🧠 mcp_server-client_EAG-S-4 - Local Setup

@devdastl

About 🧠 mcp_server-client_EAG-S-4 - Local Setup

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from 🧠 mcp_server-client_EAG-S-4 - Local Setup

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.

Frequently asked questions

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.

Comments

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