Fedreg
БесплатноНе проверенAn MCP server that provides AI agents with access to U.S. Federal Register rules and Regulations.gov public comments, enabling searches, rule retrieval, and com
Описание
An MCP server that provides AI agents with access to U.S. Federal Register rules and Regulations.gov public comments, enabling searches, rule retrieval, and comment fetching.
README
MCP server that gives AI agents first-class access to U.S. Federal Register rules and Regulations.gov public comments.
Built by Tool Factory — Tool #1.
🌐 Live: https://fedreg-mcp.vercel.app
🔌 MCP endpoint: https://fedreg-mcp.vercel.app/api/mcp (Streamable HTTP, stateless, no auth)
What it does
Lets an agent (Claude, Cursor, ChatGPT, Goose, etc.) answer questions like:
- "What climate-disclosure rules has the SEC published this year?"
- "Show me all FDA proposed rules with open comment periods."
- "Which Federal Register rules under 40 CFR were finalized in the last 30 days?"
- "Summarize document 2026-10643 for an executive audience."
- "List rules from the DOT in the last 14 days, only final rules."
Tools
| Tool | What it does | Notes |
|---|---|---|
search_rules |
Query + agency + stage + date + CFR + pagination over Federal Register | Fuzzy agency resolution (EPA, FDA, SEC, etc.) |
get_rule |
Full canonical record for a rule by document number | Includes source URLs incl. raw-text |
list_recent |
Recent docs from an agency / across the gov't | Same envelope as search_rules |
get_comments |
Public comments on a Regulations.gov docket | Requires free REGULATIONS_GOV_API_KEY |
summarize_rule |
Executive / legal / technical summary with citations | Requires OPENROUTER_API_KEY or OPENAI_API_KEY |
Install
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"fedreg": {
"url": "https://fedreg-mcp.vercel.app/api/mcp"
}
}
}
Claude Code
claude mcp add --transport http fedreg https://fedreg-mcp.vercel.app/api/mcp
Cursor
Add to ~/.cursor/mcp.json (or .cursor/mcp.json in your project):
{
"mcpServers": {
"fedreg": {
"url": "https://fedreg-mcp.vercel.app/api/mcp"
}
}
}
Local dev
npm install
cp .env.example .env.local # optional: REGULATIONS_GOV_API_KEY, OPENROUTER_API_KEY
npm run dev # landing page on http://localhost:5173
vercel dev # full stack incl. /api/* routes
Smoke scripts (live, no env vars needed):
npx tsx scripts/smoke-fedreg.ts
npx tsx scripts/smoke-normalize.ts
Stack
- TypeScript + Vercel serverless functions
@modelcontextprotocol/sdkv1.0.4 over Web-Standard Streamable HTTP- Vite + React for the landing page
- Zod for tool schemas
tiny-lrufor in-memory caching- OpenRouter (or OpenAI) for the summarization tool
Data sources
- federalregister.gov API v1 — no auth
- regulations.gov API v4 — free key from api.data.gov
Privacy
We log structured, anonymized tool-call shapes ({ tool, args_shape, latency_ms, status, correlation_id }) — never raw query text, never PII. Used to learn what tools to build next.
License
MIT
Установка Fedreg
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/mehtaphysical13/fedreg-mcpFAQ
Fedreg MCP бесплатный?
Да, Fedreg MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Fedreg?
Нет, Fedreg работает без API-ключей и переменных окружения.
Fedreg — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Fedreg в Claude Desktop, Claude Code или Cursor?
Открой Fedreg на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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