Model Context Protocol

Omnibo MCP for any AI

Connect Omnibo to your workflow and generate images, video and audio directly from your prompts.

How to connect

  1. 1

    Open Claude settings

    Launch the app or open claude.ai and go to Customize → Connectors.

    Open Claude connectors
  2. 2

    Add the Omnibo connector

    Click Add custom connector, name it Omnibo and paste the URL:

    https://app.omnibo.ai/api/mcp
  3. 3

    Connect and sign in

    Click Add → Connect, sign in with your Omnibo account, then ask Claude: “Generate a cinematic image of a lighthouse at dusk and show it to me.”

  1. 1

    Open ChatGPT settings

    Go to Settings → Apps & Connectors. If you do not see Create, turn on Developer mode under Advanced settings first.

    Open ChatGPT connectors
  2. 2

    Create a connector

    Choose Create, name it Omnibo, paste the URL and pick OAuth as the authentication:

    https://app.omnibo.ai/api/mcp
  3. 3

    Connect and sign in

    Finish the sign-in with your Omnibo account, then ask ChatGPT: “Generate a cinematic image of a lighthouse at dusk and show it to me.”

  1. 1

    Open Cursor settings

    Go to Cursor Settings → Tools & MCP → New MCP Server, or edit ~/.cursor/mcp.json directly. The one-click link installs it for you.

    Add to Cursor
  2. 2

    Paste this config

    Cursor signs you in through your browser. For a pasted key instead, use the header variant with a key from Settings → MCP & API keys.

    https://app.omnibo.ai/api/mcp
    mcp.json
    {
      "mcpServers": {
        "omnibo": {
          "url": "https://app.omnibo.ai/api/mcp"
        }
      }
    }
    mcp.json with an API key
    {
      "mcpServers": {
        "omnibo": {
          "url": "https://app.omnibo.ai/api/mcp",
          "headers": {
            "Authorization": "Bearer omk_…"
          }
        }
      }
    }
  3. 3

    Sign in and ask

    Click Needs login next to the server (or restart Cursor), sign in, then ask the agent: “Generate a cinematic image of a lighthouse at dusk and show it to me.”

  1. 1

    Add the server from your terminal

    Claude Code is configured on the command line — the CLI tab has the one-liner. In short:

    Terminal
    claude mcp add --transport http omnibo https://app.omnibo.ai/api/mcp
  2. 2

    Check the URL it registered

    It should be exactly this:

    https://app.omnibo.ai/api/mcp
  3. 3

    Sign in and ask

    Run /mcp inside Claude Code (or claude mcp login omnibo) to sign in, then ask: “Generate a cinematic image of a lighthouse at dusk and show it to me.”

  1. 1

    Open the Control UI

    Go to Settings → MCP → Add server. OpenClaw also has a CLI — see the CLI tab.

  2. 2

    Add the Omnibo server

    Name it omnibo, choose the streamable-http transport and paste the URL:

    https://app.omnibo.ai/api/mcp
  3. 3

    Sign in and ask

    Pick OAuth as the auth, sign in with your Omnibo account, then ask: “Generate a cinematic image of a lighthouse at dusk and show it to me.”

  1. 1

    Add the server

    Hermes is configured from its CLI or its YAML config — the CLI tab has the one-liner. The YAML form is:

    config.yaml
    mcp_servers:
      omnibo:
        url: https://app.omnibo.ai/api/mcp
        auth: oauth
  2. 2

    Check the URL

    It should be exactly this:

    https://app.omnibo.ai/api/mcp
  3. 3

    Sign in and ask

    Run hermes mcp login omnibo, sign in with your Omnibo account, then ask: “Generate a cinematic image of a lighthouse at dusk and show it to me.”

One-line install for CLI agents

For Claude Code, Codex, OpenClaw or Hermes, run this in your project. Showing Claude Code:

Sign in with OAuth
claude mcp add --transport http omnibo https://app.omnibo.ai/api/mcp
Or paste an API key
claude mcp add --transport http omnibo https://app.omnibo.ai/api/mcp --header "Authorization: Bearer omk_…"

Then run /mcp inside Claude Code (or claude mcp login omnibo) to sign in.

