> For the complete documentation index, see [llms.txt](https://docs.stackai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.stackai.com/interface-and-deployment/mcp-reference.md).

# MCP Reference

The StackAI MCP Server lets AI clients like Claude Desktop connect directly to your StackAI workflows as tools.

Set it up once, and any MCP-compatible AI assistant can discover and call your deployed agents without writing custom integration code.

### In this section

<table data-view="cards"><thead><tr><th>Topic</th><th data-card-target data-type="content-ref">Page</th></tr></thead><tbody><tr><td><strong>StackAI MCP Server</strong><br>Connect Claude, Cursor, and other MCP clients to your deployed StackAI workflows.</td><td><a href="/spaces/FSlso1Kjob5CLDrh0dVn/pages/x1OkB9xKnbJUtHMmNP32">/spaces/FSlso1Kjob5CLDrh0dVn/pages/x1OkB9xKnbJUtHMmNP32</a></td></tr></tbody></table>

### What you can do with MCP

* Expose StackAI workflows as callable tools inside Claude, Cursor, or other MCP clients.
* Let users invoke your agents by name from within their AI assistant of choice.
* Combine StackAI's workflow capabilities with the conversational interface of any MCP client.

### Get started

* Start with the [**StackAI MCP Server**](/interface-and-deployment/mcp-reference/stackai-mcp-server.md) guide to configure the server URL and authentication.
* Add the server to your MCP client configuration.
* Test by asking the AI client to call one of your StackAI workflows.


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