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mcp-kling vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

mcp-kling
by 199-mcp
filesystem
by modelcontextprotocol
Stars★ 26★ 85,748
30d uses
Score4177
Official
Categories
MediaAI / LLM ToolsProductivity
File SystemDeveloper ToolsProductivity
LanguageJavaScriptTypeScript
Last commit11 mo agothis month

mcp-kling · Summary

MCP Kling is a comprehensive server providing full access to Kling AI's video generation tools via MCP protocol.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

mcp-kling · Use cases

  • Content creators can generate AI videos directly through Claude for social media and marketing
  • Film producers can pre-visualize scenes and create storyboards rapidly
  • E-commerce platforms can implement virtual try-on features for clothing

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

mcp-kling · Install

Installation for Claude Desktop

  1. Get your Kling API credentials from [Kling AI Developer Console](https://app.klingai.com/global/dev/api-key)
  2. Add to Claude Desktop config file:

**macOS**: ~/Library/Application Support/Claude/claude_desktop_config.json **Windows**: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "mcp-kling": {
      "command": "npx",
      "args": ["-y", "mcp-kling@latest"],
      "env": {
        "KLING_ACCESS_KEY": "YOUR_ACCESS_KEY_HERE",
        "KLING_SECRET_KEY": "YOUR_SECRET_KEY_HERE"
      }
    }
  }
}
  1. Restart Claude Desktop

For npm installation: npm install -g mcp-kling

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.