Question 1

What is the Frankfurter MCP server?

Accepted Answer

The Frankfurter MCP server is a tool that exposes the Frankfurter API (a currency exchange rate API) to AI agents operating within the Model Context Protocol (MCP). It allows AI agents to access real-time and historical currency data.

Question 2

What is the Frankfurter API?

Accepted Answer

Frankfurter is a free and open-source API that provides access to the latest currency exchange rates, historical data, and time series published by sources such as the European Central Bank.

Question 3

What is the Model Context Protocol (MCP)?

Accepted Answer

MCP is an open protocol that standardizes how applications provide context to LLMs (Large Language Models), enabling AI agents to interact with external data sources and tools.

Question 4

How do I install the Frankfurter MCP server?

Accepted Answer

You can install it using `uv` or Docker. Detailed instructions are in the project's README file on GitHub.

Question 5

What environment variables can I configure?

Accepted Answer

You can configure variables like `HTTPX_TIMEOUT`, `HTTPX_VERIFY_SSL`, `MCP_SERVER_TRANSPORT`, and `FRANKFURTER_API_URL` using environment variables.

Question 6

What transport modes are supported?

Accepted Answer

The server supports `stdio`, `sse` (Server-Sent Events), and `streamable-http` transport modes.

Question 7

What tools are exposed by the server?

Accepted Answer

The server exposes tools such as `get_supported_currencies`, `get_latest_exchange_rates`, `convert_currency_latest`, `get_historical_exchange_rates`, and `convert_currency_specific_date`.

Question 8

How can I see the detailed schema for a specific tool?

Accepted Answer

You can use the `tools-info` command from the command-line interface (`cli`). The server must be running in `streamable-http` or `sse` transport mode.

Question 9

Can I use this with LlamaIndex?

Accepted Answer

Yes, you can use the `llamaindex-tools-list` command to display the names of the tools, demonstrating LlamaIndex MCP client compatibility. You'll need to install the LlamaIndex MCP client first (`uv sync --extra opt`).

Question 10

How do I contribute to the project?

Accepted Answer

Install `pre-commit` and `ruff`, then enable `pre-commit` by running `pre-commit install` in the working directory. Pull requests are welcome.

Question 11

How do I run the tests?

Accepted Answer

Execute `uv run --group test pytest tests/`. Make sure the environment variable `MCP_SERVER_TRANSPORT` is set to either `sse` or `streamable-http` (or not set at all).

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