One-line install for CLI agents

For Claude Code, Codex, OpenClaw or Hermes, run this in your project. Showing Codex:

Sign in with OAuth
codex mcp add omnibo --url https://app.omnibo.ai/api/mcp
Or use an API key from the environment
OMNIBO_API_KEY=omk_… codex mcp add omnibo --url https://app.omnibo.ai/api/mcp --bearer-token-env-var OMNIBO_API_KEY

Then run codex mcp login omnibo to sign in.

One-line install for CLI agents

For Claude Code, Codex, OpenClaw or Hermes, run this in your project. Showing Cursor:

Cursor has no CLI — this is its config file
# ~/.cursor/mcp.json
{
  "mcpServers": {
    "omnibo": {
      "url": "https://app.omnibo.ai/api/mcp"
    }
  }
}
Or with an API key
# ~/.cursor/mcp.json
{
  "mcpServers": {
    "omnibo": {
      "url": "https://app.omnibo.ai/api/mcp",
      "headers": {
        "Authorization": "Bearer omk_…"
      }
    }
  }
}

Then open Cursor Settings → Tools & MCP and click Needs login next to omnibo.

One-line install for CLI agents

For Claude Code, Codex, OpenClaw or Hermes, run this in your project. Showing Claude Code:

Sign in with OAuth
claude mcp add --transport http omnibo https://app.omnibo.ai/api/mcp
Or paste an API key
claude mcp add --transport http omnibo https://app.omnibo.ai/api/mcp --header "Authorization: Bearer omk_…"

Then run /mcp inside Claude Code (or claude mcp login omnibo) to sign in.

One-line install for CLI agents

For Claude Code, Codex, OpenClaw or Hermes, run this in your project. Showing OpenClaw:

Sign in with OAuth
openclaw mcp add omnibo --url https://app.omnibo.ai/api/mcp --transport streamable-http
Or paste an API key
openclaw mcp add omnibo --url https://app.omnibo.ai/api/mcp --transport streamable-http --header "Authorization: Bearer omk_…"

Then run openclaw mcp login omnibo to sign in.

One-line install for CLI agents

For Claude Code, Codex, OpenClaw or Hermes, run this in your project. Showing Hermes:

Sign in with OAuth
hermes mcp add omnibo --url https://app.omnibo.ai/api/mcp --auth oauth
Or paste an API key
hermes mcp add omnibo --url https://app.omnibo.ai/api/mcp --auth header --header "Authorization: Bearer omk_…"

Then run hermes mcp login omnibo to sign in.

Install as an Anthropic Skill

Download the skill bundle and drop it into your ~/.claude/skills/ directory. It teaches an agent when to reach for Omnibo, to read the model list before spending, to wait for a job and to hand you the file.

omnibo-skill.zipDownload
Then
unzip omnibo-skill.zip -d ~/.claude/skills/

Install as an Anthropic Skill

Download the skill bundle and drop it into your ~/.claude/skills/ directory. It teaches an agent when to reach for Omnibo, to read the model list before spending, to wait for a job and to hand you the file.

omnibo-skill.zipDownload
Then
unzip omnibo-skill.zip -d ~/.claude/skills/

Install as an Anthropic Skill

Download the skill bundle and drop it into your ~/.claude/skills/ directory. It teaches an agent when to reach for Omnibo, to read the model list before spending, to wait for a job and to hand you the file.

omnibo-skill.zipDownload
Then
unzip omnibo-skill.zip -d ~/.claude/skills/

Install as an Anthropic Skill

Download the skill bundle and drop it into your ~/.claude/skills/ directory. It teaches an agent when to reach for Omnibo, to read the model list before spending, to wait for a job and to hand you the file.

omnibo-skill.zipDownload
Then
unzip omnibo-skill.zip -d ~/.claude/skills/

Install as an Anthropic Skill

Download the skill bundle and drop it into your ~/.claude/skills/ directory. It teaches an agent when to reach for Omnibo, to read the model list before spending, to wait for a job and to hand you the file.

omnibo-skill.zipDownload
Then
unzip omnibo-skill.zip -d ~/.claude/skills/

Install as an Anthropic Skill

Download the skill bundle and drop it into your ~/.claude/skills/ directory. It teaches an agent when to reach for Omnibo, to read the model list before spending, to wait for a job and to hand you the file.

omnibo-skill.zipDownload
Then
unzip omnibo-skill.zip -d ~/.claude/skills/

The tools

Just describe it, Omnibo builds it

A look at the tools your agent can call, and what each one returns when you ask.

