Exchange Rate MCP Server
Allows fetching exchange rate data from the MCP server and sending it to an Ollama model (e.g., gemma3:27b) for processing or analysis.
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., "@Exchange Rate MCP ServerWhat is the current exchange rate from USD to EUR?"
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.
Exchange Rate MCP Server (Python)
This is a Python implementation of a Model Context Protocol (MCP) server that provides current exchange rates from a reliable source.
Overview
This server implements the Model Context Protocol to provide real-time exchange rate data. It can be used by AI models to get up-to-date currency exchange information.
Features
Provides current exchange rates for various currencies
Configurable base currency (defaults to USD)
Uses the exchangerate.host API as a data source
Includes client examples and Ollama integration
Installation
# Clone the repository
git clone git@github.com:devshark/exchange-rate-mcp.git
cd exchange-rate-mcp
# Create a virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Copy the example environment file and edit as needed
cp .env.example .envConfiguration
Edit the .env file to configure:
PORT: The port on which the server will run (default: 3000)EXCHANGE_API_KEY: Your API key for the exchange rate service (optional)
Note about API Keys:
The server will work without an API key using free public APIs
For testing purposes, you can leave the
EXCHANGE_API_KEYemptyIf the API is unavailable, the server will fall back to mock data
Usage
Starting the Server
python server.pyThe server will start on the port specified in your .env file (default: 3000).
Testing with the Client
python client.pyThis will send a request to the MCP server and display the response.
Testing with Ollama Integration
First, make sure you have Ollama installed and the gemma3:27b model downloaded:
ollama pull gemma3:27bThen run the Ollama client:
python ollama_client.pyThis will:
Fetch exchange rates from the MCP server
Format them into a prompt
Send the prompt to Ollama
Display and save the response
API
The server exposes an MCP endpoint that accepts JSON-RPC 2.0 requests with the following methods:
listTools
Lists available tools on the server.
Example request:
{
"jsonrpc": "2.0",
"id": "1",
"method": "listTools",
"params": {}
}callTool
Calls a specific tool with parameters.
Example request:
{
"jsonrpc": "2.0",
"id": "1",
"method": "callTool",
"params": {
"name": "exchange-rates",
"parameters": {
"base": "EUR",
"symbols": ["USD", "GBP", "JPY"]
}
}
}Example response:
{
"jsonrpc": "2.0",
"id": "1",
"result": {
"content": {
"base": "EUR",
"date": "2025-04-12",
"rates": {
"USD": 1.0923,
"GBP": 0.8578,
"JPY": 163.27
}
},
"metadata": {
"source": "exchange-rate-mcp",
"timestamp": "2025-04-12T12:25:30.123Z",
"baseCurrency": "EUR",
"symbols": "USD,GBP,JPY"
}
}
}License
Author
© Anthony Lim
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