Any AI assistant that supports the Model Context Protocol (MCP) can connect to Clarifeye. The setup follows two steps: add the MCP server, then add the skill.Documentation Index
Fetch the complete documentation index at: https://docs.clarifeye.ai/llms.txt
Use this file to discover all available pages before exploring further.
Prerequisites
- A Clarifeye teammate with your MCP Server URL, Client ID, and Client Secret from the Deploy tab (see overview).
- An AI assistant that supports MCP with OAuth 2.0 authentication.
Step 1: Add the MCP server
In your AI assistant’s MCP settings, create a new server with the following details:| Field | Value |
|---|---|
| Server name | Clarifeye |
| Server URL | Your MCP Server URL (e.g. https://eu.app.clarifeye.ai/mcp) |
| Authentication | OAuth 2.0 |
| Client ID | Your Client ID from the Deploy tab |
| Client Secret | Your Client Secret from the Deploy tab |
| Authorization URL | https://eu.app.clarifeye.ai/o/authorize/ |
| Token URL | https://eu.app.clarifeye.ai/o/token/ |
Some platforms auto-discover the OAuth endpoints from the MCP server URL. If your platform supports this, you may only need to provide the Client ID and Client Secret.
Step 2: Add the skill
Download the skill file from the Deploy tab of your Clarifeye teammate. If your platform supports uploading a skill file, upload it directly. If your platform only supports a text prompt, open the file and paste its content into the platform’s instructions field.Step 3: Use Clarifeye
Type/clarifeye in a conversation to activate the skill. Your AI assistant will connect to your Clarifeye teammate and you can start querying your knowledge store, running tools, and invoking playbooks.