How does MCP work?

What MCP is

The Model Context Protocol is an open standard that lets an AI assistant call tools on a server you choose. Omnibo runs such a server: connect it once, and every Omnibo model becomes a tool your assistant can use in the middle of a conversation.

Sign in, or paste a key

Hosted assistants such as Claude and ChatGPT sign you in with your Omnibo account through OAuth — you approve what the connection may do on a consent screen, and you can revoke it any time. CLI agents and editors that prefer a pasted credential use an API key from Settings → MCP & API keys.

Credits come from your Omnibo account

There is no separate pricing. A generation started from Claude spends the same credits at the same per-model rate as one started in the Omnibo app, from the same balance, and shows up in the same library.

Results are links and images

Generation runs on Omnibo’s side. Your assistant gets a job id, waits for it, and then receives a link to the file — and, for images, the picture itself — which it shows you in the conversation.

Every creative model, inside your agent

The same catalogue the Omnibo app offers, read live: the agent lists it with one call and picks by cost and capability. 131 models from 13 providers today.

Chat
57

MiniMax M2.7 Highspeed · Claude Fable 5.1 · DeepSeek V4 Flash Vision (Experimental) · Gemini 3.7 Flash

All chat models →
Image
25

GPT Image 2.5 Flare · GPT Image 2.5 Sunburst · Grok Imagine 2.0 · Kling Image 3.0

All image models →
Video
20

MiniMax H3 Max · Gemini Omni Flash · FlashVSR · SeedVR2

All video models →
Audio
29

ACE-Step · CassetteAI Sound Effects · Eleven Flash v2.5 · Eleven Multilingual v2

All audio models →

Questions people ask about the Omnibo MCP

How does Omnibo connect to an AI assistant?

Through MCP, the Model Context Protocol. Omnibo runs a remote MCP server; you add its URL to your assistant, sign in with your Omnibo account, and the assistant can call Omnibo’s tools from inside a conversation.

Which assistants and agents are supported?

Any MCP client with remote-server support: ChatGPT, Claude, Cursor, Claude Code, Codex, OpenClaw and Hermes today, and anything that speaks the standard tomorrow. The MCP, CLI and Skill tabs above show the exact steps for each.

What models are available through the Omnibo MCP?

All 131 models in the Omnibo catalogue — chat, image, video and audio — with a new one appearing the day Omnibo adds it. The agent reads the live list with list_models, including each model’s credit rate.

What can I create from my assistant?

Images (generate and edit), video (generate, edit, extend, motion control, upscale), speech from text, transcripts from audio, and chat completions on any Omnibo model — plus uploads, so a reference image or a clip you already have can go in.

Do I need an API key?

No. Paste the URL and sign in — that is the whole setup for Claude, ChatGPT and the CLI agents. API keys exist for clients that prefer a pasted credential in a header, such as Cursor or a script, and you create them under Settings → MCP & API keys.

How does pricing work for the MCP?

It uses the same credit system as the Omnibo platform — there is no separate pricing. A generation from your assistant costs exactly what the same generation costs in the app, from the same balance.

How long does a generation take?

Images and speech usually finish within the call. Video takes minutes, so the tool returns a job at once and the assistant waits with wait_for_job until it is done — you can keep talking meanwhile.

Can I use my previous generations as input?

Yes. Every generation has a file id the assistant can pass to edit_image, extend_video or any tool that takes a reference, and upload_file puts your own files in the same place.

Can I use my own agent setup?

Yes. Any MCP client works, and the Skill tab has a bundle you can drop into your own agent’s skills folder so it knows how to use the tools well.

Your models, in your agent.

Create an account, open Settings → MCP & API keys, and paste one URL.