servers/ development/ mcp-kling
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Mcp Kling

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MCP server for Kling AI video generation.

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Overview Installation

Overview

Mcp Kling is a Model Context Protocol (MCP) server: MCP server for Kling AI video generation. As an MCP server it plugs straight into AI assistants, exposing its functionality as tools the model can invoke on your behalf.

You can run Mcp Kling two ways: connect to the hosted endpoint at https://kling.mcp.acedata.cloud/mcp with no local install, or run it on your own machine via the Python package mcp-kling (via uvx). Configuration happens through environment variables — you'll need ACEDATACLOUD_API_TOKEN. The current release is v2026.8.28.0, published under the MIT license, with source at AceDataCloud/KlingMCP on GitHub.

You'll find Mcp Kling in the Development category here on mcp.site; it connects to Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed, and any other MCP client — see the install snippets below. If you maintain Mcp Kling for AceDataCloud, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

Hosted endpoint — Streamable HTTP · https://kling.mcp.acedata.cloud/mcp
PyPI package — mcp-kling · MCP over stdio
Credentials — Requires ACEDATACLOUD_API_TOKEN
Open source — MIT license · AceDataCloud/KlingMCP
Topics — ai-video, developer-tools, kling-ai, mcp-server, model-context-protocol

Installation

Settings → Connectors → Add custom connector
Name: Mcp Kling
URL:  https://kling.mcp.acedata.cloud/mcp

Requires ACEDATACLOUD_API_TOKEN

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