The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the Studio listing page.
AI changed creation. Kaitoi changes production.
Kaitoi Studio is a hybrid intelligence platform for creative work — a visual canvas where you design workflows that adapt to your vision, then scale them into real production pipelines.
This MCP server exposes Kaitoi Studio's workflow engine to your AI agent. Build a color-grade pipeline from Claude. Have Cursor wire a Fal video model into an existing graph. Ask your agent to scaffold a custom node, validate it, and drop it onto your canvas. Your agent and you share one workspace — the same canvas you work in visually.
Kaitoi Studio is currently in Private Beta. Join the waitlist →
Connect your AI agent (Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, or any MCP client) to Kaitoi Studio and drive your creative pipelines from a conversation.
run_node — Execute a single node and wait for its outputrun_graph — Execute the full graph or a target subset of nodesvalidate_graph — Surface errors and missing connections before you runadd_node — Drop any node from the library onto your canvasconnect_nodes / disconnect_nodes — Wire outputs to inputsupdate_node — Change inputs, parameters, promptsdelete_node / clear_graph — Prune or resetsearch_nodes — Semantic + lexical search across builtin, user, and community nodeslist_packages / get_package / list_package_files / read_package_file — Browse node packagesget_graph_state — Full structure: nodes, connections, parametersget_node_info — Details of a single nodeget_node_output — Fetch outputs from a node that already ranget_app_health — System statuslist_projects / load_project / save_project — Persist and recall workflowsbrowse_library — Search your uploaded files by folder, keyword, or data typeupload_file — Ingest a file from a URL into your Libraryread_file / write_file / update_file — Edit custom node scripts and other project filesget_node_code — Read the source of any node on your canvasvalidate_node_script — Syntax and schema check against Kaitoi's node specsearch_user_scripts — Find your custom nodesget_fal_docs — Fetch documentation for any fal.ai endpoint (OpenAPI, markdown, and client snippets)web_search — Web search that returns URLs, titles, and snippetscrawl_url — Clean markdown extraction with optional screenshot and link graphPlus: 10 knowledge resources (node development, runtime API, data types, graph operations, troubleshooting, platform capabilities) and 3 expert prompts (build_computational_workflow, create_custom_node, debug_workflow_issues) your agent can invoke on demand.
Kaitoi Studio gives your agent something more useful than a single model endpoint: a graph of nodes it can search, compose, and run. Instead of picking one provider and one output type at a time, your agent can work inside a reusable workflow system that already knows how to generate, transform, and combine different kinds of media.
Any provider or model can become part of the workflow. Kaitoi graphs can mix nodes backed by Fal.ai, OpenAI, Anthropic, Google Gemini, OpenRouter, Stability AI, Replicate, Runway, Tripo3D, ElevenLabs, Freepik, Ollama, ComfyUI, and more. Through MCP, your agent can search for the right nodes, wire them together, tune parameters, validate the graph, and run the whole pipeline from one place.
Workflows are reusable, not one-off prompts. Your agent can load existing Kaitoi projects, build on top of established graph patterns, edit custom nodes, and save the result back into the same workspace you use visually. That makes it useful for repeatable creative systems, not just single generations.
The output surface is broad. Kaitoi workflows can create and process images, video, audio, 3D assets, documents and PDFs, web apps, embeddings, plots, and other structured outputs. The MCP server gives your agent access to that whole environment instead of a narrow "generate image" or "generate video" API.
1. Get a Kaitoi Studio account. Join the waitlist if you're not in the beta yet.
2. Generate your connection command. In Kaitoi Studio, open Settings → MCP. Pick your client (Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, ...). The app generates the exact command or config block for your platform, with a freshly minted API token.
3. Paste it into your client.
Claude Code:
Cursor / VS Code / any MCP client with native remote HTTP support:
Claude Desktop (via the mcp-remote bridge, until native remote HTTP lands in your install):
4. Verify. Ask your agent: "Use Kaitoi Studio to list my projects."
Additional config snippets live in examples/.
"Grade this render."
"Load my
Trailer_v3project in Kaitoi Studio, add a ColorGrade node after the VideoRender, lift the shadows to 1.05 and pull gamma to 0.92, run the graph, and give me the output path."
Your agent loads the project, adds and wires the node, runs the graph, and returns the ProRes file path — in one turn.
"Find me the right Fal model and wire it in."
"I need a fast image-to-video model on Fal with lip-sync. Search Fal docs, pick one, add it to my current graph with inputs from the
CastingShotnode, and run a test render."
The agent calls get_fal_docs, search_nodes, add_node, connect_nodes, and run_node in sequence.
"Scaffold a custom node for me."
"Write a node that takes a batch of images and applies a LUT from my Library. Validate it against the node spec, then drop it into my pipeline after the ImageBatch node."
The agent writes the script, calls validate_node_script, saves it, and adds it to the canvas.
| Item | Value |
|---|---|
| Transport | Streamable HTTP |
| Endpoint | https://mcp.studio.kaitoi.io |
| Auth | Bearer token (generated in-app) |
| Token lifetime | 365 days by default, revocable anytime |
| Scope | Per-user — each token only sees the workspace of the user who minted it |
Tokens are minted and revoked in Kaitoi Studio under Settings → MCP. Mint a separate token per client (Claude Code, Cursor, ...) so you can revoke any of them without affecting the others.
mcp-remote bridge)No local install, no runtime, no self-hosting. The server is hosted by Kaitoi Labs.
Kaitoi Labs, Inc. is a San Francisco–based team building hybrid intelligence tools for creative production. Our background spans AI, filmmaking, VFX, and product design. We believe the most powerful tools don't replace intuition — they amplify it.
The contents of this repository are released under the MIT License. Access to the Kaitoi Studio MCP server itself is governed by the Kaitoi Studio terms of service.