# MCP Server

> A Model Context Protocol (MCP) server for plugging Shift-Left Studio into AI agents like Claude and Cursor is in development. Not shipped yet — see what you can do today via the Public API.

Source: https://totalshiftleft.ai/help-center/product-documentation/mcp-server

## Status: in development, not yet available

A native **MCP server** for Shift-Left Studio is in development. It is **not shipped today** — there is no `backend/src/mcp/server.js` process to run, no tenant configuration to set, and no tier includes it yet. This article describes what is planned, not a feature you can set up right now.

If you're looking for a way to drive test generation from an AI agent today, use the [Public API](/help-center/product-documentation/public-api) instead — see below.

## What's planned

The goal is to let external AI agents drive Shift-Left Studio's test-generation pipeline through the **Model Context Protocol (MCP)**, so any MCP-capable client — Claude, Cursor, and others — could call tools to analyze an endpoint, generate and validate tests, and explain coverage, and read live coverage/gap/test/schema data as resources. The design intent is a **stdio**-based server, scoped per tenant, so specs and prompts stay inside your environment.

None of this is available today. We don't have a public ship date.

## Use the Public API today

Every action the planned MCP tools would perform is already available through the [Public API](/help-center/product-documentation/public-api): authenticate, trigger test generation, poll status, and fetch results. Any agent framework capable of making HTTP calls — including custom tool definitions in Claude, Cursor, or other agent runtimes — can be wired to it now, with more setup than a native MCP connection will eventually require, but it works today.

## Related articles

- [Generate endpoint test cases](/help-center/product-documentation/ai-generated-tests)
- [Coverage and fidelity](/help-center/product-documentation/coverage-and-fidelity)
- [Public API](/help-center/product-documentation/public-api)
- [AI Settings](/help-center/product-documentation/ai-settings)