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🧠 MCP Server Project - Multi-Agent AI Tools

This project demonstrates how to build and serve multiple AI tools using the FastMCP framework. It includes a combination of COM-based email automation, external API integration (OpenWeather), local file-based notes, and utility functions—all accessible via an MCP-compatible agent interface.


🔧 Requirements

  • Python 3.10+

  • Windows (required for Outlook COM)

  • .env file with:

    OPENWEATHER_API_KEY=your_openweather_key_here

Related MCP server: pyfastmail-mcp

📁 Directory Structure

. ├── outlook_assistant.py # Outlook email read/reply/compose/search tools ├── weather_mcp.py # Current, forecast, historical, and air quality weather tools ├── sticky_notes.py # Notes tools backed by a text file ├── addition_server.py # Simple addition and greeting tool ├── notes.txt # File to store sticky notes └── README.md # This file


📬 Outlook Email Assistant

A COM-based email assistant that integrates with Microsoft Outlook to:

  • List all folders in Outlook

  • Fetch and display recent or matching emails

  • Read full email contents

  • Send replies or compose new emails

🔧 Tools Exposed:

  • list_folders()

  • list_recent_emails(days, folder_name)

  • search_emails(search_term, days, folder_name)

  • get_email_by_number(email_number)

  • reply_to_email_by_number(email_number, reply_text)

  • compose_email(recipient_email, subject, body, cc_email)

⚠️ Must be run on Windows with Microsoft Outlook installed.


🌍 Weather Tools (OpenWeather API)

Provides weather details using OpenWeatherMap API including:

  • Current weather

  • 5-day forecast

  • Air quality

  • Weather alerts

  • Historical weather (past 5 days)

🌦 Tools Exposed:

  • get_current_weather(location)

  • get_weather_forecast(location, days)

  • get_air_quality(location)

  • get_historical_weather(location, date)

  • get_weather_alerts(location)

  • search_location(query)

🌐 Requires setting OPENWEATHER_API_KEY in .env


📝 AI Sticky Notes

Simple note-taking assistant that stores notes locally in a notes.txt file.

🛠 Tools and Resources:

  • add_note(message)

  • read_notes()

  • get_latest_note() – as resource notes://latest

  • note_summary_prompt() – generates a summarization prompt from all notes


➕ Addition Utility

Example of a simple arithmetic and dynamic greeting tool using MCP:

  • add(a, b)

  • get_greeting(name) → resource greeting://{name}


🏁 Running Any MCP Server

Each file defines its own FastMCP server. Run them individually:

python outlook_assistant.py python weather_mcp.py python sticky_notes.py python addition_server.py

Each server will start on its own FastMCP interface for integration with agents.


🧪 Example Agents

You can now connect these MCP tools with agents (CrewAI, LangChain, etc.) to enable conversational workflows like:

  • "What’s the weather in London today?"

  • "Summarize my latest sticky notes"

  • "Reply to the last unread email from Ajay"

  • "What is 42 + 11?"

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