javats-impact-mcp

javats-impact-mcp

Read-only MCP server for cross-stack impact analysis across Java Spring Boot backend and TypeScript frontend linked through OpenAPI.

Category
Visit Server

README

javats-impact-mcp

Demo: cross-stack blast radius from a single symbol

Read-only MCP server for cross-stack impact analysis across a Java (Spring Boot) backend and a TypeScript frontend, linked through OpenAPI.

The one-question demo: "If I rename an enum value, what breaks?"

OrderStatus.PENDING is a Java enum value. It is stored in the DB (orders.status, @Enumerated(STRING)), exposed on OrderDto.status in the OpenAPI spec, returned by GET /api/orders, and consumed by the frontend two ways.

find_symbol { name: "OrderStatus", kind: "enum" }      -> symbol_id
analyze_impact { symbol_id }

Returns (abridged):

{
  "endpoints": [{ "path": "/api/orders", "method": "GET" }],
  "tsCallers": [
    { "kind": "client_call", "file": ".../OrdersPage.tsx", "confidence": "high" },
    { "kind": "fetch_call",  "file": ".../rawFetchOrders.ts", "confidence": "heuristic" }
  ],
  "jpa": { "table": "orders", "column": "status", "enumerated": "EnumType.STRING" },
  "migration_checklist": [ "...", "Review 1 heuristic TS site (raw fetch URL match — verify manually)." ]
}

How it works

  1. index_project builds a SQLite index with three indexers:
    • Java (tree-sitter): classes, enums, fields, methods, annotations, scoped references.
    • TypeScript (ts-morph): type-aware symbols, property accesses, fetch/axios call sites.
    • OpenAPI (swagger-parser): endpoints, schemas, and maps_to edges bridging Java DTO fields to schema fields.
  2. The 7 read-only tools query that index. analyze_impact walks Java → OpenAPI → TypeScript.

Tools (exactly 7, all read-only)

index_project, find_symbol, find_references, get_endpoint, analyze_impact, get_git_context, explain_symbol.

Configuration

javats-mcp.config.json (paths resolve relative to the file):

{ "backendPath": "...", "frontendPath": "...", "openApiSource": "./openapi.json",
  "generatedClientPath": "...", "indexPath": ".javats-mcp/index.db", "allowNetwork": false }

Register in Claude Desktop / Cursor

{
  "mcpServers": {
    "javats-impact": {
      "command": "node",
      "args": ["/absolute/path/to/dist/index.js"],
      "env": { "JAVATS_CONFIG": "/absolute/path/to/javats-mcp.config.json" }
    }
  }
}

Run npm run build first. For development, use command: "npx", args: ["tsx", "/abs/src/index.ts"].

Limitations / confidence model

  • high — resolved through the TypeScript type system (ts-morph) or a generated-client method reference. Renames provably affect these sites.
  • heuristic — matched by URL/path string against fetch/axios. Can miss dynamic URLs (template concatenation) and can over-match similar paths. Always verify these manually.
  • Java analysis is syntactic (tree-sitter), scoped by simple type name — it does not do full type resolution, so same-named types in different packages may conflate.
  • OpenAPI linking assumes springdoc-style schema names match Java DTO class names.
  • Read-only: no writes, no shell exec except git log/blame. Network off unless allowNetwork.

Requirements & no native builds

Requires Node 22+ (the index store uses the built-in node:sqlite). There are no native modules: Java parsing uses web-tree-sitter (WASM runtime) with prebuilt grammars from tree-sitter-wasms, and storage uses node:sqlite. npm install needs no C++ compiler on any platform. (node:sqlite is currently a stable-but-experimental Node API and prints a one-time notice on stderr at startup; it does not affect the MCP stdio protocol.)

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured