LangChainFramework

Regulations.gov (eRulemaking) MCP Server

Bring Federal Regulations
to LangChain

Name: Regulations.gov (eRulemaking) MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect Regulations.gov (eRulemaking) to LangChain and start using 6 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get CommentGet DocketGet DocumentSearch CommentsSearch DocketsSearch Documents

Unlock for AI Agents

Ask AI about this MCP Server ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

Claude

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Cursor

Gemini

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VS Code

JetBrains

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+ other MCP clients

What is the Regulations.gov (eRulemaking) MCP Server?

Connect your AI agent to the Regulations.gov database to navigate the US federal rulemaking process with ease. This server provides direct access to the eRulemaking Program, allowing you to monitor legislative changes and public discourse across hundreds of federal agencies.

What you can do

Document Search — Find rules, proposed rules, and notices using keywords, agency IDs, or specific posting dates.
Public Comments — Retrieve and analyze public feedback submitted to federal agencies to understand community sentiment on specific regulations.
Docket Tracking — Access complete docket folders containing all supporting materials and related documents for specific rulemaking actions.
Deep Metadata — Fetch detailed information about document types, comment periods, and modification histories to stay ahead of regulatory deadlines.

How it works

Subscribe to this server
Enter your Regulations.gov API Key
Start querying federal data from Claude, Cursor, or any MCP-compatible client

Stay informed about government transparency and regulatory updates without manually browsing complex government portals. Your AI acts as a specialized regulatory analyst.

Built-in capabilities (6)

get_comment

Get details for a specific comment

get_docket

Get details for a specific docket

get_document

Get details for a specific document

search_comments

Search public comments

search_dockets

Search dockets

search_documents

Search for documents (rules, notices, etc.)

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with Regulations.gov (eRulemaking) through native MCP adapters. Connect 6 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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The largest ecosystem of integrations, chains, and agents. combine Regulations.gov (eRulemaking) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Regulations.gov (eRulemaking) queries for multi-turn workflows

See it in action

Regulations.gov (eRulemaking) in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

Regulations.gov (eRulemaking) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Regulations.gov (eRulemaking) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for Regulations.gov (eRulemaking) in LangChain

The Regulations.gov (eRulemaking) MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 6 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full Regulations.gov (eRulemaking) details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures
Regulations.gov (eRulemaking) for LangChain

Every tool call from LangChain to the Regulations.gov (eRulemaking) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I filter documents by a specific government agency?

Use the search_documents tool and provide the agencyId parameter (e.g., 'EPA', 'FAA', or 'CMS'). This will restrict the results to materials published only by that specific agency.

Is it possible to see what the public is saying about a specific rule?

Yes! Use the search_comments tool with the commentOnId parameter set to the unique Document ID. You can then use get_comment with a specific Comment ID to read the full text of any submission.

How do I get the complete history of a specific rulemaking folder?

Use the get_docket tool with the specific Docket ID. This retrieves the primary metadata for the docket, while search_documents with the same docket ID can list all associated rules and supporting materials.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.