videocapture-mcp vs filesystem

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

	videocapture-mcp by 13rac1	filesystem by modelcontextprotocol
Stars	★ 17	★ 85,748
30d uses	—	—
Score	37	77
Official	—	✓
Categories	MediaDeveloper ToolsAI / LLM Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	14 mo ago	this month

videocapture-mcp · Summary

Python MCP server for accessing and controlling webcams via OpenCV to capture images and manipulate camera settings.

filesystem · Summary

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

videocapture-mcp · Use cases

AI assistants need to take photos or view the environment through a webcam
Automated image capture for documentation or analysis purposes
Camera control and property adjustment in AI applications

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

videocapture-mcp · Install

Installation

Prerequisites:

Python 3.10+
OpenCV (opencv-python)
[MCP Python SDK](https://modelcontextprotocol.io/docs/)
[UV](https://astral.sh/uv/) (optional)

git clone https://github.com/13rac1/videocapture-mcp.git
cd videocapture-mcp
pip install -e .

Run the MCP server:

mcp dev videocapture_mcp.py

Claude Desktop configuration (example):

{
  "mcpServers": {
    "VideoCapture": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "--with",
        "numpy",
        "--with",
        "opencv-python",
        "mcp",
        "run",
        "/ABSOLUTE_PATH/videocapture_mcp.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.