USA Spending MCP Server

⚠️ DISCLAIMER: This is a proof of concept and is not intended for production use.

An MCP server for interacting with the USAspending.gov API, with optional login.gov authentication for cloud deployment.

Requirements

• Python 3.11+
• uv

Installation

Quick Install

uv tool install git+https://github.com/GSA-TTS/usa-spending-mcp-server

Development Setup

git clone https://github.com/GSA-TTS/usa-spending-mcp-server
cd usa-spending-mcp-server
uv sync --dev

Running Modes

The server supports two modes:

Local Setup (Claude Desktop)

1. Get the installed tool path:

   which usa-spending-mcp-server
   

2. Add to your Claude MCP config (~/.claude/claude_desktop_config.json):

   {
     "mcpServers": {
       "usa-spending": {
         "command": "/path/to/usa-spending-mcp-server"
       }
     }
   }
   

HTTP Server with Login.gov Authentication

The HTTP server uses login.gov OIDC with PKCE for authentication, suitable for cloud.gov deployment.

Environment Variables

Login.gov Setup

1. Register at partners.login.gov
2. Create a new OIDC application:
   • Protocol: OpenID Connect with PKCE (public client)
   • Redirect URI: {BASE_URL}/auth/callback
3. Note your client ID for LOGINGOV_CLIENT_ID

Running Locally

Without authentication (development):

uv run task dev

With authentication:

export BASE_URL=http://localhost:8080
export LOGINGOV_CLIENT_ID=your-client-id
export JWT_SIGNING_KEY=$(python -c "import secrets; print(secrets.token_hex(32))")
uv run task dev-auth

Cloud.gov Deployment

1. Set environment variables:

   cf set-env usa-spending-mcp-server BASE_URL https://usa-spending-mcp.app.cloud.gov
   cf set-env usa-spending-mcp-server LOGINGOV_CLIENT_ID your-client-id
   cf set-env usa-spending-mcp-server JWT_SIGNING_KEY your-signing-key
   

2. Deploy:

   cf push
   

Development

Available Tasks

uv run task dev          # Run HTTP server without auth
uv run task dev-auth     # Run HTTP server with auth
uv run task lint         # Check code with ruff
uv run task lint-fix     # Fix linting issues
uv run task format       # Format code with ruff
uv run task test         # Run tests
uv run task test-cov     # Run tests with coverage
uv run task ci           # Run all CI checks

Code Quality

This project uses ruff for linting and formatting.

LLM-Based Evals (Optional)

For local testing of tool behavior using mcp-evals:

cd evals
npm install
ANTHROPIC_API_KEY=your-key npm run eval

See evals/README.md for details.

Project Structure

src/
  usa_spending_mcp_server/
    server.py        # stdio MCP server (Claude Desktop)
    server_http.py   # HTTP server with auth (cloud.gov)
    auth.py          # login.gov OIDC authentication
tests/               # Python unit tests
evals/               # LLM-based evals (optional)
manifest.yml         # cloud.gov deployment config
pyproject.toml