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  3. U.S. Government Open Data
U.S. Government Open Data logo
Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 10:17:33 PM

U.S. Government Open Data

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository112 GitHub StarsTotal stargazers on GitHub for the source repository (112 stars).Visit Website
government-dataopen-dataapistypescriptdata-analysis

Access 300+ tools for querying 40+ U.S. government APIs across economic, health, legislative, financial, and environmental data.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

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Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "u-s-government-open-data": {
      "command": "npx",
      "args": [
        "-y",
        "us-gov-open-data-mcp"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

The U.S. Government Open Data MCP server connects AI assistants to 40+ U.S. government APIs through more than 300 tools. It supports stdio for desktop clients and streamable HTTP for web or remote deployments, with optional bearer-token authentication outside loopback. Use it to query official data across areas such as economics, health, legislation, spending, energy, safety, and research, or combine sources for cross-agency analysis. Selective loading, discovery mode, caching, retries, and a TypeScript SDK help control tool count and API behavior.

Use cases

β€’Compare economic indicators from federal data sources
β€’Investigate legislation, sponsors, and voting records
β€’Analyze healthcare events, trials, and payments
β€’Trace federal spending, lobbying, and campaign contributions
β€’Query environmental, disaster, and public-safety data

Key features

β€’300+ tools across 40+ APIs
β€’Cross-agency data referencing
β€’Selective module and domain loading
β€’Discovery mode for tool search
β€’Stdio and streamable HTTP transports
β€’TypeScript SDK with caching and retries

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by U.S. Government Open Data.

Extracted Tool Capabilities
300+ tools across 40+ APIs
Cross-agency data referencing
Selective module and domain loading
Discovery mode for tool search
Stdio and streamable HTTP transports
TypeScript SDK with caching and retries

How U.S. Government Open Data works

What U.S. Government Open Data does

The U.S. Government Open Data MCP server exposes data from more than 40 government and international APIs through over 300 MCP tools. Its coverage includes economic indicators, federal spending, procurement, congressional and regulatory records, health and clinical research, financial activity, energy, environmental measurements, disasters, education, transportation, public safety, housing, patents, and workplace safety.

The U.S. Government Open Data MCP server is suited to questions that require current or historical information from official sources. Examples include comparing GDP and unemployment, examining legislation and voting records, finding FDA adverse-event data, reviewing federal awards, or combining health, lobbying, and campaign-finance records. Results include source metadata identifying the upstream API requests used.

How it works

The package runs as an MCP server over stdio for desktop integrations or over streamable HTTP for web and remote use. HTTP deployments can use bearer-token authentication when accessed outside loopback. Node.js 22 or newer is required for the server.

Tool exposure can be narrowed by loading selected modules, such as FRED, Treasury, or Congress, or by choosing broader domains such as economy or health. Discovery mode exposes four search-oriented tools instead of the full tool set, allowing the model to locate the operation it needs without loading hundreds of tools into the conversation. Code mode provides WASM-sandboxed JavaScript execution for handling large responses with less context usage.

Responses are cached on disk so cached data can persist across restarts. Requests use token-bucket rate limiting and exponential backoff for HTTP 429 and 503 responses. The project also includes a TypeScript SDK, so API clients can be used directly without starting an MCP server.

Setup and configuration

Start the MCP server with:

Terminal
npx us-gov-open-data-mcp

Some APIs work without credentials, while others require free API keys. The README's example configuration provides FRED_API_KEY and DATA_GOV_API_KEY; the required keys depend on which data sources are used. Configure the command in VS Code's .vscode/mcp.json or Claude Desktop's claude_desktop_config.json.

For direct TypeScript use, install the package with npm install us-gov-open-data-mcp and import clients from SDK modules such as sdk/fred or sdk/congress. SDK functions include caching, retry behavior, and rate limiting.

Tools and capabilities

  • Query economic, fiscal, health, legislative, environmental, financial, demographic, and research APIs.
  • Cross-reference information from multiple agencies in one investigation.
  • Restrict loaded tools by module or domain.
  • Search for tools through discovery mode.
  • Inspect upstream request sources in result metadata.
  • Use typed TypeScript API clients without MCP.

Limitations and notes

The U.S. Government Open Data MCP server covers many APIs with different schemas, documentation quality, endpoint behavior, and parameter support. Some endpoints may return unexpected results or have incomplete coverage. Validate important findings against the cited upstream sources.

The project states that it passes through data from official U.S. government and international APIs rather than generating, modifying, or editorializing it. API credentials are not uniformly required: more than 20 APIs reportedly need no key, while the remaining services use free keys. The project is community-driven, so implementation issues and schema mismatches may require checking the repository or opening an issue.

Read the full README β†’View source on GitHub β†’

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Frequently Asked Questions about U.S. Government Open Data

U.S. Government Open Data is an MCP server that connects AI assistants to more than 40 U.S. government and international APIs. Its main tools query economic, health, legislative, financial, environmental, spending, and research data, with over 300 operations, source metadata, caching, rate limiting, and optional cross-agency analysis.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars112
GitHub Star CountTotal stargazers on GitHub representing community popularity (112 stars).
43Quality signal: Fair Β· 43/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools17/30
Adoption & activity5/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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