metashape-mcp vs filesystem

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

	metashape-mcp by jenkinsm13	filesystem by modelcontextprotocol
Stars	★ 21	★ 85,748
30d uses	—	—
Score	45	77
Official	—	✓
Categories	Developer ToolsAI / LLM ToolsMedia	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

metashape-mcp · Summary

MCP server providing 106 tools for Agisoft Metashape photogrammetry automation through natural language.

filesystem · Summary

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

metashape-mcp · Use cases

Automating drone survey processing: import photos, align cameras, build dense clouds, generate DEMs and orthomosaics
Close-range 3D reconstruction: object scanning, artifact digitization, heritage documentation
Terrain and surface modeling: ground classification, mesh generation, texture mapping
Batch processing of photogrammetry projects with GCP and marker workflows
Headless automated processing on remote servers or CI pipelines

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

metashape-mcp · Install

Installation

Prerequisites

Agisoft Metashape Professional 2.3+ (with Python 3.12 scripting)

Steps

Clone the repository:

git clone https://github.com/jenkinsm13/metashape-mcp.git

Start the MCP server inside Metashape:

- **Auto-start (recommended)**: Edit scripts/start_mcp_server.py to set the source path, copy to Metashape's scripts folder, and restart Metashape - **Manual**: Run Tools > Run Script and select scripts/start_mcp_server.py - **Console**: Open Python console and run from metashape_mcp.server import start_background; start_background() - **Headless**: Use scripts/start_mcp_headless.py for remote/CI environments

Install FastMCP in your Claude Code Python:

python -c "import sys; print(sys.executable)"
pip install "fastmcp>=2.0.0"

For Claude Code, configure the stdio proxy:

python proxy.py

Claude Desktop Configuration

{
  "mcpServers": {
    "metashape": {
      "command": "python",
      "args": ["path/to/proxy.py"],
      "env": {
        "METASHAPE_MCP_PORT": "8765"
      }
    }
  }
}

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.