MCP Server for Session 13
Allows fetching marketing and business news articles related to HubSpot.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Server for Session 13get the latest news about ZoomInfo"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AI Makerspace: MCP Session Repo for Session 13
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.
Related MCP server: Tavily Web Search MCP Server
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.uvwinget 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.gitAfter that, you can follow from Step 2. below!
Installation
Clone the repository:
git clone <repository-url> cd <repository-directory>Configure environment variables: Create a
.envfile and add your API keys:TAVILY_API_KEY=your_tavily_api_key_here NEWS_API_KEY=your_news_api_key_hereGet your Tavily API key at: https://tavily.com/
Get your free NewsAPI key at: https://newsapi.org/register
🏗️ 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:
web_search(query: str)- Search the web for information about a given query using Tavily APIroll_dice(notation: str, num_rolls: int)- Roll dice with custom notation (e.g., "2d6", "1d20")get_marketing_news(company: str, category: str, num_articles: int)- Get latest marketing and business news from companies like ZoomInfo, 6sense, HubSpot, etc.get_company_news(company: str, num_articles: int)- Get specific news about a particular company
Example Usage:
get_marketing_news()- Get general marketing tech newsget_marketing_news(company="ZoomInfo")- Get ZoomInfo-specific newsget_company_news(company="6sense")- Get 6sense company newsroll_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.pyResources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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- FlicenseAqualityDmaintenanceEnables web search capabilities through the Tavily API and serves as a demonstration platform for building custom MCP tools. Designed for educational purposes to showcase MCP server development and LangGraph integration.6
- AlicenseNot gradedqualityAmaintenanceEnables fetching and extracting text from URLs, searching the web via DuckDuckGo and Yandex, and retrieving page links through MCP tools.1MIT
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