propublica-mcp

propublica-mcp

A Model Context Protocol (MCP) server that provides access to ProPublica's Nonprofit Explorer API, enabling AI models to search and analyze nonprofit organizations' Form 990 data for CRM integration and prospect research.

Category
访问服务器

README

ProPublica MCP Server

A Model Context Protocol (MCP) server that provides access to ProPublica's Nonprofit Explorer API, enabling AI models to search and analyze nonprofit organizations' Form 990 data for CRM integration and prospect research.

🚨 Breaking Changes in v1.0.0

Version 1.0.0 introduces breaking changes with the implementation of MCP 2025-03-26 Streamable HTTP transport:

  • Remote deployments now use a single / endpoint instead of /sse and /messages
  • MCP client configuration has changed for cloud deployments (see Usage section below)
  • Improved compatibility with Claude Desktop, Cursor, and other MCP clients
  • Backwards incompatible with MCP clients expecting the old SSE transport

Features

  • Search nonprofit organizations by name, location, and category
  • Retrieve detailed organization profiles and contact information
  • Access Form 990 financial data and filing history
  • Analyze financial trends across multiple years
  • Export data in CRM-ready formats
  • Built with FastMCP for optimal performance

🚀 One-Click Deployment

Deploy the ProPublica MCP server instantly to your preferred cloud platform:

DigitalOcean App Platform

Deploy to DO

Cloudflare Workers

Deploy to Cloudflare Workers

Both platforms offer:

  • DigitalOcean: Container-based deployment with automatic scaling and monitoring
  • Cloudflare: Serverless deployment with global edge distribution and zero cold starts

Quick Start

Prerequisites

  • Python 3.8 or higher
  • Git

Installation

Option 1: Docker (Recommended)

The easiest way to run the ProPublica MCP server is using Docker:

Quick Start with Docker:

# Pull the latest image from GitHub Container Registry
docker pull ghcr.io/asachs/propublica-mcp:latest

# Run the server
docker run -it --rm ghcr.io/asachs/propublica-mcp:latest

Using Docker Compose:

  1. Download the compose file:
curl -O https://raw.githubusercontent.com/asachs/propublica-mcp/main/docker-compose.yml
curl -O https://raw.githubusercontent.com/asachs/propublica-mcp/main/env.example
  1. Configure environment (optional):
cp env.example .env
# Edit .env file with your preferred settings
  1. Start the service:
docker-compose up -d

Option 2: Cloud Deployment

DigitalOcean App Platform:

  1. Click the "Deploy to DO" button above
  2. Connect your GitHub account (if not already connected)
  3. Configure environment variables (optional - defaults are provided)
  4. Click "Deploy" - your app will be live in minutes with a public URL

Cloudflare Workers:

  1. Click the "Deploy to Cloudflare Workers" button above
  2. Connect your GitHub account and authorize Cloudflare
  3. Configure any environment variables as needed
  4. Deploy - your serverless function will be live globally

🚀 Production Deployment Strategy

Cloud deployments only deploy from the deploy branch, which contains stable, tested releases:

  • Development: All work happens on main branch
  • Releases: When tags are created (e.g., v0.2.0), the deploy branch is automatically updated
  • Cloud Platforms: DigitalOcean and Cloudflare deploy only from the deploy branch
  • Benefits: Ensures only stable, released versions reach production environments

Option 3: Local Python Installation

  1. Clone the repository:
git clone <repository-url>
cd propublica-mcp
  1. Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt
  1. Install the package:
pip install -e .
  1. Run the server:

For stdio mode (local MCP clients):

python -m propublica_mcp.server

For HTTP mode (remote MCP clients):

python -m propublica_mcp.server --http --host 0.0.0.0 --port 8080

Available options:

  • --http: Enable HTTP server mode for remote MCP clients
  • --host: Host to bind to (default: 127.0.0.1)
  • --port: Port to bind to (default: 8080)
  • --log-level: Set logging level (DEBUG, INFO, WARNING, ERROR)

Usage with MCP Clients

This server implements the MCP 2025-03-26 Streamable HTTP transport protocol and can be used with any MCP client, including Claude Desktop, Cursor, and other compatible tools.

