kling-mcp

kling-mcp

Enables interaction with Kling AI models for video generation and avatar tasks via RunAPI, including task creation, status polling, and pricing checks.

Category
Visit Server

README

@runapi.ai/kling-mcp

RunAPI MCP server for the Kling model line. Create tasks, poll their status, and check pricing through a single RunAPI API key.

Tools

Each create tool returns the task id, status, output URLs, and a price snapshot, and (optionally) polls until the task reaches a terminal status.

  • ai_avatar — create a Kling avatar task. Models: kling-ai-avatar-pro, kling-ai-avatar-standard, kling-ai-avatar-v1-pro, kling-v1-avatar-standard.
  • image_to_video — create a Kling image-to-video task. Models: 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 — create a Kling motion-control task. Models: kling-3.0.
  • text_to_video — create a Kling text-to-video task. Models: kling-3.0, kling-v2.1-master-text-to-video, kling-v2.5-turbo-text-to-video-pro.
  • get_task — fetch the current status and latest payload for a task.
  • check_pricing — look up pricing for a model in this line.

Configuration

Set a RunAPI API key via the RUNAPI_API_KEY environment variable, or write it to ~/.config/runapi/config.json:

mkdir -p ~/.config/runapi
echo '{"api_key":"YOUR_KEY"}' > ~/.config/runapi/config.json

Get an API key at https://runapi.ai. Pricing is listed at https://runapi.ai/pricing.

Usage

Run the server over stdio:

npx -y @runapi.ai/kling-mcp

Add it to an MCP client (see examples/ for per-client configs):

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

License

Apache-2.0

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured