Lawmesh MCP Server
Enables AI agents to query U.S. legislative data, including jurisdictions, legislators, and bills, via the OpenStates API.
README
Lawmesh MCP Server
A comprehensive Model Context Protocol (MCP) server providing AI agents with powerful tools to access U.S. legislative data through the OpenStates API v3.
Live Deployment
Public MCP Server: https://pk-dev-Lawmesh.hf.space/mcp
The server is deployed on Hugging Face Spaces and ready for immediate use with any MCP-compatible client.
Available Tools
Lawmesh provides four comprehensive tools for querying U.S. legislative information:
1. list_jurisdictions
Retrieve all available U.S. jurisdictions (states, territories, federal districts) with optional filtering.
Parameters:
classification(optional): Filter by type ("state", "municipality", "country")include(optional): Additional data ("organizations", "legislative_sessions", "latest_runs")page,per_page: Pagination support
2. get_jurisdiction
Get detailed metadata for a specific jurisdiction.
Parameters:
jurisdiction(required): State abbreviation, full name, or OpenStates IDinclude(optional): Additional data to include
3. get_people
Search for legislators, governors, and government officials.
Parameters:
jurisdiction,name,id: Filter criteria (at least one required)org_classification: Role filter ("upper", "lower", "executive")district: District filterinclude: Additional biographical data- Pagination support
4. get_bills
Search legislative bills, resolutions, and documents.
Parameters:
jurisdiction,session,chamber: Basic filtersidentifier: Specific bill numbersclassification: Bill type ("bill", "resolution")subject,sponsor: Content and sponsor filtersq: Full-text searchupdated_since,created_since,action_since: Date filtersinclude: Additional data (votes, actions, documents, etc.)sort: Sort options- Pagination support
Architecture
Lawmesh is built using:
- FastMCP: Modern MCP server framework
- Streamable HTTP Transport: Optimized for web deployment
- OpenStates API v3: Authoritative source for U.S. legislative data
- Async Architecture: High-performance concurrent request handling
┌─────────────────┐ HTTP/MCP ┌─────────────────┐ HTTPS/API ┌─────────────────┐
│ MCP Client │ <-------------> │ Lawmesh Server │ <-------------> │ OpenStates API │
│ (Claude, etc.) │ │ (FastMCP) │ │ (v3) │
└─────────────────┘ └─────────────────┘ └─────────────────┘
Quick Start with MCP Client
Example: Python MCP Client
import asyncio
from mcp import create_client_session
from mcp.client.transports.http import create_http_transport
async def main():
# Connect to the deployed Lawmesh server
transport = create_http_transport("https://pk-dev-Lawmesh.hf.space/mcp")
async with create_client_session(transport) as session:
# List available tools
tools = await session.list_tools()
print("Available tools:", [tool.name for tool in tools.tools])
# Example: Get California jurisdictions
result = await session.call_tool("list_jurisdictions", {
"classification": "state",
"per_page": 10
})
print("Jurisdictions:", result.content)
# Example: Search for bills about education in California
bills = await session.call_tool("get_bills", {
"jurisdiction": "ca",
"subject": "education",
"per_page": 5
})
print("Education bills:", bills.content)
if __name__ == "__main__":
asyncio.run(main())
Example: Using with Claude Desktop
Add to your Claude Desktop MCP configuration:
{
"mcpServers": {
"lawmesh": {
"url": "https://pk-dev-Lawmesh.hf.space/mcp"
}
}
}
Local Development Setup
Prerequisites
- Python 3.13+
- OpenStates API Key: Get one at OpenStates.org
- Environment Setup
Installation
- Clone the repository:
git clone <repository-url>
cd Lawmesh
- Install dependencies:
# Using pip
pip install -r requirements.txt
# Or using uv (recommended)
uv sync
- Environment Configuration:
Create a
.envfile:
# .env
OPENSTATES_API_KEY=your_openstates_api_key_here
- Run the server:
# Development mode
python app.py
# Or with uvicorn
uvicorn app:app --host 0.0.0.0 --port 7860 --reload
The server will be available at: http://localhost:7860/mcp
Local Testing
Test your local server with MCP Inspector:
npx @modelcontextprotocol/inspector http://localhost:7860/mcp
Docker Deployment
Using the included Dockerfile:
# Build the image
docker build -t lawmesh-mcp .
# Run with environment variable
docker run -p 7860:7860 -e OPENSTATES_API_KEY=your_key_here lawmesh-mcp
Docker Compose:
# docker-compose.yml
version: '3.8'
services:
lawmesh:
build: .
ports:
- "7860:7860"
environment:
- OPENSTATES_API_KEY=${OPENSTATES_API_KEY}
env_file:
- .env
Dependencies
Core dependencies from pyproject.toml:
- fastmcp>=2.12.3: MCP server framework
- httpx>=0.28.1: Async HTTP client for API calls
- uvicorn>=0.36.0: ASGI server
- python-dotenv>=1.1.1: Environment variable management
- mcp[cli]>=1.14.1: MCP protocol support
Security & Configuration
Environment Variables
| Variable | Required | Description |
|---|---|---|
OPENSTATES_API_KEY |
Yes | Your OpenStates API key |
PORT |
No | Server port (default: 7860) |
HOST |
No | Server host (default: 0.0.0.0) |
API Key Security
- Never commit API keys to version control
- Use environment variables or secure secret management
- For Hugging Face Spaces: Configure as Repository Secrets
Use Cases
- Political Research: Track legislation and voting patterns
- Government Transparency: Access public legislative records
- Civic Engagement: Build tools for citizen participation
- Academic Research: Study U.S. political processes
- News & Media: Automated legislative monitoring
- Legal Research: Access bill text and legislative history
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests for new functionality
- Submit a pull request
License
This project is open source. Please check the LICENSE file for details.
Support
- Issues: Report bugs and feature requests via GitHub Issues
- Documentation: OpenStates API v3 docs at docs.openstates.org
- MCP Protocol: Learn more at modelcontextprotocol.io
Built with ❤️ using FastMCP and OpenStates API
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