kling-mcp

Local

github.com/runapi-aiMedia & Design0Updated 1w ago

About kling-mcp

kling-mcp is a RunAPI MCP server for the Kling model line, for AI agents creating video-related tasks and checking pricing or task status. It provides endpoints dedicated to this model line.

Key features

01Create text-to-video tasks
02Create image-to-video tasks
03Edit and extend videos
04Create AI avatar tasks
05Run motion control tasks
06Check task status and pricing

Use cases

01Generate video from text
02Turn an image into video
03Edit or extend an existing video
04Create avatar or motion-control videos

MCP support

It exposes Kling video generation, editing, extension, avatar, motion control, task status, and pricing tools to MCP-compatible clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config

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

Run commandnpx -y @runapi.ai/kling-mcp

Environment variables to set

RUNAPI_API_KEYSecretOptional RunAPI API key for headless hosts. Interactive MCP hosts can use the login tool, which writes shared RunAPI config.

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages

npm@runapi.ai/kling-mcp0.4.1stdio

Tools

Saved tool list · updated 1w ago

Parameter	Type	Required	Description
force	boolean	No	Re-run browser login when the current credential comes from the local config file.

Details

From the project README

RunAPI Kling MCP Server

Kling API access for AI agents: run video generation operations, poll asynchronous results, and check pricing through one focused MCP server.

_{Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.}

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 6 endpoints and 16 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.

kling-ai-avatar-v1-pro was retired on 2026-10-14T00:00:00Z. New requests return HTTP 410 before task creation or balance deduction. Existing tasks can still be queried. This model ID is not mapped to another model.

kling-v1-avatar-standard was retired on 2026-10-14T00:00:00Z. New requests return HTTP 410 before task creation or balance deduction. Existing tasks can still be queried. This model ID is not mapped to another model.

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"]
    }
  }
}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

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, and output URLs.
`edit_video`	Yes	Create a Kling edit video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
`extend_video`	Yes	Create a Kling extend video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
`image_to_video`	Yes	Create a Kling image to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
`motion_control`	Yes	Create a Kling motion control task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
`text_to_video`	Yes	Create a Kling text to video task and optionally wait for a terminal status. Returns the task id, status, and output URLs.
`get_task`	Yes	Fetch the current status and latest payload for an existing task.
`check_pricing`	No	Look up current pricing for a Kling model and endpoint.

Models

Kling covers 16 model variants across 6 endpoints. Each tool accepts the models listed for it:

Tool	Models
`ai_avatar`	`kling-ai-avatar-pro`, `kling-ai-avatar-standard`
`edit_video`	`kling-v3-omni-edit`, `kling-v3-omni-reference`
`extend_video`	`kling-v2.5-turbo-image-to-video-pro`, `kling-v2.5-turbo-text-to-video-pro`
`image_to_video`	`kling-o1`, `kling-v2.1-master-image-to-video`, `kling-v2.1-pro`, `kling-v2.1-standard`, `kling-v2.5-turbo-image-to-video-pro`, `kling-v2.6`, `kling-v3-omni`, `kling-v3-turbo-image-to-video`
`motion_control`	`kling-3.0`, `kling-v2.6`
`text_to_video`	`kling-3.0`, `kling-o1`, `kling-v2.1-master-text-to-video`, `kling-v2.5-turbo-text-to-video-pro`, `kling-v2.6`, `kling-v3-omni`, `kling-v3-omni-reference`, `kling-v3-turbo-text-to-video`

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 resolves auth in this order:

RUNAPI_API_KEY environment variable, useful for headless and CI hosts
~/.config/runapi/config.json, created by the MCP login tool or runapi login
No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys.

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.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

Read the getting-started guide

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.

kling-mcp

About kling-mcp

Key features

Use cases

MCP support

Configuration

Tools

Details

RunAPI Kling MCP Server

Why This Package?

Install

Tools

Models

Agent Prompts

Create a task

Submit without waiting

Check pricing before creating

Configuration

Links

License

Comments

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What is MCP (Model Context Protocol)?

How do MCP servers differ from clients?

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