Why This Package?

@runapi.ai/kling-mcp is a focused Model Context Protocol server for the Kling model line on RunAPI. It gives MCP-compatible assistants direct access to 4 endpoints and 11 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Kling. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.

Install

Add it to Claude Code:

claude mcp add kling -s user -- npx -y @runapi.ai/kling-mcp

Use project scope when the server should be shared with a repository:

claude mcp add kling -s project -- npx -y @runapi.ai/kling-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

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

Create an API key at runapi.ai and expose it as RUNAPI_API_KEY. check_pricing can run without a key; task creation and status polling require one.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.

Tools

| Tool | Auth | Purpose | |---|---|---| | ai_avatar | Yes | Create a Kling ai avatar task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. | | image_to_video | Yes | Create a Kling image to video task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. | | motion_control | Yes | Create a Kling motion control task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. | | text_to_video | Yes | Create a Kling text to video task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot. | | get_task | Yes | Fetch the current status and latest payload for an existing task. | | check_pricing | No | Look up the current pricing snapshot for a Kling model and endpoint. |

Models

Kling covers 11 model variants across 4 endpoints. Each tool accepts the models listed for it:

| Tool | Models | |---|---| | ai_avatar | kling-ai-avatar-pro, kling-ai-avatar-standard, kling-ai-avatar-v1-pro, kling-v1-avatar-standard | | image_to_video | kling-v2.1-master-image-to-video, kling-v2.1-pro, kling-v2.1-standard, kling-v2.5-turbo-image-to-video-pro | | motion_control | kling-3.0 | | text_to_video | kling-3.0, kling-v2.1-master-text-to-video, kling-v2.5-turbo-text-to-video-pro |

Model availability can change between releases. Use check_pricing or the Kling model page for the current catalog view.

Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

Run a Kling ai avatar task with RunAPI.

The assistant can call check_pricing, then ai_avatar, and return the task id, status, and output URLs.

Submit without waiting

Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating

Check current Kling pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Kling model page for the canonical catalog entry.

Configuration

The server reads the API key in this order:

1. RUNAPI_API_KEY environment variable
2. ~/.config/runapi/config.json

Example config file:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys. Get one at runapi.ai.

Links

| Resource | URL | |---|---| | Kling model page | https://runapi.ai/models/kling | | npm package | @runapi.ai/kling-mcp | | GitHub repository | runapi-ai/kling-mcp | | RunAPI MCP overview | runapi.ai/mcp | | RunAPI docs | runapi.ai/docs |

License

Licensed under the Apache License, Version 2.0.