Skip to main content
Glama

Kairogen MCP

Model Context Protocol server for Kairogen. Connect Claude, Cursor, ChatGPT (custom connectors), Hermes, OpenClaw, or any MCP-compatible agent and generate images and videos using Kairogen's full model catalog (Seedream, Flux, Nano Banana, GPT Image, Sora, Veo, Kling, Seedance, KairoClone, Topaz).

Authentication is OAuth 2.0. No API keys to copy or rotate.

Connect in 30 seconds

Claude.ai (Custom Connector)

  1. Settings → Connectors → Add custom connector

  2. URL: https://mcp.kairogen.ai/mcp

  3. Click Connect → sign in with Kairogen → approve

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "kairogen": {
      "url": "https://mcp.kairogen.ai/mcp"
    }
  }
}

Restart Cursor and click Connect when prompted.

ChatGPT (Custom Connector)

Settings → Connectors → New custom connector → paste https://mcp.kairogen.ai/mcp. Sign in when ChatGPT prompts.

Claude Code

claude mcp add --transport http kairogen https://mcp.kairogen.ai/mcp

The --transport http flag is required for remote OAuth-protected MCP servers. Without it, the CLI assumes stdio and tries to exec the URL as a local binary.

Hermes / OpenClaw / NemoClaw (chat-only agents)

Paste this prompt into the agent:

Connect the Kairogen MCP at https://mcp.kairogen.ai/mcp. It supports OAuth device flow,
discovery at https://mcp.kairogen.ai/.well-known/oauth-protected-resource. Run the device
flow and reply with: Authorize here: https://app.kairogen.ai/device?code=XXXX-XXXX. Then
poll the token endpoint until I authorize and confirm once it succeeds.

The agent will reply with a link. Open it, click Permitir acesso, you're connected.

Local stdio (Claude Desktop, headless dev, offline)

{
  "mcpServers": {
    "kairogen": {
      "command": "npx",
      "args": ["-y", "@kairogen/mcp"]
    }
  }
}

On first launch the CLI runs the OAuth device flow, opens your browser, and caches the tokens at ~/.kairogen/tokens.json with auto-refresh. No env vars required.

Tools

Tool

What it does

Scope

list_models

Discover all image/video models

(public)

get_credits

Check remaining credit balance

kairogen:read

estimate_cost

Preview the credit cost before generating

(public)

generate_image

Generate one or more images. Blocks until done (default 10 min).

kairogen:generate

generate_video

Generate a video (text-to-video or image-to-video). Blocks until done (default 15 min).

kairogen:generate

upscale_image

Upscale an image 2x or 4x with Topaz Photo AI

kairogen:generate

get_generation

Poll the status of a previous generation

kairogen:read

All generate_* tools support wait_for_completion: false to return the generation_id immediately and let you poll via get_generation. They emit MCP notifications/progress heartbeats every 5 seconds during the poll, so Claude Desktop / Cursor / etc. show a live progress indicator and the connection never times out mid-render.

Configuration

Environment variables (all optional, sensible defaults):

Var

Default

Purpose

KAIROGEN_API_BASE

https://api.kairogen.ai

Override for staging or self-hosted

KAIROGEN_ISSUER

https://api.kairogen.ai

OAuth issuer base URL

KAIROGEN_CLIENT_ID

kairogen-mcp

Pre-registered OAuth client id

KAIROGEN_API_KEY

(empty)

Override OAuth and use a static token (CI / headless)

KAIROGEN_CONFIG_DIR

~/.kairogen

Where to cache OAuth tokens

Local development

git clone https://github.com/kairogenai/kairogen-mcp.git
cd kairogen-mcp
npm install
npm run build

# stdio mode (with OAuth device flow on first run):
node dist/stdio.js

# remote HTTP mode (validates Bearer tokens against api.kairogen.ai/.well-known/jwks.json):
PORT=8080 node dist/http.js

Smoke test (no agent needed):

KAIROGEN_API_KEY=eyJ... node -e "
const init = JSON.stringify({jsonrpc:'2.0',id:1,method:'initialize',params:{protocolVersion:'2025-11-25',capabilities:{},clientInfo:{name:'smoke',version:'0'}}});
const initd = JSON.stringify({jsonrpc:'2.0',method:'notifications/initialized'});
const list = JSON.stringify({jsonrpc:'2.0',id:2,method:'tools/list'});
process.stdout.write(init+'\\n'+initd+'\\n'+list+'\\n');
" | node dist/stdio.js

Deploy (mcp.kairogen.ai)

fly launch --no-deploy --copy-config --name kairogen-mcp
fly secrets set \
  MCP_RESOURCE=https://mcp.kairogen.ai \
  OAUTH_ISSUER=https://api.kairogen.ai \
  OAUTH_AUDIENCE=kairogen-api \
  MCP_AUTH_SERVERS=https://api.kairogen.ai \
  KAIROGEN_API_BASE=https://api.kairogen.ai
fly deploy
fly certs add mcp.kairogen.ai

MCP_AUTH_SERVERS is required: it populates the authorization_servers field in /.well-known/oauth-protected-resource, which is how MCP clients discover where to run the OAuth flow. Comma-separated if you ever need multiple issuers.

Backend env vars the OAuth issuer needs

The auth server (kairogen-backend-development) needs these set in its own deploy environment:

Var

Required

Purpose

OAUTH_JWT_PRIVATE_KEY

yes (prod)

RSA PEM. Generate with openssl genpkey -algorithm RSA -pkeyopt rsa_keygen_bits:2048.

OAUTH_ISSUER

recommended

Default https://api.kairogen.ai. Must match what MCP server expects.

OAUTH_AUDIENCE

recommended

Default kairogen-api. Must match what MCP server expects.

OAUTH_WEBSITE_DOMAIN

yes

Origin of the frontend hosting /oauth/consent and /device. Default https://app.kairogen.ai. (or wherever your Nuxt dev server runs) or the consent endpoints will 403.

OAUTH_INTROSPECTION_SECRET

optional

32+ char random string. Empty value disables /oauth/introspect.

CORS_ORIGINS

yes (prod)

Comma-separated allowlist of origins. Empty in production now refuses all cross-origin requests. Set to https://app.kairogen.ai (plus any other UI origins) to allow the consent page.

DNS: point mcp.kairogen.ai (CNAME) to the Fly app hostname.

Architecture

  • Frontend (kairogen-frontend-development) hosts the consent screens at /oauth/consent, /device, and /settings/connections.

  • Backend (kairogen-backend-development) is the OAuth issuer. Mounts /.well-known/oauth-authorization-server, /.well-known/jwks.json, /oauth/authorize/approve, /oauth/token, /oauth/device_authorization, /oauth/device/approve, /oauth/connections.

  • MCP server (this repo) is a Resource Server. Validates Bearer JWTs issued by the backend against the published JWKS, then proxies tool calls to api.kairogen.ai with the user's token.

Roadmap

  • v0.1 stdio + sAccessToken paste (deprecated)

  • v0.2 OAuth device flow on stdio first run

  • v0.3 hosted Streamable HTTP at mcp.kairogen.ai

  • v0.4 Resources (kairogen://models, kairogen://prompt-guide/{model})

  • v0.5 Marketing Studio + Cinema Control flows as higher-level tools

License

MIT

F
license - not found
-
quality - not tested
C
maintenance

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kairogenai/kairogen-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server