fedreg-mcp

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/sdk v1.0.4 over Web-Standard Streamable HTTP
• Vite + React for the landing page
• Zod for tool schemas
• tiny-lru for 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