Eigent is designed to be extensible. Beyond the pre-configured agents, you can significantly expand your workforce’s capabilities by connecting to external tools via custom MCP Servers and creating specialized workers to use them. This guide will walk you through how to integrate a new tool and build a custom worker step-by-step.

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Configuring a Custom MCP Server

The Model Context Protocol (MCP) is the framework that allows Eigent to connect to external tools and services like GitHub, Notion, or any other API. By adding a custom MCP server, you are essentially teaching your workforce a new skill.
  • Step 1: Click the Settings gear icon → Select the MCP and Tools tab.
  • Step 2: Click the + Add MCP Server button to open the configuration dialog.
  • Step 3: Provide the Server Configuration
    • Paste the JSON configuration for the server. This JSON file acts as a manifest, telling Eigent what the tool is, what functions it has, and how to call them. You can typically find this configuration file in the documentation of the third-party tool you wish to integrate.
    • Add required credentials. Many tools require authentication. For example, to connect to GitHub, you will need to generate a Personal Access Token from your GitHub account settings and paste it into the appropriate field.
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Creating and Equipping a Custom Worker

Once you’ve configured a new MCP server, you need to create a worker that knows how to use it. A worker is your specialized agent, and you can equip it with any combination of tools.
  • Step 1: On the Canvas, click the + Add Worker button located in the bottom toolbar.
  • Step 2: Enter a clear Worker Name (e.g., “GitHub Specialist”) and provide an optional Description of its duties (e.g., “Manages pull requests and repository issues”).
  • Step 3: Equip your Worker with the new tool (most important!)
    • Click on the Agent Tool dropdown menu.
    • Select the custom MCP server you just configured (e.g., Github MCP). You can also add any other tools you want this worker to have.
    • Click Save.
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What’s next?

That’s it! You have successfully extended your AI workforce. You can now assign tasks that leverage your new integration.