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@runapi.ai/happyhorse-mcp logo

@runapi.ai/happyhorse-mcp

runapi-ai/happyhorse-mcp
0 starsv0.1.0STDIORegistry activeApache-2.0Updated 2026-06-24Community
Deploy on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

claude mcp add happyhorse -- npx -y @runapi.ai/happyhorse-mcp

Summary

Enables creating and managing HappyHorse video generation tasks (edit, image-to-video, text-to-video) via RunAPI, with optional polling for completion and pricing lookup.

Connect from your MCP client

One-click install

Add this server to your editor with a single click. Fill in any required credentials afterward.

Install in CursorInstall in VS Code

Claude Code

Run this once and Claude Code registers the server for you:

claude mcp add happyhorse -- npx -y @runapi.ai/happyhorse-mcp

Claude Desktop

Add this to claude_desktop_config.json under Settings → Developer → Edit Config:

{
  "mcpServers": {
    "happyhorse": {
      "command": "npx",
      "args": [
        "-y",
        "@runapi.ai/happyhorse-mcp"
      ],
      "env": {
        "RUNAPI_API_KEY": "<RUNAPI_API_KEY>"
      }
    }
  }
}

Cursor

Add this to .cursor/mcp.json in your project (or ~/.cursor/mcp.json for all projects):

{
  "mcpServers": {
    "happyhorse": {
      "command": "npx",
      "args": [
        "-y",
        "@runapi.ai/happyhorse-mcp"
      ],
      "env": {
        "RUNAPI_API_KEY": "<RUNAPI_API_KEY>"
      }
    }
  }
}

Cline and other MCP clients

Most MCP clients accept the standard mcpServers JSON block:

{
  "mcpServers": {
    "happyhorse": {
      "command": "npx",
      "args": [
        "-y",
        "@runapi.ai/happyhorse-mcp"
      ],
      "env": {
        "RUNAPI_API_KEY": "<RUNAPI_API_KEY>"
      }
    }
  }
}

Codex CLI

Register the server with OpenAI's Codex CLI — run this once, or add the equivalent block to ~/.codex/config.toml:

codex mcp add happyhorse --env RUNAPI_API_KEY=<RUNAPI_API_KEY> -- npx -y @runapi.ai/happyhorse-mcp

# or add to ~/.codex/config.toml:
[mcp_servers.happyhorse]
command = "npx"
args = ["-y", "@runapi.ai/happyhorse-mcp"]
[mcp_servers.happyhorse.env]
RUNAPI_API_KEY = "<RUNAPI_API_KEY>"

OpenClaw

OpenClaw reads MCP servers from the mcp.servers section of ~/.openclaw/openclaw.json (managed via `openclaw mcp add` or the mcporter skill):

{
  "mcp": {
    "servers": {
      "happyhorse": {
        "command": "npx",
        "args": [
          "-y",
          "@runapi.ai/happyhorse-mcp"
        ],
        "env": {
          "RUNAPI_API_KEY": "<RUNAPI_API_KEY>"
        }
      }
    }
  }
}

Replace the <PLACEHOLDER> values with your own credentials — see the configuration table below.

Configuration

@runapi.ai/happyhorse-mcp reads the following environment variable:

VariableRequired
RUNAPI_API_KEYRequired

Overview

Enables creating and managing HappyHorse video generation tasks (edit, image-to-video, text-to-video) via RunAPI, with optional polling for completion and pricing lookup.

Getting started

Add @runapi.ai/happyhorse-mcp to your MCP-capable client — Claude Code, Cursor, Codex, and others — by following the setup at the source, which documents the exact command, configuration, and any required API keys.

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