Federal Register — US Government Regulatory Documents

The Federal Register is the official daily publication of US federal proposed rules, final rules, notices, executive orders, and presidential documents. Every regulatory action — proposed and adopted — flows through it. Free, no auth, full-text searchable.

Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.

Why this matters for AI agents

For regulatory landscape mapping, agents need to answer questions like "what rules are pending that affect industry X?" or "did the EPA finalize the proposed standard?" Federal Register is the canonical source. The data is structured by agency, document type, comment period, effective date.

Common flows:

• Search. search_documents({query: "EV charging tax credit"}) → matching documents.
• Specific document. get_document({number: "2024-12345"}) → full record including PDF link and comment-period status.
• By agency. Filter to documents from EPA, SEC, NHTSA, etc.
• Comment-period status. Find rules currently open for public comment.

Used by the regulatory_landscape, lobbying_activity, and environmental_risk recipes.

Auth

None. Federal Register API is fully public.

Document types

For agent-driven regulatory monitoring, the proposed-rule category is highest signal.

Comment periods

Proposed rules have a public comment window (typically 30–60 days). The comments_close_on field tells you when. Companies that want to influence a rule submit comments via Regulations.gov before that date.

Common pitfalls

• CFR citations. Proposed and final rules amend the Code of Federal Regulations (e.g., "40 CFR 80.40"). The Federal Register record has the action; the CFR has the resulting text. For "what does the rule actually require," follow the CFR citation.
• Withdrawal + republish. Agencies sometimes withdraw a proposed rule and republish a substantially-identical version with minor changes. Track the withdrawal note to avoid double-counting.
• Significant vs non-significant. Rules tagged "significant regulatory action" go through OMB review. "Non-significant" rules don't. The classification doesn't always match impact — search for substance, not status.
• NAICS-level relevance. Proposed rules often reference industry codes. To find rules affecting a specific industry, search NAICS code as part of the query, not just keywords.
• Lag. Documents publish on weekdays around 9 AM Eastern. Federal Register's API surfaces them within a few hours. For breaking-rule news, layer Bloomberg or Politico on top.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "federal-register": {
      "url": "https://gateway.pipeworx.io/federal-register/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/federal-register/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1476+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Federal Register data" })

The gateway picks the right tool and fills the arguments automatically.

More

• Docs and guides
• pipeworx.io

License

MIT