No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by lzinga · MCP Server · ★ 109
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is us-gov-open-data-mcp safe to install? View the security audit →
US Government Open Data MCP MCP Server + TypeScript SDK for 40+ U.S. Government APIs 250+ tools covering economic, fiscal, health, education, energy, environment, lobbying, housing, patents, safety, banking, consumer protection, workplace safety, transportation, seismic, clinical trials, pharma payments, research funding, procurement, and legislative data. 22 APIs require no key · The rest use free keys that take under a minute to get Getting Started · API Reference · Documentation Quick Start MCP Server Add to for VS Code / Copilot: TypeScript SDK typescript
| Stars | 109 |
| Forks | 24 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.2255806827688/100 |
| Last Updated | 2026-09-14 |
| Created | 2026-02-24 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~15k |
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us-gov-open-data-mcp is MCP server + TypeScript SDK for 40+ U.S. government data APIs — 250+ tools. Treasury, FRED, Congress, FDA, CDC, FEC, lobbying, and many more. Works with VS Code Copilot, Claude Desktop, Cursor.. It is categorized as a MCP Server with 109 GitHub stars.
us-gov-open-data-mcp is primarily written in TypeScript. It covers topics such as api, cdc, claude.
You can find installation instructions and usage details in the us-gov-open-data-mcp GitHub repository at github.com/lzinga/us-gov-open-data-mcp. The project has 109 stars and 24 forks, indicating an active community.
us-gov-open-data-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to us-gov-open-data-mcp on Agent Skills Hub include ckan-mcp-server, mcp-canada, FirstData. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: