| Name | landuse-mcp JSON |
| Version |
0.1.5
JSON |
| download |
| home_page | None |
| Summary | An MCP for retrieving land use data for a given location |
| upload_time | 2025-07-08 16:40:59 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.10 |
| license | MIT |
| keywords |
geospatial
gis
landuse
mcp
nlcd
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# landuse-mcp
A Model Context Protocol (MCP) server for retrieving land use data for given geographical locations using the National Land Cover Database (NLCD) and other geospatial datasets.
## Features
- **Land Cover Data**: Retrieve detailed land cover classifications for any coordinate
- **Soil Type Information**: Get FAO soil type classifications for geographical points
- **Temporal Data**: Access available dates for land use data at specific locations
- **MCP Integration**: Full Model Context Protocol support for AI agents
- **Geospatial Processing**: Built on robust geospatial libraries for accurate data retrieval
## Quick Start
```bash
# Install dependencies and set up development environment
make dev
# Run the MCP server
make server
# Run tests
make test-coverage
# Demo functionality
make demo
```
## Installation
### From PyPI (Recommended)
```bash
# Install with uvx
uvx landuse-mcp
```
### From Source
```bash
# Clone the repository
git clone https://github.com/justaddcoffee/landuse-mcp.git
cd landuse-mcp
# Install in development mode
make dev
```
## Usage
### Command Line Interface
```bash
# Run the MCP server
landuse-mcp
# Or using uv
uv run landuse-mcp
```
### Python API
```python
from landuse_mcp.main import get_land_cover, get_soil_type, get_landuse_dates
# Get land cover data for Death Valley
land_cover = get_land_cover(36.5322649, -116.9325408, "2001-01-01", "2002-01-01")
print(land_cover)
# Get soil type for a location
soil_type = get_soil_type(32.95047, -87.393259)
print(soil_type) # e.g., "Cambisols"
# Get available dates for land use data
dates = get_landuse_dates(36.5322649, -116.9325408)
print(dates) # List of available dates
```
### Testing MCP Protocol
```bash
# Test MCP handshake
make test-mcp
# Extended MCP testing
make test-mcp-extended
```
## Integration with AI Tools
### Claude Desktop
Add this to your Claude Desktop configuration file (`~/Library/Application Support/Claude/claude_desktop_config.json`):
```json
{
"mcpServers": {
"landuse-mcp": {
"command": "uvx",
"args": ["landuse-mcp"],
"cwd": "/path/to/landuse-mcp"
}
}
}
```
### Claude Code
```bash
claude mcp add -s project landuse-mcp uvx landuse-mcp
```
### Goose
```bash
goose session --with-extension "uvx landuse-mcp"
```
## Available Tools
The MCP server provides three main tools:
1. **`get_land_cover`**: Retrieve land cover data for coordinates with temporal range
2. **`get_soil_type`**: Get FAO soil classification for a location
3. **`get_landuse_dates`**: List available dates for land use data at coordinates
## Data Sources
- **National Land Cover Database (NLCD)**: Primary source for US land cover data
- **FAO Soil Types**: Global soil classification system
- **nmdc-geoloc-tools**: Underlying geospatial processing library
## Development
### Development Setup
```bash
# Full development setup
make dev
# Install production dependencies only
make install
# Run tests with coverage
make test-coverage
# Code quality checks
make format lint mypy
# Check for unused dependencies
make deptry
# Clean build artifacts
make clean
```
### Build and Release
```bash
# Build package
make build
# Upload to TestPyPI
make upload-test
# Upload to PyPI
make upload
# Complete release workflow
make release
```
### Testing
```bash
# Run all tests
make test-coverage
# Run integration tests
make test-integration
# Test MCP protocol
make test-mcp test-mcp-extended
```
## Contributing
1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Run tests: `make test-coverage`
5. Run quality checks: `make format lint mypy`
6. Submit a pull request
## Requirements
- Python 3.10+
- uv (recommended)
- Dependencies managed via `pyproject.toml`
## License
MIT License - see LICENSE file for details.
