Banxico MCP Server
# Banxico MCP Server
A Model Context Protocol (MCP) server for accessing the Bank of Mexico (Banxico) SIE API to retrieve USD/MXN exchange rate data and other economic indicators.
[](https://opensource.org/licenses/MIT)
[](https://www.python.org/downloads/)
## Features
- **Real-time Exchange Rates**: Get the latest USD/MXN exchange rate from Banxico
- **Historical Data**: Retrieve historical exchange rate data with customizable limits
- **Series Metadata**: Access detailed information about economic data series
- **Date Range Queries**: Get exchange rate data for specific date ranges
- **MCP Compatible**: Works with Claude Desktop, Gemini CLI, and other MCP clients
## Prerequisites
1. **Python 3.10+** installed on your system
2. **uvx** (recommended) or **uv** package manager
3. **Banxico API Token** - Get one from [Banxico SIE API](https://www.banxico.org.mx/SieAPIRest/service/v1/token)
## Installation Methods
### Option 1: Direct from GitHub (Auto-Updates) ⭐ **Recommended**
This method automatically gets the latest updates when you restart your MCP client:
**Configuration for MCP clients:**
```json
"banxico": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/cfocoder/banxico_mcp",
"banxico-mcp-server"
],
"env": {
"BANXICO_API_TOKEN": "your_token_here"
}
}
```
**No manual installation needed!** uvx will automatically download and run the latest version.
### Option 2: Download Single File (Manual Updates)
If you prefer to download the file locally:
1. **Install uvx** (if not already installed):
```bash
pip install uv
```
2. **Download the server file**:
```bash
curl -O https://raw.githubusercontent.com/cfocoder/banxico_mcp/main/banxico_mcp_server.py
```
3. **Configuration for MCP clients:**
```json
"banxico": {
"command": "uvx",
"args": [
"--python", "3.12",
"--from", "fastmcp",
"--with", "httpx",
"--",
"python",
"/absolute/path/to/banxico_mcp_server.py"
],
"env": {
"BANXICO_API_TOKEN": "your_token_here"
}
}
```
**To get updates:** Re-download the file when new features are added.
### Option 3: Traditional Installation
1. **Clone the repository**:
```bash
git clone https://github.com/cfocoder/banxico_mcp.git
cd banxico_mcp
```
2. **Install dependencies**:
```bash
pip install fastmcp httpx
```
3. **Run the server**:
```bash
BANXICO_API_TOKEN=your_token_here python banxico_mcp_server.py
```
## Deployment with Docker/Coolify
### Deploy as HTTP MCP Server (Coolify, Docker, Cloud)
This MCP server can run as a persistent HTTP service:
```bash
docker run -p 3333:3333 \
-e BANXICO_API_TOKEN=xxx \
-e MCP_PORT=3333 \
cfocoder/banxico_mcp
```
**Key points:**
- ✅ **Not just uvx** - Can run as a long-lived service
- ✅ **HTTP endpoint** - `/health` available for monitoring
- ✅ **Configurable port** - Set via `MCP_PORT` environment variable
- ✅ **Graceful shutdown** - Responds to SIGTERM signals
- ✅ **Perfect for Coolify** - Simple Docker deployment
### Quick Start with Docker Compose (Local Testing)
1. **Clone and setup:**
```bash
git clone https://github.com/cfocoder/banxico_mcp.git
cd banxico_mcp
cp .env.example .env
# Edit .env with your BANXICO_API_TOKEN and desired MCP_PORT
```
2. **Run with Docker Compose:**
```bash
docker-compose up
```
3. **Test the server:**
```bash
curl http://localhost:8000/health
```
### Deployment in Coolify (Oracle Cloud)
1. **Push to GitHub** - Coolify will pull from your repository
2. **Create new Docker service in Coolify** - Select "Docker" type
3. **Configure environment variables:**
- `BANXICO_API_TOKEN`: Your Banxico API token
- `MCP_PORT`: Port number (default: 8000, change to avoid conflicts)
4. **Expose port** - Configure port mapping in Coolify dashboard
5. **Health checks** - Coolify will automatically use the `/health` endpoint
The Docker image will build automatically with production-ready features including health checks, non-root user, and graceful shutdown handling.
## Configuration
### Get Your Banxico API Token
1. Visit [Banxico Token Registration](https://www.banxico.org.mx/SieAPIRest/service/v1/token)
2. Fill out the form to request an API token
3. You'll receive your token via email
### Configure MCP Clients
The server works with any MCP-compatible client. Use **Option 1** from "Installation Methods" above (auto-updates from GitHub) for the easiest setup.
For local configuration, use the uvx commands shown in Installation Methods and substitute your Banxico API token in the `env` section.
## Available Tools
| Tool | Description | Parameters |
|------|-------------|------------|
| `get_latest_usd_mxn_rate()` | Get the most recent USD/MXN exchange rate | None |
| `get_usd_mxn_historical_data(limit)` | Get historical exchange rate data | `limit`: Max data points (default: 30) |
| `get_series_metadata(series_id)` | Get metadata for a data series | `series_id`: Series ID (default: SF63528) |
| `get_date_range_data(start_date, end_date, series_id)` | Get data for specific date range | `start_date`, `end_date`: YYYY-MM-DD format |
| `get_inflation_data(inflation_type, limit)` | Get inflation data | `inflation_type`: 'monthly', 'accumulated', 'annual' (default: 'monthly')<br>`limit`: Max data points (default: 12) |
| `get_udis_data(limit)` | Get UDIS (Investment Units) values | `limit`: Max data points (default: 30) |
| `get_cetes_28_data(limit)` | Get CETES 28-day interest rates | `limit`: Max data points (default: 30) |
| `get_banxico_reserves_data(limit)` | Get Banxico Reserve Assets data | `limit`: Max data points (default: 30) |
| `get_unemployment_data(limit)` | Get unemployment rate data | `limit`: Max data points (default: 24) |
## Usage Examples
Once configured with your MCP client, you can ask:
**Exchange Rates:**
- "What's the current USD to MXN exchange rate?"
