Orisu

npx add-mcp 'https://api.orisu.ai/mcp'

MCP

Drive Orisu from Claude, ChatGPT, and other AI chat clients via the Model Context Protocol.

Orisu ships a Model Context Protocol server that lets you build, run, and manage agents directly from any MCP-compatible chat client. Add it once as a connector and your assistant can search your agents, build new workflows from a description, trigger runs, wait for results, and show the live canvas, all without leaving the chat.

What you can do once it's connected

"Build me a workflow that takes a brand image and writes three promotional captions." Your assistant designs the graph, validates it, saves it, and shows the canvas inline. "Run my podcast-summary agent on this episode." The connector handles inputs, blocks until terminal, and surfaces the asset URLs. The same studio-fidelity canvas you use in the Orisu studio renders directly in the chat with live per-node status, without switching tabs. Runs failed? The assistant reads the typed error code, follows the recovery playbook (retry, change model, adjust input), and re-runs.

Get started

Add the connector to Claude or ChatGPT in two minutes. What each tool does and when to call it. How the studio renders inside the chat, what's interactive, what isn't. OAuth for chat clients, API keys for scripts and server-to-server.

What MCP is, in one line

MCP is an open standard that lets an LLM call your server's tools and read your server's resources. The chat client (Claude, ChatGPT, etc.) is the "host"; Orisu's server is one of many possible "servers" the host can connect to. Once you add Orisu as a connector, the model sees Orisu's tools next to its built-in ones and can call them as part of a conversation.

The protocol itself: modelcontextprotocol.io.