Command Palette

Search for a command to run...

UnylyUnyly
Весь каталог

Lawmesh Server

БесплатноНе проверен

Enables AI agents to query U.S. legislative data, including jurisdictions, legislators, and bills, via the OpenStates API.

GitHubEmbed

Описание

Enables AI agents to query U.S. legislative data, including jurisdictions, legislators, and bills, via the OpenStates API.

README

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 ID
  • include (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 filter
  • include: Additional biographical data
  • Pagination support

4. get_bills

Search legislative bills, resolutions, and documents.

Parameters:

  • jurisdiction, session, chamber: Basic filters
  • identifier: Specific bill numbers
  • classification: Bill type ("bill", "resolution")
  • subject, sponsor: Content and sponsor filters
  • q: Full-text search
  • updated_since, created_since, action_since: Date filters
  • include: 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

  1. Python 3.13+
  2. OpenStates API Key: Get one at OpenStates.org
  3. Environment Setup

Installation

  1. Clone the repository:
git clone <repository-url>
cd Lawmesh
  1. Install dependencies:
# Using pip
pip install -r requirements.txt

# Or using uv (recommended)
uv sync
  1. Environment Configuration: Create a .env file:
# .env
OPENSTATES_API_KEY=your_openstates_api_key_here
  1. 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

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Submit a pull request

License

This project is open source. Please check the LICENSE file for details.

Support


Built with ❤️ using FastMCP and OpenStates API

from github.com/pratyushkr9420/Lawmesh

Установка Lawmesh Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/pratyushkr9420/Lawmesh

FAQ

Lawmesh Server MCP бесплатный?

Да, Lawmesh Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Lawmesh Server?

Нет, Lawmesh Server работает без API-ключей и переменных окружения.

Lawmesh Server — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Lawmesh Server в Claude Desktop, Claude Code или Cursor?

Открой Lawmesh Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

Похожие MCP

Compare Lawmesh Server with

Не уверен что выбрать?

Найди свой стек за 60 секунд

Автор?

Embed-бейдж для README

Похожее

Все в категории ai