Frankfurter Forex MCP

Frankfurter Forex MCP

An MCP server that provides currency rates, conversions, and historical exchange-rate data using the Frankfurter API. It enables users to retrieve latest rates, convert amounts between currencies, and access time-series data for currency pairs.

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README

Frankfurter Forex MCP

MCP server in Python for currency rates, conversion, and exchange-rate history using the Frankfurter API.

Features

  • base_quote: latest rates from a base currency to one or many targets
  • convert_currency: converts an amount between two currencies
  • exchange_history: returns the time series for a currency pair in a date range
  • Structured error payloads with error_code, tool, and trace_id
  • Retry with exponential backoff for transient upstream failures

Tech stack

  • Python 3.11+
  • MCP Python SDK (mcp)
  • httpx async client
  • Pydantic v2
  • pytest, pytest-asyncio, ruff

Project structure

src/frankfurter_forex_mcp/
  client/frankfurter.py
  models/schemas.py
  tools/
    base_quote.py
    convert_currency.py
    exchange_history.py
  server.py
tests/

Setup

  1. Install dependencies:
uv sync --all-extras
  1. Copy environment file:
cp .env.example .env

Run MCP server (stdio)

uv run python -m frankfurter_forex_mcp.server

Use with MCP Inspector on localhost

The easiest way to expose this server in the local Inspector is using:

uv run mcp dev src/frankfurter_forex_mcp/server.py

This command starts the local Inspector bridge and shows a localhost URL in the terminal.

For a manual Inspector stdio connection flow, see .docs/mcp-inspector-guide.md.

Advanced MCP practices implemented

  • Strict request validation with Pydantic before external calls
  • Strict external payload validation before response serialization
  • Stable JSON error contracts for machine clients
  • stdio-safe runtime behavior (no stdout logging side effects)
  • CI pipeline for linting, testing, and package smoke checks

Run quality checks

uv run ruff check .
uv run pytest

CI

GitHub Actions workflow is available at .github/workflows/ci.yaml.

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