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-tools-assignment What's the current weather in New York?"
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.
This project implements a small Model Context Protocol (MCP) server with five tools and a client that calls them over stdio.
The server exposes five tools, each of which makes one GET request to a public API and returns only the relevant fields.
Tool | Input | Public API | Returned data |
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| base currency + selected rates |
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| list of holiday objects with |
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The client starts the server as a subprocess, lists the available tools, and calls each tool with sample input.
Related MCP server: ai-mcp
mcp-server-tools-assignment/
├── client/
│ └── client.py
├── server/
│ ├── http.py
│ ├── server.py
│ └── tools/
│ ├── country.py
│ ├── dictionary.py
│ ├── exchange.py
│ ├── holidays.py
│ └── weather.py
├── config.py
├── README.md
├── requirements.txt
└── .venv/cd mcp-server-tools-assignment
python3 -m venv .venv
. .venv/bin/activate
python -m pip install -r requirements.txtcd mcp-server-tools-assignment
. .venv/bin/activate
python -m server.serverThis starts the MCP server over stdio.
cd mcp-server-tools-assignment
. .venv/bin/activate
python client/client.pyThis launches the server, lists the available tools, and calls each tool with sample data.
The project uses the mcp Python package and communicates over stdio transport.
The server and client are separate Python programs.
Each tool function makes one GET request to a public API and returns only the relevant fields.
Error handling is included so that invalid input or API failures do not crash the server.
The following are the actual validation calls and representative outputs from the working project.
{'city': 'Mumbai'}Output:
CASE:weather
{'meta': None, 'content': [{'type': 'text', 'text': '{\n "city": "Mumbai",\n "temp_c": 28.0,\n "condition": "Light rain shower",\n "humidity": 78\n}', 'annotations': None, 'meta': None}], 'structuredContent': None, 'isError': False}{'name': 'India'}Output:
CASE:country_info
{'meta': None, 'content': [{'type': 'text', 'text': '{\n "name": "India",\n "capital": "New Delhi",\n "region": "Asia",\n "population": 1380004385,\n "currencies": [\n "INR"\n ],\n "languages": [\n "Hindi",\n "English"\n ]\n}', 'annotations': None, 'meta': None}], 'structuredContent': None, 'isError': False}{'base': 'USD'}Output:
CASE:exchange_rates
{'meta': None, 'content': [{'type': 'text', 'text': '{\n "base": null,\n "rates": {\n "USD": 1,\n "EUR": 0.862295,\n "INR": 95.581563,\n "GBP": 0.738249,\n "JPY": 160.045067,\n "AUD": 1.395915,\n "CAD": 1.389176,\n "SGD": 1.273831\n }\n}', 'annotations': None, 'meta': None}], 'structuredContent': None, 'isError': False}{'year': 2025, 'country_code': 'US'}Output:
CASE:public_holidays
{'meta': None, 'content': [{'type': 'text', 'text': '{\n "date": "2025-01-01",\n "localName": "New Year\'s Day",\n "name": "New Year\'s Day"\n}', ... ], 'structuredContent': None, 'isError': False}The output contains multiple holiday records, which confirms the tool is returning a non-empty list.
{'word': 'example'}Output:
CASE:define_word
{'meta': None, 'content': [{'type': 'text', 'text': '{\n "word": "example",\n "definitions": [\n {\n "partOfSpeech": "noun",\n "meaning": "A thing characteristic of its kind or illustrating a general rule."\n },\n {\n "partOfSpeech": "verb",\n "meaning": "To serve as a pattern or model for others."\n }\n ]\n}', 'annotations': None, 'meta': None}], 'structuredContent': None, 'isError': False}{'word': 'asdfghjkl'}Output:
CASE:define_word
{'meta': None, 'content': [{'type': 'text', 'text': '{\n "word": "asdfghjkl",\n "definitions": [],\n "error": "not found"\n}', 'annotations': None, 'meta': None}], 'structuredContent': None, 'isError': False}This confirms the tool does not crash on a nonsense word; it returns a clean not found response, while valid words return real definitions.
mcp<2
requests>=2.31.0This assignment demonstrates how an MCP server exposes tools, how a client discovers them, and how the client calls them over stdio. It is a beginner-friendly example of how external APIs can be wrapped as tools that an AI or application can call in a structured and repeatable way.
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Exchange MCP — wraps the Frankfurter currency exchange API (free, no auth)
Official parseAPI MCP. Place, IP, email, phone, weather, currency lookups.
WeatherAPI.com MCP — wraps WeatherAPI.com (api.weatherapi.com)
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