mineru-tianshu vs filesystem

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

	mineru-tianshu by magicyuan876	filesystem by modelcontextprotocol
Stars	★ 634	★ 85,748
30d uses	—	—
Score	51	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	1 mo ago	this month

mineru-tianshu · Summary

Enterprise-grade AI preprocessing platform with MCP protocol for document, image, audio, and video processing.

filesystem · Summary

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

mineru-tianshu · Use cases

Document parsing and conversion to Markdown/JSON
Multi-modal data preprocessing for RAG applications
AI assistant integration via MCP protocol

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

mineru-tianshu · Install

Installation

Docker Deployment (Recommended)

# One-click setup
make setup

# Or use scripts
./scripts/docker-setup.sh    # Linux/Mac
scripts\docker-setup.bat     # Windows

Local Development

cd backend
bash install.sh
python start_all.py --enable-mcp  # Enable MCP

cd frontend
npm install
npm run dev

Claude Desktop Configuration

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "mineru-tianshu": {
      "url": "http://localhost:8002/sse",
      "transport": "sse"
    }
  }
}

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.