serbian-data-mcp 0.1.0

MCP server for Serbian open data portal (data.gov.rs) with visualization capabilities

Serbian Data MCP Server

MCP server for accessing Serbian open data portal (data.gov.rs) with built-in visualization capabilities.

pip install serbian-data-mcp

Features

• 🔍 Search 3,400+ datasets from Serbian government
• 📊 Create 6 types of charts (line, bar, pie, scatter, histogram, box)
• 📥 Download data in JSON, CSV, XML, XLSX formats
• 🎨 Export visualizations as HTML/PNG/JSON
• 🇷🇸 Full Serbian language support (UTF-8)
• 🚀 Built-in rate limiting and caching
• 🛠️ Data transformation tools (filter, group, aggregate, sort, select)
• 🔧 Git repository visualization and analysis

🚀 Quick Start

Install from PyPI (Recommended)

pip install serbian-data-mcp

Then add to your MCP client configuration (see Usage below).

Install from Source

git clone https://github.com/acailic/serbian-data-mcp
cd serbian-data-mcp
uv sync

📖 Configuration

The server works out of the box with sensible defaults. To customize, create a config.json in your working directory (or next to the installed package):

{
  "api_base": "https://data.gov.rs",
  "rate_limit": 1.0,
  "timeout": 30,
  "cache_dir": ".cache",
  "export_dir": "exports"
}

See config.example.json in the source repo for all options.

🚀 Usage

Claude Desktop Configuration

{
  "mcpServers": {
    "serbian-data": {
      "command": "serbian-data-mcp"
    }
  }
}

Or if you installed from source:

{
  "mcpServers": {
    "serbian-data": {
      "command": "python",
      "args": ["-m", "serbian_data_mcp"]
    }
  }
}

Available Tools

• search_datasets - Search datasets with filters
• get_dataset - Get complete dataset details
• get_resource_data - Download and parse resource data
• create_visualization - Create charts from data
• list_organizations - Browse data providers
• suggest_datasets - Autocomplete for search
• get_git_stats - Get git repository statistics
• get_git_history - Retrieve commit history
• visualize_git_data - Create git repository visualizations

📊 Visualization Gallery

The MCP server supports 6 types of interactive charts with automatic styling and Serbian language support.

Line Charts

Perfect for time series data and trends

Bar Charts

Compare values across categories

Horizontal Bar Charts

Ideal for long category names

Pie Charts

Show parts of a whole

Scatter Plots

Explore relationships between variables

Histograms

Analyze frequency distributions

Box Plots

Display statistical summaries and outliers

Examples

# Search datasets
datasets = await mcp.call_tool("search_datasets", {
    "query": "population",
    "format": "json",
    "page_size": 10
})

# Create visualization
chart = await mcp.call_tool("create_visualization", {
    "data": data,
    "chart_type": "line",
    "title": "Population Trends",
    "x_column": "year",
    "y_column": "population",
    "export_format": "html"
})

📚 Documentation

• Quick Start Guide - Get started in 5 minutes
• Usage Examples - 24+ real-world examples and use cases
• API Reference - Complete tool documentation with parameters
• Troubleshooting - Common issues and solutions
• Contributing Guide - Developer contribution guidelines

Development

Setup Development Environment

make install

Running Tests

make test       # Run all tests with coverage
make test-quick # Quick tests (no coverage)

Code Quality Checks

make check      # Run all quality checks (lint, format, type-check, security)
make check-quick # Quick checks (lint + format only)

Project Structure

serbian-data-mcp/
├── src/serbian_data_mcp/
│   ├── api/              # API client and models
│   ├── catalog/          # Dataset catalog and search
│   ├── data/             # Data parsing and transformation
│   ├── intelligence/     # Query expansion and smart search
│   ├── viz/              # Visualization tools
│   ├── config.py         # Configuration management
│   ├── exceptions.py     # Custom exceptions
│   └── tools.py          # MCP tool definitions
├── tests/                # Comprehensive test suite
├── .github/workflows/    # CI/CD configuration
├── pyproject.toml        # Project configuration
└── Makefile              # Development commands

License

MIT License - see LICENSE file