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

# MCP Server

Let AI agents interact with your Erathos workspace.

## Overview

Erathos exposes a [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server, letting an AI agent (like Claude) act on your Erathos workspace directly from a conversation — checking on connections and jobs, diagnosing a failed run, finding which field or table holds a piece of data, or setting up a new connection, without switching over to the platform's own UI for every step.

* [**How to Connect**](/platform/mcp/how-to-connect.md) — add the Erathos MCP server to your AI client and authenticate.
* [**Available Tools**](/platform/mcp/available-tools.md) — the full reference for everything the server currently exposes.

## What you can do with it

* **Discover your workspace** — list your workspaces, connections, jobs, and runs; find which endpoint or table field holds a piece of data.
* **Diagnose issues** — pull the full detail on a failed run: its logs, execution timeline, and per-model metrics.
* **Set up connections** — create a new source connection or destination; the agent hands you a link back to the platform to finish entering credentials, since it never asks for them directly.

{% hint style="info" %}
The agent only ever acts within the workspaces your own Erathos account already has access to — every tool call is checked against your real permissions, live, on every request.
{% endhint %}