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Plugins

Plugins connect external tools and data sources to Collate AI agents via MCP servers. Each plugin imports the tools exposed by that server, which you can then attach to agents in AI Studio. When a plugin is connected, agents can pull in context from that external tool — for example, finding a Confluence page that describes a data model and linking it to the relevant tables in Collate, or checking whether a GitHub issue already covers a data quality failure you’re investigating. To manage your organization’s own knowledge — Articles, Documents, and Memories — instead of connecting an external tool, see Context Center.

Supported Plugins

Add a Plugin

Follow the steps below to add a new plugin in AI Studio.

Step 1: Navigate to the Plugins Tab

  1. In the left navigation menu, click More > AI Studio.
  2. Navigate to the Plugins tab, and click New Plugin. Add Plugin

Step 2: Fill in Plugin Details

Enter the following details:
  • Name (required): A unique name for this plugin.
  • Description (optional): A short description of what this plugin provides.
  • Plugin Type (required): Select a plugin type. You can use Custom to add any other plugin if your plugin is not listed in dropdown.
Plugin Details

Step 3: Fill in Connection Details

Connection fields vary by plugin type. Use the following settings to configure your plugin type:
  • Confluence
  • GitHub
  • Custom
Click Create to save the plugin. After the plugin is connected, Collate discovers the tools available on that MCP server, and agents begin referencing the plugin when it’s relevant.

Using Plugins

After a plugin is connected, agents automatically consider external context when formulating answers. You don’t need to explicitly invoke a plugin — agents determine when external context is relevant and fetch it as part of their reasoning. You can also ask explicitly in Collate AI Chat. For example:
  • “Find the Confluence page about our Q3 data model and link it to the relevant tables in Collate.”
  • “Is there a GitHub issue open for the data quality failures on the orders table?”

Permissions

Plugins are shared resources, visible to everyone in your organization after connecting. Access follows the standard permission model: Whoever has Edit access to a plugin can see and update its connection details, including rotating its token. After a plugin is connected, agents use it on behalf of any user asking a relevant question — it doesn’t check that individual user’s access in the external tool.