For Cloud Deployment (Remote MCP Server):

DigitalOcean/Cloudflare (Streamable HTTP):

For remote Python MCP servers, you'll need to use an HTTP transport. Add this to your MCP client configuration:

{
  "mcpServers": {
    "propublica-mcp": {
      "transport": {
        "type": "http",
        "url": "https://propublica-mcp-lk97f.ondigitalocean.app"
      },
      "description": "ProPublica Nonprofit Explorer MCP Server (Remote)"
    }
  }
}

For Local Installation (stdio transport):

{
  "mcpServers": {
    "propublica-mcp": {
      "command": "python",
      "args": ["-m", "propublica_mcp.server"],
      "cwd": "/path/to/propublica-mcp",
      "env": {}
    }
  }
}

For Docker Deployment (stdio transport):

{
  "mcpServers": {
    "propublica-mcp": {
      "command": "docker",
      "args": [
        "run", "--rm", "-i",
        "ghcr.io/asachs/propublica-mcp:latest"
      ],
      "description": "ProPublica Nonprofit Explorer MCP Server"
    }
  }
}

For Local HTTP Server (development):

# Start HTTP server locally
python -m propublica_mcp.server --http --host 0.0.0.0 --port 8080

Then configure as remote server:

{
  "mcpServers": {
    "propublica-mcp": {
      "transport": {
        "type": "http",
        "url": "http://localhost:8080"
      },
      "description": "ProPublica Nonprofit Explorer MCP Server (Local HTTP)"
    }
  }
}

API Tools

Core Tools

  • search_nonprofits: Search for nonprofit organizations
  • get_organization: Get detailed organization information by EIN
  • get_organization_filings: Retrieve Form 990 filings for an organization

Advanced Tools

  • analyze_nonprofit_financials: Analyze financial trends across multiple years
  • search_similar_nonprofits: Find similar organizations
  • export_nonprofit_data: Format data for CRM import

Data Sources

This server uses the ProPublica Nonprofit Explorer API which provides:

  • IRS Form 990 data for tax-exempt organizations
  • Organization profiles and contact information
  • Financial data and filing history
  • NTEE categorization and 501(c) status

Development

Project Structure

propublica-mcp/
├── src/
│   └── propublica_mcp/
│       ├── __init__.py
│       ├── server.py
│       ├── api_client.py
│       ├── models.py
│       └── tools/
├── tests/
├── config/
├── .github/
│   └── workflows/
├── Dockerfile
├── docker-compose.yml
├── env.example
├── requirements.txt
└── README.md

Development with Docker

Building the Docker Image

# Build the image
docker build -t propublica-mcp:dev .

# Or use docker-compose
docker-compose build

Running Development Environment

# Run with docker-compose (includes volume mounts for development)
docker-compose -f docker-compose.yml -f docker-compose.override.yml up

# Run tests in container
docker run --rm -v $(pwd):/app propublica-mcp:dev pytest tests/ -v

Environment Variables

The Docker container supports these environment variables:

  • LOG_LEVEL: Set logging level (DEBUG, INFO, WARNING, ERROR)
  • API_RATE_LIMIT: Requests per minute (default: 60)
  • PROPUBLICA_API_BASE_URL: API base URL (rarely needs changing)

Running Tests

Local Testing

# Run all tests
pytest tests/ -v

# Run with coverage
pytest tests/ -v --cov=src/propublica_mcp

Docker Testing

# Run tests in Docker
docker run --rm ghcr.io/asachs/propublica-mcp:latest \
  python -m pytest tests/ -v

# Or with docker compose
docker compose run --rm propublica-mcp pytest tests/ -v

Publishing to GitHub Container Registry

The project includes automated publishing via GitHub Actions, but you can also publish manually:

Prerequisites

  1. GitHub Personal Access Token with packages:write scope
  2. Authentication to GitHub Container Registry:
    echo $GITHUB_TOKEN | docker login ghcr.io -u YOUR_USERNAME --password-stdin
    

Automated Publishing (Recommended)

Push to the main branch or create a tag to trigger automated builds:

# Trigger build for main branch
git push origin main

# Create and push a version tag
git tag v1.0.0
git push origin v1.0.0

Manual Publishing

Use the provided script (requires local setup):

# Build and publish latest
./scripts/docker-publish.sh

# Build and publish specific version
./scripts/docker-publish.sh v1.0.0

Available Images

Once published, the images will be available at:

  • Latest: ghcr.io/asachs/propublica-mcp:latest
  • Tagged versions: ghcr.io/asachs/propublica-mcp:v1.0.0
  • Branch builds: ghcr.io/asachs/propublica-mcp:main

Contributing

  1. Follow the existing code style
  2. Add tests for new features
  3. Update documentation as needed
  4. Ensure all tests pass before submitting

License

MIT License - see LICENSE file for details

Support

For issues and questions:

  • Check the documentation
  • Review existing GitHub issues
  • Create a new issue with detailed information

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选