US Government Open Data MCP

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Features

• 300+ tools across 40+ government APIs — economic, health, legislative, financial, environmental, and more
• Cross-referencing — built-in instructions guide the LLM to combine data from multiple agencies (e.g., FDA adverse events + lobbying spend + campaign contributions)
• Code mode — WASM-sandboxed JavaScript execution reduces context window usage by 98-100% for large responses
• Selective loading — load only the modules or domains you need: --modules fred,treasury,congress or --domains economy,health
• Discovery mode — --tool-mode discovery lists 4 tools instead of 350; the model searches for the one it needs
• Sources on every result — meta.sources lists the upstream API requests behind each answer
• Dual transport — stdio for desktop clients, HTTP Stream for web/remote (bearer-token auth off loopback)
• TypeScript SDK — every API is importable as a standalone typed client, no MCP required
• Disk-backed caching — responses cached to disk, survives restarts
• Rate limiting + retry — token-bucket rate limiter with exponential backoff on 429/503

Quick Start

MCP Server

Requires Node.js 22 or later.

npx us-gov-open-data-mcp

Add to .vscode/mcp.json for VS Code / Copilot:

{
  "servers": {
    "us-gov-open-data": {
      "command": "npx",
      "args": ["-y", "us-gov-open-data-mcp"],
      "env": {
        "FRED_API_KEY": "your_key",
        "DATA_GOV_API_KEY": "your_key"
      }
    }
  }
}

Add to claude_desktop_config.json for Claude Desktop:

{
  "mcpServers": {
    "us-gov-open-data": {
      "command": "npx",
      "args": ["-y", "us-gov-open-data-mcp"],
      "env": {
        "FRED_API_KEY": "your_key",
        "DATA_GOV_API_KEY": "your_key"
      }
    }
  }
}

Example Prompts

Once connected, ask your AI assistant natural language questions:

Economic: "What's the current state of the U.S. economy? Show me GDP, unemployment, inflation, and interest rates."

Health: "Show me the adverse event profile for Ozempic including clinical trials, FDA reports, and pharma payments to doctors."

Legislative: "What happened with the Inflation Reduction Act? Who sponsored it, how did the vote break down by party?"

Follow the money: "Which banking PACs gave money to members of the Senate Banking Committee, and how did those members vote on banking deregulation?"

Cross-reference: "How has federal spending on healthcare changed over the last 5 years, and what health outcomes has it produced?"

TypeScript SDK

npm install us-gov-open-data-mcp

import { getObservations } from "us-gov-open-data-mcp/sdk/fred";
import { searchBills } from "us-gov-open-data-mcp/sdk/congress";

const gdp = await getObservations("GDP", { sort: "desc", limit: 5 });

No MCP server required. All functions include caching, retry, and rate limiting.

Documentation

Full documentation at lzinga.github.io/us-gov-open-data-mcp

Getting Started	MCP setup, SDK install, client configs
API Keys	Which APIs need keys, where to get them
Data Sources	All 40+ APIs grouped by category
API Reference	Auto-generated from TypeScript — every function and type
Examples	SDK code, MCP prompts, analysis showcases
Architecture	How the system works
Adding Modules	Add a new API — just create a folder

Data Sources

Category	APIs
Economic	Treasury, FRED, BLS, BEA, EIA
Legislative	Congress.gov, Federal Register, GovInfo, Regulations.gov
Financial	FEC, Senate Lobbying, SEC, FDIC, CFPB
Spending & Procurement	USAspending, Open Payments, GSA CALC+
Health & Safety	CDC, FDA, CMS, ClinicalTrials.gov, NIH, NHTSA, DOL
Environment & Weather	EPA, EPA AQS, NOAA, NWS, NREL, USGS
Justice	FBI Crime Data, DOJ News
Education & Research	NAEP, College Scorecard, USPTO
Demographics	Census, HUD, FEMA
Other	BTS, USDA NASS, USDA FoodData, World Bank

Disclaimer

This project integrates a significant number of government APIs, many of which have large, complex, or inconsistently documented schemas. AI is used as a tool throughout this project to help parse API documentation, generate type definitions, and scaffold tool implementations — making it possible to cover this much surface area and get people access to government data faster than would otherwise be feasible. While every effort has been made to ensure accuracy, some endpoints may return unexpected results, have incomplete parameter coverage, or behave differently than documented.

This is a community-driven effort — if you find something that's broken or could be improved, please open an issue or submit a PR. Contributions that fix edge cases, improve schema accuracy, or expand coverage are especially welcome. The goal is to make U.S. government data as accessible and reliable as possible, together.

All data is sourced from official U.S. government and international APIs — the server does not generate, modify, or editorialize any data.

License

MIT