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mcp_server-client_EAG-S-4 - Local Setup MCP Server

@devdastl

代码仓库

基本信息

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其他

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stdio

作者

devdastl

关于 mcp_server-client_EAG-S-4 - Local Setup MCP Server

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#mathgpt#math-solver#math-assistant

mcp_server-client_EAG-S-4 - Local Setup MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "local_mcp_server-client_EAG-S-4": {
      "command": "uv",
      "args": [
        "venv"
      ]
    }
  }
}

mcp_server-client_EAG-S-4 - Local Setup MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🧠 mcp_server-client_EAG-S-4 - Local Setup?

This repository provides a minimal implementation to set up and interact with the MCP (Modular Computation Protocol) locally. It consists of a server that exposes 28 computational tools and a client that communicates with the server to invoke those tools. The project is managed using the uv Python package manager.

How to use 🧠 mcp_server-client_EAG-S-4 - Local Setup?

Clone the repository, install uv, create a virtual environment, install dependencies from pyproject.toml, then run mcp dev mcp_server.py to test the server or python mcp_client.py to run the client.

Key features of 🧠 mcp_server-client_EAG-S-4 - Local Setup

  • 28 tools including math, string/image, and Pinta automation
  • Uses uv for fast dependency management and reproducibility
  • Server exposes tools that a client can invoke remotely
  • Includes a ready-to-use client entry point
  • Pinta automation tools for drawing rectangles, circles, and text
  • Image thumbnail generation and ASCII conversion tools

Use cases of 🧠 mcp_server-client_EAG-S-4 - Local Setup

  • Perform mathematical calculations via a remote tool server
  • Automate Pinta image editing tasks programmatically
  • Generate thumbnails or convert characters to ASCII values
  • Explore modular computation protocol interactions locally

常见问题

1

What does this project do?

It is a minimal implementation of an MCP server and client, allowing a client to call 28 different tools hosted by the server.

2

What runtime or dependencies are required?

Python 3, `uv` package manager, and the dependencies listed in `pyproject.toml`. For Pinta tools, the Pinta application must be installed separately.

3

How do I run the client?

After setting up the environment, run `python mcp_client.py` from the project root. The server can be tested with `mcp dev mcp_server.py`.

4

Are there any limitations or known caveats?

Pinta automation tools require Pinta to be installed and running. Image tools like `create_thumbnail` need valid image file paths.

5

What license is this project under?

MIT License.

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