# MCP

> MCP - Integrate tools using MCP servers and connect agentic coding environments to MCP.

This Markdown file sits beside the HTML page at the same path (with a `.md` suffix). It summarizes the topic and lists links for tools and LLM context.

Companion generated at `2026-04-24T16:03:56.229749+00:00` (UTC).

## Primary page

- [MCP](https://docs.datarobot.com/en/docs/agentic-ai/agentic-mcp/index.html): Full documentation for this topic (HTML).

## Related documentation

- [Agentic AI](https://docs.datarobot.com/en/docs/agentic-ai/index.html): Linked from this page.
- [Integrate tools using an MCP server](https://docs.datarobot.com/en/docs/agentic-ai/agentic-mcp/agentic-tools-mcp.html): Linked from this page.
- [Connect agentic coding environments to MCP servers](https://docs.datarobot.com/en/docs/agentic-ai/agentic-mcp/agentic-mcp-clients.html): Linked from this page.

## Documentation content

# MCP

> [!NOTE] Premium
> DataRobot's Agentic AI capabilities are a premium feature; contact your DataRobot representative for enablement information. Try this functionality for yourself in a limited capacity in the DataRobot trial experience.

The Model Context Protocol (MCP) provides a standardized interface for AI agents to interact with external systems, tools, and data sources. Use MCP to centralize tool management, integrate tools into agentic workflows, and connect IDEs and chat clients to your DataRobot MCP server.

| Topic | Description |
| --- | --- |
| Integrate tools using an MCP server | Integrate tools into your agentic workflows using an MCP server for centralized tool management and a standardized interface. |
| Connect agentic coding environments to MCP servers | Configure Cursor, Claude Desktop, and VS Code to use your DataRobot MCP server for tools and resources. |