Aie8 Mcp Session13— agent skill

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<h1 align="center" id="heading">AI Makerspace: MCP Session Repo for Session 13</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:

git clone https://AI-Maker-Space/AIE8-MCP-Session.git

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

Installation

1. Clone the repository:

   git clone <repository-url>
   cd <repository-directory>

1. Configure environment variables:

Create a .env file and add your API keys:

   TAVILY_API_KEY=your_tavily_api_key_here
   NEWS_API_KEY=your_news_api_key_here

• Get your Tavily API key at: https://tavily.com/
• Get your free NewsAPI key at: https://newsapi.org/register

1. 🏗️ 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 several tools for different functionalities:

Available Tools:

1. `web_search(query: str)` - Search the web for information about a given query using Tavily API
2. `roll_dice(notation: str, num_rolls: int)` - Roll dice with custom notation (e.g., "2d6", "1d20")
3. `get_marketing_news(company: str, category: str, num_articles: int)` - Get latest marketing and business news from companies like ZoomInfo, 6sense, HubSpot, etc.
4. `get_company_news(company: str, num_articles: int)` - Get specific news about a particular company

Example Usage:

• get_marketing_news() - Get general marketing tech news
• get_marketing_news(company="ZoomInfo") - Get ZoomInfo-specific news
• get_company_news(company="6sense") - Get 6sense company news
• roll_dice("2d6", 3) - Roll 2 six-sided dice 3 times

Activities:

There are a few activities for this assignment!

🏗️ Activity #1:

Choose an API that you enjoy using - and build an MCP server for it!

🏗️ Activity #2:

Build a simple LangGraph application that interacts with your MCP Server.

Files for Activity #2:

• langgraph_app.py - LangGraph application with MCP integration

To test Activity #2:

uv run langgraph_app.py