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

@devdastl

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devdastl

mcp_server-client_EAG-S-4 - Local Setup MCP Server について

概要はまだありません

#mathgpt #math-solver #math-assistant

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

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

mcp_server-client_EAG-S-4 - Local Setup MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

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.

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.

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`.

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.

What license is this project under?

MIT License.

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