Build on Docana
Create and prepare the same employees from your code or preferred AI client. Use the REST API, MCP, and CLI with shared profiles, knowledge, and preparation history.
Create employees from your code
Use the same creation and preparation flow through REST, MCP, or CLI. Profiles, sources, test examples, and the saved preparation conversation stay with the employee.
Connect your AI client through MCP →Documentation
Follow the employee walkthrough from a role or brief through preparation, testing, publishing, and working chat. Explore deeper guides and API documentation when you need more control.
docs.docana.com →REST API
Create employee profiles, attach knowledge, prepare workflows, and inspect results through the versioned REST API. The OpenAPI specification describes the same operations used by the product.
MCP server
Connect Claude, ChatGPT, or another MCP client to create and prepare employees. Continue the saved preparation conversation in Docana with the same profile, knowledge, and workflows.
MCP setup guide →Built for AI agents
A machine-readable overview of Docana lives at /llms.txt, and every page on this site answers Accept: text/markdown with a markdown variant of the same URL.
llms.txt →Start with one workflow
Meet your next AI employee.
Bring a job your team wants help with. Explore the employee creation walkthrough and see how a brief becomes work you can test, review, and publish.
What we’ll explore together
- Define the role and connect your knowledge
- Prepare together and test real examples
- Publish, choose channels, and review the work