Veo-4-API vs filesystem

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

	Veo-4-API by Anil-matcha	filesystem by modelcontextprotocol
Stars	★ 147	★ 85,748
30d uses	—	—
Score	48	77
Official	—	✓
Categories	MediaAI / LLM ToolsDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	1 mo ago	this month

Veo-4-API · Summary

Python wrapper for Veo 4 API with MCP server for AI-generated 4K videos with integrated audio and character consistency.

filesystem · Summary

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

Veo-4-API · Use cases

Content creators generating AI videos for social media with consistent characters
Developers integrating video generation capabilities into their applications
AI assistants creating custom video content in response to user requests

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

Veo-4-API · Install

Installation

Via Pip (Recommended)

pip install veo-4-api

Configuration

Create a .env file in the root directory and add your [MuAPI](https://muapi.ai) API key:

MUAPI_API_KEY=your_muapi_api_key_here

Running the MCP Server

Ensure MUAPI_API_KEY is set in your environment.
Run the server:

``bash python3 mcp_server.py ``

To test with the MCP Inspector:

``bash npx -y @modelcontextprotocol/inspector python3 mcp_server.py ``

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "veo-4": {
      "command": "python3",
      "args": ["/path/to/Veo-4-API/mcp_server.py"]
    }
  }
}

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.