- "Show me the USD/MXN exchange rate for the last 10 days"
- "Get the exchange rate data from 2024-01-01 to 2024-01-31"
- "What's the metadata for the USD/MXN series?"
**Inflation Data:**
- "What's the current monthly inflation rate in Mexico?"
- "Show me the annual inflation data for the last year"
- "Get the accumulated inflation for the last 6 months"
**Interest Rates:**
- "What are the current CETES 28-day rates?"
- "Show me the CETES rates for the last month"
**Financial Indicators:**
- "What are the current UDIS values?"
- "Show me Banxico's reserve assets"
- "Get the latest financial indicators from Banxico"
**Labor Market:**
- "What's the current unemployment rate in Mexico?"
- "Show me unemployment trends for the last year"
- "How has unemployment changed over the last 2 years?"
## API Reference
The server uses the [Banxico SIE API](https://www.banxico.org.mx/SieAPIRest/service/v1/doc/ejemplos) with the following endpoints:
**Exchange Rates:**
- **Latest Data**: `/series/SF63528/datos/oportuno`
- **Historical Data**: `/series/SF63528/datos`
- **Series Metadata**: `/series/SF63528`
- **Date Range**: `/series/SF63528/datos/{start_date}/{end_date}`
**Inflation Data:**
- **Monthly Inflation**: `/series/SP30577/datos`
- **Accumulated Inflation**: `/series/SP30579/datos`
- **Annual Inflation**: `/series/SP30578/datos`
**Financial Indicators:**
- **UDIS**: `/series/SP68257/datos`
- **CETES 28-day**: `/series/SF282/datos`
- **Banxico Reserves**: `/series/SF308843/datos`
**Labor Market:**
- **Unemployment Rate**: `/series/SL1/datos`
## Development
### Project Structure
```
banxico-mcp-server/
├── Dockerfile # Production Docker image
├── docker-compose.yml # Local testing with Docker
├── .dockerignore # Docker build optimization
├── .env.example # Environment template
├── banxico_mcp_server.py # Main MCP server
├── pyproject.toml # Package configuration
├── README.md # This file
├── LICENSE # MIT License
├── CONTRIBUTING.md # Development guidelines
└── docs/
└── EXTENDING.md # Guide for adding new endpoints
```
### Testing
To test the server without an MCP client:
```bash
# Set your token
export BANXICO_API_TOKEN=your_token_here
# Run the server with a timeout to test startup
timeout 5s python banxico_mcp_server.py && echo "Server starts successfully"
```
### Adding New Tools
See [EXTENDING.md](docs/EXTENDING.md) for detailed instructions on adding new Banxico API endpoints.
## Troubleshooting
### Common Issues
1. **"BANXICO_API_TOKEN environment variable not set"**
- Ensure your API token is properly configured in the MCP client settings
2. **"Failed to retrieve data"**
- Check your internet connection
- Verify your API token is valid
- Ensure the Banxico API is accessible
3. **Server doesn't start**
- Verify Python 3.10+ is installed
- Check that uvx or required dependencies are available
### Debug Mode
Run with debug logging:
```bash
BANXICO_API_TOKEN=your_token PYTHONPATH=. python -c "
import logging
logging.basicConfig(level=logging.DEBUG)
from banxico_mcp_server import mcp
mcp.run()
"
```
## Contributing
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Acknowledgments
- [Bank of Mexico (Banxico)](https://www.banxico.org.mx/) for providing the SIE API
- [Model Context Protocol](https://modelcontextprotocol.io/) for the protocol specification
- [FastMCP](https://github.com/jlowin/fastmcp) for the excellent MCP server framework
## Related Projects
- [MCP Servers Collection](https://github.com/modelcontextprotocol/servers)
- [Claude Desktop MCP Guide](https://docs.anthropic.com/claude/docs/mcp)
- [Gemini CLI Documentation](https://github.com/google-gemini/gemini-cli)
TDQS
Scored across 9 tools
Each tool has a clearly distinct purpose targeting specific economic indicators or data types from Banxico. There is no overlap in functionality—tools like get_latest_usd_mxn_rate and get_usd_mxn_historical_data serve different needs (latest vs. historical data), and others cover unique datasets such as reserves, inflation, or unemployment.
All tool names follow a consistent verb_noun pattern starting with 'get_' followed by a descriptive noun phrase (e.g., get_banxico_reserves_data, get_inflation_data). This uniformity makes the tool set predictable and easy to understand at a glance.
With 9 tools, the server is well-scoped for accessing Banxico's economic data. Each tool earns its place by covering key indicators like exchange rates, inflation, unemployment, and reserves, without being overly broad or too limited for the domain.
The tool set provides comprehensive coverage for retrieving various economic data points from Banxico, including exchange rates, inflation, unemployment, and reserves. A minor gap is the lack of tools for more complex operations like data filtering beyond date ranges or series IDs, but core retrieval needs are fully met.