Frankfurter MCP

Frankfurter is a useful API for latest currency exchange rates, historical data, or time series published by sources such as the European Central Bank. Should you have to access the Frankfurter API as tools for language model agents exposed over the Model Context Protocol (MCP), Frankfurter MCP is what you need.

Installation

If your objective is to use the tools available on this MCP server, please refer to the usage > client sub-section below.

The directory where you clone this repository will be referred to as the working directory or WD hereinafter.

Install uv. To install the project with its minimal dependencies in a virtual environment, run the following in the WD. To install all non-essential dependencies (which are required for developing and testing), replace the --no-dev with the --all-groups flag in the following command.

uv sync --no-dev

Environment variables

Following is a list of environment variables that can be used to configure the application. A template of environment variables is provided in the file .env.template. Note that the default values listed in the table below are not always the same as those in the .env.template file.

The following environment variables can be specified, prefixed with FASTMCP_: HOST, PORT, DEBUG and LOG_LEVEL. See global configuration options for FastMCP. Note that on_duplicate_ prefixed options specified as environment variables will be ignored.

The underlying HTTP client also respects some environment variables, as documented in the HTTPX library. In addition, SSL_CERT_FILE and SSL_CERT_DIR can be configured to use self-signed certificates of hosted API endpoint or intermediate HTTP(S) proxy server(s).

Usage

The following sub-sections illustrate how to run the Frankfurter MCP as a server and how to access it from MCP clients.

Server

While running the server, you have the choice to use stdio transport or HTTP options (sse or the newer streamable-http).

Using default settings and MCP_SERVER_TRANSPORT set to sse or streamable-http, the MCP endpoint will be available over HTTP at http://localhost:8000/sse for the Server Sent Events (SSE) transport, or http://localhost:8000/mcp for the streamable HTTP transport.

If you want to run Frankfurter MCP with stdio transport and the default parameters, execute the commands below without using the .env.template file.

Server with uv

Optional: Copy the .env.template file to a .env file in the WD, to modify the aforementioned environment variables, if you want to use anything other than the default settings. Or, on your shell, you can export the environment variables that you wish to modify.

Run the following in the WD to start the MCP server.

uv run frankfurtermcp

Server with pip from PyPI package

Add this package from PyPI using pip in a virtual environment (possibly managed by uv, pyenv or conda) and then start the server by running the following.

Optional: Add a .env file with the contents of the .env.template file if you wish to modify the default values of the aforementioned environment variables. Or, on your shell, you can export the environment variables that you wish to modify.

pip install frankfurtermcp
python -m frankfurtermcp.server

Server using Docker

There are two Dockerfiles provided in this repository.

• local.dockerfile for containerising the Frankfurter MCP server.
• smithery.dockerfile for deploying to Smithery AI, which you do not have to use.

To build the image, create the container and start it, run the following in WD. Choose shorter names for the image and container if you prefer.

If you change the port to anything other than 8000 in .env.template, do remember to change the port number references in the following command. Instead of passing all the environment variables using the --env-file option, you can also pass individual environment variables using the -e option.

docker build -t frankfurtermcp -f local.dockerfile .
docker create -p 8000:8000/tcp --env-file .env.template --expose 8000 --name frankfurtermcp-container frankfurtermcp
docker start frankfurtermcp-container

Upon successful build and container start, the MCP server will be available over HTTP at http://localhost:8000/sse for the Server Sent Events (SSE) transport, or http://localhost:8000/mcp for the streamable HTTP transport.

Cloud hosted servers

The currently available cloud hosted options are as follows.

• FastMCP Cloud: https://frankfurtermcp.fastmcp.app/mcp
• Glama.AI: https://glama.ai/mcp/servers/@anirbanbasu/frankfurtermcp
• Smithery.AI: https://smithery.ai/server/@anirbanbasu/frankfurtermcp

Client access

This sub-section explains ways for a client to connect and test the FrankfurterMCP server.

The official MCP visual inspector

The MCP Inspector is an official Model Context Protocol tool that can be used by developers to test and debug MCP servers. This is the most comprehensive way to explore the MCP server.

To use it, you must have Node.js installed. The best way to install and manage node as well as packages such as the MCP Inspector is to use the Node Version Manager (or, nvm). Once you have nvm installed, you can install and use the latest Long Term Release version of node by executing the following.

nvm install --lts
nvm use --lts

Following that (install and) run the MCP Inspector by executing the following in the WD.

npx @modelcontextprotocol/inspector uv run frankfurtermcp

This will create a local URL at port 6274 with an authentication token, which you can copy and browse to on your browser. Once on the MCP Inspector UI, press Connect to connect to the MCP server. Thereafter, you can explore the tools available on the server.

Claude Desktop, Visual Studio, and so on

The server entry to run with stdio transport that you can use with systems such as Claude Desktop, Visual Studio Code, and so on is as follows.

{
    "command": "uv",
    "args": [
        "run",
        "frankfurtermcp"
    ]
}

Instead of having frankfurtermcp as the last item in the list of args, you may need to specify the full path to the script, e.g., WD/.venv/bin/frankfurtermcp. Likewise, instead of using uv, you could also have the following JSON configuration with the path properly substituted for python3.12, for instance such as WD/.venv/bin/python3.12.

{
    "command": "python3.12",
    "args": [
        "-m",
        "frankfurtermcp.server"
    ]
}

List of available MCP features