AI Makerspace: MCP Event
A short demonstration of how you can build your own MCP Server!
AI-Maker-Space
README
<p align = "center" draggable=”false” ><img src="https://github.com/AI-Maker-Space/LLM-Dev-101/assets/37101144/d1343317-fa2f-41e1-8af1-1dbb18399719" width="200px" height="auto"/> </p>
<h1 align="center" id="heading">AI Makerspace: MCP Event</h1>
This project is a demonstration of the MCP (Model Context Protocol) server, which utilizes the Tavily API for web search capabilities. The server is designed to run in a standard input/output (stdio) transport mode.
Project Overview
The MCP server is set up to handle web search queries using the Tavily API. It is built with the following key components:
- TavilyClient: A client for interacting with the Tavily API to perform web searches.
Prerequisites
- Python 3.13 or higher
- A valid Tavily API key
Installation
-
Clone the repository:
git clone <repository-url> cd <repository-directory>
-
Configure environment variables: Copy the
.env.sample
to.env
and add your Tavily API key:TAVILY_API_KEY=your_api_key_here
Running the MCP Server
To start the MCP server, you will need to add the following to your MCP Profile in Cursor:
{
"mcpServers": {
"websearch-server": {
"command" : "uv",
"args" : ["--directory", "/PATH/TO/REPOSITORY", "run", "server.py"]
}
}
}
The server will start and listen for commands via standard input/output.
Usage
The server provides a web_search
tool that can be used to search the web for information about a given query. This is achieved by calling the web_search
function with the desired query string.
License
This project is licensed under the MIT License. See the LICENSE file for more details.
Contributing
Contributions are welcome! Please open an issue or submit a pull request for any changes.
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