## Authors
- Mark Miller
- Justin Reese
- Charles Parker
## Citation
If you use this software in your research, please cite it as:
```bibtex
@software{landuse_mcp,
title = {landuse-mcp: A Model Context Protocol server for land use data},
author = {Miller, Mark and Reese, Justin and Parker, Charles},
url = {https://github.com/justaddcoffee/landuse-mcp},
version = {0.1.0},
year = {2024}
}
```
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"description": "# landuse-mcp\n\nA Model Context Protocol (MCP) server for retrieving land use data for given geographical locations using the National Land Cover Database (NLCD) and other geospatial datasets.\n\n## Features\n\n- **Land Cover Data**: Retrieve detailed land cover classifications for any coordinate\n- **Soil Type Information**: Get FAO soil type classifications for geographical points\n- **Temporal Data**: Access available dates for land use data at specific locations\n- **MCP Integration**: Full Model Context Protocol support for AI agents\n- **Geospatial Processing**: Built on robust geospatial libraries for accurate data retrieval\n\n## Quick Start\n\n```bash\n# Install dependencies and set up development environment\nmake dev\n\n# Run the MCP server\nmake server\n\n# Run tests\nmake test-coverage\n\n# Demo functionality\nmake demo\n```\n\n## Installation\n\n### From PyPI (Recommended)\n\n```bash\n# Install with uvx\nuvx landuse-mcp\n```\n\n### From Source\n\n```bash\n# Clone the repository\ngit clone https://github.com/justaddcoffee/landuse-mcp.git\ncd landuse-mcp\n\n# Install in development mode\nmake dev\n```\n\n## Usage\n\n### Command Line Interface\n\n```bash\n# Run the MCP server\nlanduse-mcp\n\n# Or using uv\nuv run landuse-mcp\n```\n\n### Python API\n\n```python\nfrom landuse_mcp.main import get_land_cover, get_soil_type, get_landuse_dates\n\n# Get land cover data for Death Valley\nland_cover = get_land_cover(36.5322649, -116.9325408, \"2001-01-01\", \"2002-01-01\")\nprint(land_cover)\n\n# Get soil type for a location\nsoil_type = get_soil_type(32.95047, -87.393259)\nprint(soil_type) # e.g., \"Cambisols\"\n\n# Get available dates for land use data\ndates = get_landuse_dates(36.5322649, -116.9325408)\nprint(dates) # List of available dates\n```\n\n### Testing MCP Protocol\n\n```bash\n# Test MCP handshake\nmake test-mcp\n\n# Extended MCP testing\nmake test-mcp-extended\n```\n\n## Integration with AI Tools\n\n### Claude Desktop\n\nAdd this to your Claude Desktop configuration file (`~/Library/Application Support/Claude/claude_desktop_config.json`):\n\n```json\n{\n \"mcpServers\": {\n \"landuse-mcp\": {\n \"command\": \"uvx\",\n \"args\": [\"landuse-mcp\"],\n \"cwd\": \"/path/to/landuse-mcp\"\n }\n }\n}\n```\n\n### Claude Code\n\n```bash\nclaude mcp add -s project landuse-mcp uvx landuse-mcp\n```\n\n### Goose\n\n```bash\ngoose session --with-extension \"uvx landuse-mcp\"\n```\n\n## Available Tools\n\nThe MCP server provides three main tools:\n\n1. **`get_land_cover`**: Retrieve land cover data for coordinates with temporal range\n2. **`get_soil_type`**: Get FAO soil classification for a location\n3. **`get_landuse_dates`**: List available dates for land use data at coordinates\n\n## Data Sources\n\n- **National Land Cover Database (NLCD)**: Primary source for US land cover data\n- **FAO Soil Types**: Global soil classification system\n- **nmdc-geoloc-tools**: Underlying geospatial processing library\n\n## Development\n\n### Development Setup\n\n```bash\n# Full development setup\nmake dev\n\n# Install production dependencies only\nmake install\n\n# Run tests with coverage\nmake test-coverage\n\n# Code quality checks\nmake format lint mypy\n\n# Check for unused dependencies\nmake deptry\n\n# Clean build artifacts\nmake clean\n```\n\n### Build and Release\n\n```bash\n# Build package\nmake build\n\n# Upload to TestPyPI\nmake upload-test\n\n# Upload to PyPI\nmake upload\n\n# Complete release workflow\nmake release\n```\n\n### Testing\n\n```bash\n# Run all tests\nmake test-coverage\n\n# Run integration tests\nmake test-integration\n\n# Test MCP protocol\nmake test-mcp test-mcp-extended\n```\n\n## Contributing\n\n1. Fork the repository\n2. Create a feature branch\n3. Make your changes\n4. Run tests: `make test-coverage`\n5. Run quality checks: `make format lint mypy`\n6. Submit a pull request\n\n## Requirements\n\n- Python 3.10+\n- uv (recommended)\n- Dependencies managed via `pyproject.toml`\n\n## License\n\nMIT License - see LICENSE file for details.\n\n## Authors\n\n- Mark Miller\n- Justin Reese \n- Charles Parker\n\n## Citation\n\nIf you use this software in your research, please cite it as:\n\n```bibtex\n@software{landuse_mcp,\n title = {landuse-mcp: A Model Context Protocol server for land use data},\n author = {Miller, Mark and Reese, Justin and Parker, Charles},\n url = {https://github.com/justaddcoffee/landuse-mcp},\n version = {0.1.0},\n year = {2024}\n}\n```",
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