MCP Server for Generating Chart Image (FastMCP + FastAPI)

Name: MCP Server for Generating Chart Image (FastMCP + FastAPI)
Author: qnnpnet

@qnnpnet

代码仓库

关于 MCP Server for Generating Chart Image (FastMCP + FastAPI)

暂无概览

#chart-mcp #chart-generator #fastapi

基本信息

分类

开发工具

运行时

python

传输方式

stdio

发布者

qnnpnet

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "chart-mcp-server": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

工具

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概览

What is MCP Server for Generating Chart Image (FastMCP + FastAPI)?

This is an MCP server that generates chart images from Python plotting code. It converts Python code using matplotlib into a static PNG image and returns a URL to the saved file. It is built with FastMCP and FastAPI and intended for developers who need to programmatically generate charts from code snippets.

How to use MCP Server for Generating Chart Image (FastMCP + FastAPI)?

Clone the repository, install dependencies with uv sync, and run uv run main.py to start the server. The server listens on port 8107 by default. Send a POST request to /generate_chart with a JSON body containing the code field (Python code using matplotlib) to receive an image URL in the response.

Key features of MCP Server for Generating Chart Image (FastMCP + FastAPI)

Generates chart images from arbitrary matplotlib Python code
Returns a URL to the saved PNG image
Built on FastMCP and FastAPI for easy integration
Uses uv for dependency and environment management
Stores generated images in a static directory

Use cases of MCP Server for Generating Chart Image (FastMCP + FastAPI)

Embedding dynamic chart generation in AI assistant workflows
Converting text-based plotting instructions into shareable images
Automating chart creation from code snippets in applications
Serving as a tool inside MCP-based agents to produce visual outputs

FAQ from MCP Server for Generating Chart Image (FastMCP + FastAPI)

What are the runtime requirements?

Python 3.11 or higher is required. Dependencies include FastMCP, FastAPI, uvicorn, python-dotenv, requests, and matplotlib.

How do I start the server?

Clone the repository, run uv sync to install dependencies, then execute uv run main.py. The server will start on the default port.

How do I generate a chart?

Send a POST request to http://localhost:8107/generate_chart with a JSON body: {"code": "import matplotlib.pyplot as plt\nplt.plot([1,2,3],[4,5,6])\nplt.title(\"My Chart\")"}.

Where are the generated images stored?

Images are saved under static/images/ with a timestamped filename. The response includes a full URL to access the image.

What does the response look like?

The response is a JSON object: { "image_url": "http://localhost:8107/static/images/20250419160332_d8b758e9.png" }.

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