us-gov-open-data-mcp: MCP server + TypeScript SDK for 40+ U.S

by lzinga · MCP Server · ★ 112

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install us-gov-open-data-mcp

npx us-gov-open-data-mcp
npm install us-gov-open-data-mcp

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars112
Forks24
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score72/100
Open Issues6
Last Updated2026-10-08
Created2026-02-24
Platformsclaude-code, mcp, node
Est. Tokens~15k

About us-gov-open-data-mcp

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.

us-gov-open-data-mcp alternative? Top 6 similar tools

Looking for a us-gov-open-data-mcp alternative? If you're comparing us-gov-open-data-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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