Skip to main content
Running a Task inside Clarifeye is one way to use a store. The other is to bring your knowledge into the AI client your team already works in, so they can apply it without leaving their tools. That’s what the Clarifeye skill is for.

​
The Clarifeye skill

The Clarifeye skill is a small package your team installs in their AI client. It teaches the client how to work with Clarifeye: how to find your knowledge stores, read their knowledge, retrieve the right content, and raise signals when something is off. Once it’s installed, the client can draw on any knowledge store the user has access to. Under the hood, the skill connects through the Model Context Protocol (MCP), the standard that lets AI clients talk to external systems. You don’t have to think about MCP day to day; the skill handles it. Each knowledge store then behaves like a skill the client can call on, faithful to what was captured.

​
What the client can do

With the skill installed, an AI client can:
  • Discover the knowledge stores a user can access.
  • Inspect a store’s knowledge: its brief, playbooks, mental map, and the rest of its artifacts.
  • Retrieve the specific content needed to answer, with references back to the source.
  • Raise a signal automatically when an answer is wrong or something is missing, feeding the signals loop.
Because answers are grounded in your artifacts and sources, the client applies your logic and can show where each answer comes from, rather than relying on generic priors. See MCP tools for the full reference of what the skill exposes.

​
Supported clients

The skill works with major AI clients, including Claude, ChatGPT, and Copilot, as well as any custom client that supports MCP. Use whichever your team already works in.

Claude

Connect Clarifeye to Claude.ai using connectors and skills.

ChatGPT

Connect Clarifeye to ChatGPT using apps and skills.

Microsoft Copilot

Connect Clarifeye to Microsoft Copilot using MCP tools.
For any other MCP-capable client, see Other clients.

​
Getting connected

Install the Clarifeye skill in your client and sign in to Clarifeye, and your accessible knowledge stores become available. From there, ask the client to use a store the way you’d brief a colleague, and it follows your captured knowledge.
The examples in these guides use eu.app.clarifeye.ai as the server URL. If you are on the US environment or a dedicated deployment, use the URL shown in your own Deploy tab instead.
You’ll need at least one Clarifeye knowledge store configured and credentials for one of the supported auth flows. See MCP authentication for which to use when.