MCP ExplorerExplorer

Mcp Test

@dehaiteston 10 months ago
1 MIT
FreeCommunity
AI Systems
MCP_test is a code generation server that creates runnable code from natural language requirements.

Overview

What is Mcp Test

MCP_test is a code generation server that allows users to create runnable code based on natural language requirements. It is part of the Model Context Protocol project and can be accessed via GitHub.

Use cases

Use cases for MCP_test include generating a FastAPI server, creating a personal portfolio website, and developing a web-based music player, among other projects that require quick and efficient code generation.

How to use

To use MCP_test, clone the repository from GitHub, choose a specific server from the ‘src’ directory, and run the code generation agent by writing a configuration file and executing the ‘codegen.py’ script. Users can then provide their requirements in natural language.

Key features

Key features of MCP_test include the ability to generate code based on user-defined requirements, support for various example servers, and integration with external tools requiring API keys for enhanced functionality.

Where to use

MCP_test can be used in software development, particularly for rapid prototyping, code generation, and automating the creation of web applications and services.

Content

1. Clone the Repo

git clone https://github.com/modelcontextprotocol/servers.git
cd servers

2. Choose a Server

You can run the example servers using either npx or Docker. Each server is located under src/<server_name>. For example:

  • filesystem – a code generation server that interacts with a local file system.

codegen.py is a code generation agent that reads your requirements and produces runnable code in a local directory.

Setup

  1. Write a configuration file named server.config. This file should specify the target directory path where the output files will be written by the agent.

  2. Launch the code generation agent:

python3 codegen.py
  1. Speak your requirement to the agent in natural language.

Example:

“Create a FastAPI server with a single GET endpoint that returns ‘Hello World’”

The generated code will be saved to the directory specified in your server.config.


🌐 External Tools

Some agents require API keys:

Add your API keys as environment variables or as instructed in each folder’s README.


🧠 Example Projects

These are projects created by the AI code generation agent:

  • nvidia/ – A tech-themed landing page
  • personal_website/ – A developer portfolio site
  • music_player/ – A basic web-based music player

Tools

No tools

Comments

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