlers when those packages are used.
  • Prisma adapterschema.prisma → models / relations / enums, the model↔code access bridge ("where is User written, with which fields"), and static migration/drift reports. The generated client is never read.
  • Semantic search — NL discovery (search, search_similar) over a local, on-machine embedding index. Nothing leaves the machine.
  • Live data (optional, opt-in) — read-only data_* tools against a configured DB connection, behind a SELECT-only guard that provably never mutates.

The full tool catalog is in docs/tools.md (~35 tools across five categories; framework/DB/live tools light up only on detection).

Architecture

A single shared, multi-tenant HTTP daemon — started by a Claude Code SessionStart hook — holds warm maps under an LRU and routes each session to its project by an X-Project-Root header. A per-session stdio MCP shim forwards tool calls to it. The daemon walks the program once with ts-morph; adapters (Nest, Prisma) read that one parsed program and contribute namespaced fragments, so nothing framework-specific runs unless its framework is detected.

Claude Code session
  │  spawns (stdio, cwd = project)
  ▼
mcp-server  ──  HTTP /rpc, header X-Project-Root: <cwd>  ──►  daemon (shared, long-lived)
(per-session shim)                                             │  ts-morph walk → SQLite map
                                                               ▼
                                                   core + nest/prisma adapters → tools

Layout

packages/
  core/           ts-morph walk → base map + tiers + fingerprint/incremental,
                  adapter registry, semantic index; SQLite store (node:sqlite)
  adapter-nest/   routes, DI/module graph, guard/pipe/interceptor/filter pipeline,
                  GraphQL + messaging
  adapter-prisma/ schema → models/relations, model↔code access bridge, migrations
  live-data/      optional read-only DB tools behind a SELECT-only guard
  daemon/         shared multi-tenant HTTP daemon + LRU + X-Project-Root routing
  mcp-server/     stdio MCP shim (per session; forwards to the daemon)
plugin/           Claude Code SessionStart hook + MCP wiring
fixtures/         golden nx/pnpm monorepo (Nest + Prisma) test bed
docs/tools.md     the MCP tool reference

Use it with Claude Code

The engine is wired as a Claude Code plugin via plugin/ — see plugin/README.md. In short: a SessionStart hook starts the shared daemon, .mcp.json registers the stdio shim as the ts-code-awareness MCP server, and Claude Code asks you to approve it on first use. Opening this repo in Claude Code (and approving ts-code-awareness) gives you the tools over this repo's own TypeScript.

Develop

pnpm install

# typecheck the whole workspace
pnpm typecheck

# the test suites (run against the golden fixture)
pnpm test:tiers      # structural map + incremental build
pnpm test:nest       # routes / DI / pipeline
pnpm test:prisma     # schema + model↔code bridge
pnpm test:semantic   # semantic search
pnpm test:live       # live-data guard + drivers (spins up throwaway DBs)

# run the daemon, then curl it
pnpm --filter @codehead-pl/tsca-daemon start
curl -s localhost:47600/health

# drive the MCP shim the way Claude Code does
pnpm exec tsx packages/mcp-server/test/client.ts "$PWD/fixtures/nest-monorepo"

# compile to dist/
pnpm build

Requirements: Node ≥ 22.5 (uses built-in node:sqlite — no native modules). Dev runs TypeScript directly via tsx; pnpm build compiles with tsup.

Roadmap

Where it's headed — more framework and database adapters, cross-cutting bridges, and a community adapter SDK — is in ROADMAP.md.

License

MIT © Michał Tomczuk

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