Bring your OKRs into Claude, ChatGPT and Copilot
Easy OKR includes a built-in Model Context Protocol (MCP) server, so your favorite AI assistant can look up your organization's objectives, key results, and progress without you copying and pasting anything.
What is MCP?
MCP (Model Context Protocol) is an open standard that lets AI assistants like Claude and ChatGPT securely read data from other applications. Instead of manually explaining your goals to an AI assistant, you can connect Easy OKR once and ask questions directly.
What you can ask
Once connected, an AI assistant can use Easy OKR's MCP tools to:
- List your organization's objectives, filtered by status or level
- Look up a specific objective and its key results
- List KPIs and pull a KPI's recorded history over time
- List check-ins (progress updates) for a key result or objective
- List comments on an objective or key result
- Get a high-level summary of your organization's OKRs and active cycle
The connection is read-only: an AI assistant can look up your data, but it cannot create, edit, or delete anything in your workspace.
Connecting an AI assistant
- Open your Profile page inside Easy OKR.
- Generate a personal access token and copy it somewhere safe. It's shown only once.
- In your AI assistant's MCP settings, add a new remote MCP server pointing at your Easy OKR MCP endpoint, using the token as a bearer credential.
- Ask your assistant something like "What are our active objectives this quarter?"
Example configuration
A typical MCP client configuration looks like this:
{
"mcpServers": {
"easy-okr": {
"url": "https://easyokr.eu/api/mcp",
"headers": {
"Authorization": "Bearer YOUR_PERSONAL_ACCESS_TOKEN"
}
}
}
}
Privacy and scope
A personal access token is scoped to your own organization and respects the same visibility rules as the app: your individual (private) objectives are only visible to an assistant using your own token, never to other members of your organization.
Ready to try it?
Start for free, then connect your AI assistant from your organization settings page.