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AI-Maker-Space

mcp-server

README.md
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## <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

## ⚠️NOTE FOR WINDOWS:⚠️

You'll need to install this on the *Windows* side of your OS. 

This will require getting two CLI tool for Powershell, which you can do as follows:

- `winget install astral-sh.uv`
- `winget install --id Git.Git -e --source winget`

After you have those CLI tools, please open Cursor *into Windows*.

Then, you can clone the repository using the following command in your Cursor terminal:

```bash
git clone https://github.com/AI-Maker-Space/MCP-Session-Code.git
```

After that, you can follow from Step 2. below!

## Installation

1. **Clone the repository**:
   ```bash
   git clone <repository-url>
   cd <repository-directory>
   ```

2. **Configure environment variables**:
Copy the `.env.sample` to `.env` and add your Tavily API key:
   ```
   TAVILY_API_KEY=your_api_key_here
   ```

3. 🏗️ **Add a new tool to your MCP Server** 🏗️

Create a new tool in the `server.py` file, that's it!

## Running the MCP Server

To start the MCP server, you will need to add the following to your MCP Profile in Cursor:

> NOTE: To get to your MCP config. you can use the Command Pallete (CMD/CTRL+SHIFT+P) and select "View: Open MCP Settings" and replace the contents with the JSON blob below.

```
{
    "mcpServers":  {
        "mcp-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.

TDQS

D1.8/5.0

Scored across 3 tools

Disambiguation2/5

web_search and roll_dice are clearly distinct, but YOUR_TOOL_NAME has an uninformative name and description, making its purpose ambiguous. This creates potential confusion and misselection.

Naming Consistency1/5

web_search and roll_dice follow a verb_noun pattern, but YOUR_TOOL_NAME does not, breaking consistency. The mixing of a proper pattern with a placeholder-like name makes naming chaotic.

Tool Count3/5

With only 3 tools, the count is within a reasonable range, but the presence of a placeholder-like tool suggests the set is not thoughtfully curated. The count itself is not excessive or too small, but the composition is questionable.

Completeness2/5

The tool set lacks a clear domain, combining web search and dice rolling with an unspecified tool. This makes it impossible to determine if the surface is complete, and obvious gaps exist for any coherent workflow.