mcp-server-chart vs metashape-mcp

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

	mcp-server-chart by antvis	metashape-mcp by jenkinsm13
Stars	★ 4,068	★ 21
30d uses	10,239	—
Score	84	45
Official	—	—
Categories	AI / LLM ToolsDeveloper ToolsProductivity	Developer ToolsAI / LLM ToolsMedia
Language	TypeScript	Python
Last commit	this month	this month

mcp-server-chart · Summary

A TypeScript MCP server for generating 26+ visualization charts using AntV, supporting multiple chart types and deployment options.

metashape-mcp · Summary

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

mcp-server-chart · Use cases

Data analysts creating visual reports from datasets
AI assistants generating custom charts based on user requests
Web applications embedding visualization capabilities via HTTP API

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

mcp-server-chart · Install

Installation

Install globally:

npm install -g @antv/mcp-server-chart

For Desktop Apps (e.g., Claude Desktop, VSCode):

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "npx",
      "args": ["-y", "@antv/mcp-server-chart"]
    }
  }
}

For Windows:

{
  "mcpServers": {
    "mcp-server-chart": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@antv/mcp-server-chart"]
    }
  }
}

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"
      }
    }
  }
}

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