ast-impact-mapper-mcp
Uses TypeScript AST to determine which tests are affected by code changes
🗺️ ast-impact-mapper-mcp
An MCP server that uses the TypeScript AST to determine exactly which tests are affected by a code change — so your AI agent stops running the entire suite and starts running only what matters.
🤔 The Problem
When you change src/utils/auth.ts, which tests should run? Most tools either run everything (slow) or guess by filename (wrong). Import graphs don't lie — if a test transitively imports the changed file, it needs to run.
This server builds a precise dependency graph from your TypeScript project and answers that question in milliseconds.
🛠️ Tools
| Tool | Arguments | What it returns |
|---|---|---|
get_affected_tests | project_root, changed_files[] or git_diff | Test files that transitively import any of the changed files |
get_dependency_graph | project_root, file_path | Direct imports and importers for a specific file |
explain_impact | project_root, changed_file, test_file | Step-by-step import chain from a test file to the changed source file |
get_coverage_gaps | project_root, source_dirs[]?, limit? | Source files not reachable from any test — completely untested code |
get_test_summary | project_root | Coverage rate, most-imported files, deepest import chains |
refresh_project | project_root | Clears the cached AST — use after git pull or branch switch |
🚀 Setup
1. Install
npm install -g ast-impact-mapper-mcp
Or build from source:
git clone https://github.com/vola-trebla/ast-impact-mapper-mcp.git
cd ast-impact-mapper-mcp
npm install && npm run build
2. Add the MCP server to your editor
Cursor / VS Code (.cursor/mcp.json or .vscode/mcp.json)
{
"mcpServers": {
"ast-impact-mapper": {
"command": "ast-impact-mapper-mcp"
}
}
}
Claude Code
claude mcp add ast-impact-mapper ast-impact-mapper-mcp
💬 Example usage
My project root is /my-project. I just changed these files from git diff:
src/utils/auth.ts
src/api/userService.ts
1. get_affected_tests — which tests do I need to run?
2. get_dependency_graph for src/utils/auth.ts — what else depends on it?
3. explain_impact — why does tests/login.spec.ts care about auth.ts?
4. get_coverage_gaps — which source files have zero test coverage?
5. get_test_summary — what's the overall health of our test suite?
📊 Example output
Given a project with this structure:
src/
fixtures/base-fixture.ts ← imports home-page + results-page
pages/google-home-page.ts
pages/google-results-page.ts
tests/
google-pom.spec.ts ← imports base-fixture
get_affected_tests — change google-home-page.ts, find affected tests:
{
"changed_files": ["/my-project/src/pages/google-home-page.ts"],
"affected_tests": ["/my-project/tests/google-pom.spec.ts"],
"total_affected": 1
}
explain_impact — why does the spec depend on google-home-page.ts?
{
"changed_file": "/my-project/src/pages/google-home-page.ts",
"test_file": "/my-project/tests/google-pom.spec.ts",
"found": true,
"import_chain": [
"/my-project/tests/google-pom.spec.ts",
"/my-project/src/fixtures/base-fixture.ts",
"/my-project/src/pages/google-home-page.ts"
]
}
get_test_summary — project-wide health:
{
"total_source_files": 4,
"total_test_files": 1,
"covered_source_files": 3,
"coverage_rate": 0.75,
"most_imported_files": [{ "file": "src/fixtures/base-fixture.ts", "imported_by_count": 1 }],
"deepest_import_chains": [{ "test": "tests/google-pom.spec.ts", "depth": 2 }]
}
🧠 How it works
The server uses ts-morph to load your TypeScript project (with full tsconfig support, including path aliases) and builds two graphs:
- Forward graph: file → files it imports
- Reverse graph: file → files that import it
get_affected_tests does a BFS through the reverse graph starting from the changed files, collecting every file that transitively depends on them, then filters to *.spec.ts / *.test.ts.
explain_impact does a BFS through the forward graph from the test file until it reaches the changed file, then reconstructs the shortest import path.
The project is cached in memory per project_root — the first call parses the AST, subsequent calls reuse it.
🔗 Works great with flakiness-knowledge-graph-mcp
- ast-impact-mapper-mcp answers "which tests are affected by this change?"
- flakiness-knowledge-graph-mcp answers "of those tests, which ones are historically unreliable?"
Together, an AI agent can give you a prioritized, minimal test run: the right tests, ranked by flakiness risk.
📋 Scripts
npm run build # compile TypeScript → dist/
npm run lint # ESLint
npm run format # Prettier --write
npm run format:check # Prettier check (used in CI)
📄 License
MIT
Verwandte Server
Alpha Vantage MCP Server
SponsorAccess financial market data: realtime & historical stock, ETF, options, forex, crypto, commodities, fundamentals, technical indicators, & more
Claude Prompts MCP Server
A universal MCP server that loads prompts from an external JSON configuration file.
Futarchy MCP
A server for interacting with the Futarchy protocol on the Solana blockchain.
MCP Server + Github OAuth
An MCP server with built-in GitHub OAuth support, designed for deployment on Cloudflare Workers.
PyMilvus Code Generate Helper
Retrieves relevant code snippets and documents to assist in generating PyMilvus code, requiring a running Milvus instance.
Chronos Protocol
A robust MCP server that eliminates temporal blindness in AI coding agents through intelligent time tracking, persistent memory, and complete session traceability.
Frappe MCP Server
An MCP server for the Frappe Framework, enabling AI assistants to interact with Frappe's REST API for document management and schema operations.
Claude Code Memory Server
A Neo4j-based MCP server providing persistent memory and contextual assistance for Claude Code.
Botrite by Lattiq
Stateful health monitoring, diagnostics, and web attestation for AI agents. 11 MCP tools. Free Founder's Beta
mcp-agent-kit
a complete and intuitive SDK for building MCP Servers, MCP Agents, and LLM integrations (OpenAI, Claude, Gemini) with minimal effort. It abstracts all the complexity of the MCP protocol, provides an intelligent agent with automatic model routing, and includes a universal client for external APIs all through a single, simple, and powerful interface. Perfect for chatbots, enterprise automation, internal system integrations, and rapid development of MCP-based ecosystems.
Django MCP Server
A Django extension to enable AI agents to interact with Django apps through the Model Context Protocol.