Kaitoi Studio MCP Server
OfficialEnables AI agents to use ElevenLabs' text-to-speech and voice synthesis capabilities as nodes in Kaitoi Studio graphs.
Integrates Freepik's image generation and editing APIs into Kaitoi workflows for creating and modifying visual assets.
Allows leveraging Google Gemini models within Kaitoi Studio for multimodal reasoning and content generation.
Provides integration with Ollama to run local language models as nodes in Kaitoi Studio workflows.
Enables use of OpenAI models (GPT, DALL·E, etc.) as nodes in Kaitoi Studio for text and image generation tasks.
Allows running Replicate-hosted models for image, video, and audio generation directly within Kaitoi Studio pipelines.
This server has a remotely hosted endpoint. Open its connector listing for connection details, authentication requirements, and setup instructions:
Kaitoi Studio MCP
Connect an MCP-compatible agent to Kaitoi Studio to discover nodes, work with projects and assets, inspect workflows, and run creative-production graphs. This repository contains connection documentation, examples and registry metadata for Kaitoi's hosted server; the backend runs as part of Kaitoi Studio.
Connect
Add the remote server using your client's MCP connection settings:
https://mcp.studio.kaitoi.ioThe transport is Streamable HTTP. Compatible clients discover OAuth and open
Kaitoi's browser sign-in and consent flow. Each user connects their own account.
Account permissions and the granted mcp:read / mcp:write scopes determine
available actions. Check current account eligibility at
kaitoi.io/studio.
A URL-only configuration for clients that support remote HTTP and OAuth:
{
"mcpServers": {
"kaitoi-studio": {
"url": "https://mcp.studio.kaitoi.io"
}
}
}For clients using manually supplied bearer tokens, generate the client-specific configuration in Studio's Settings → MCP. Keep that token private and out of source control. A manually pasted token is an alternative connection mode; it is not a replacement for OAuth in directory submission.
Connection examples:
Related MCP server: n8n MCP Server
Workflows
The current implementation includes tools for:
Discovering nodes and inspecting their inputs before running them.
Building and validating graphs and saving reusable projects.
Starting durable runs, polling their status and retrieving results.
Browsing existing projects, files and supported workflow templates.
Reading API contracts and guidance for building applications with Kaitoi.
Connecting to an explicitly selected, opted-in Studio session when supported.
The authenticated server's discovery responses are authoritative. Tool counts, profiles, optional integrations and UI features vary by deployment, account permissions and granted scopes; this README does not certify an exact live catalog or availability in every host.
Studio canvas and headless graphs
An unattached MCP connection uses a separate account-scoped server graph. Connecting the server does not automatically attach an agent to whichever Studio tab is open. Where Studio attachment is enabled and advertised, select and attach the intended opted-in tab explicitly. Lost attachment must be resolved explicitly rather than silently switching to another graph.
Execution and results
Provider-backed operations may consume existing Kaitoi credits and provider allowances. Use the advertised run/status/result contracts and stable idempotency keys to avoid duplicate execution when retrying. A pending result means poll the original run, rather than starting it again. Media rendering and optional Run Inspector UI depend on host and server support; structured results remain the baseline interface.
First requests
“List my Kaitoi projects.”
“Find nodes that join two pieces of text. Show their inputs without running anything.”
“Describe the workflow available to this connection without changing it.”
“Show the API contract for the workflow template I select.”
Support and policies
Public-directory submission and approval are separate from connecting the hosted server directly. Nothing in this README implies approval or endorsement by a particular MCP client or directory.
Registry metadata
server.json contains the source metadata for the io.kaitoi/studio MCP
Registry listing. mcp-registry-metadata.json provides descriptive information
and tool groups for maintainers. Updating these files on GitHub does not publish
a new Registry version or submit a ChatGPT plugin; those are separate release
steps. The live authenticated catalog remains authoritative.
License
Repository documentation and examples are provided under the MIT License. Access to the hosted server is governed by the Kaitoi Studio terms of service.
This server cannot be deployed
Maintenance
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