How to Use the Federal Register MCP in Mastra AI

Q: How do I require human approval before fetching Federal Register documents in Mastra AI?

You set requireToolApproval to true on the agent configuration for getdocument inside the MCP client. This pauses the Mastra AI workflow and waits for a human signature before pulling the official filing text.

Q: How do Mastra AI agents handle multiple Federal Register document IDs?

You feed the list of IDs directly into getmultipledocuments within your workflow step. The Mastra AI agent processes the resulting documents sequentially or in parallel, depending on how you configure the step.

Build reliable background workflows to track Federal Register rule changes using Mastra AI agents.

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Connect Federal Register MCP to Mastra AI

Create your Vinkius account to connect Federal Register to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Federal Register with Mastra AI

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Automate Public Inspection Monitoring

Don't poll the government API manually. Mastra AI agents use `get_public_inspection_by_date` inside automated loops to watch for new Federal Register filings the second they are posted. If the network hiccups, Mastra's built-in retry engine handles the failure with exponential backoff. Your workflow remains active, ensuring you never miss a critical Federal Register filing from `get_current_public_inspection`.

Build Multi-Step Workflows with this MCP Server

Connect your Mastra AI agentic workflows directly to official government data using this MCP client. Use `list_agencies` to identify target federal bodies, then branch your logic based on what the agent finds in the Federal Register. If an agency of interest publishes a new rule, the Mastra AI workflow triggers `get_document` to pull the full text. You can set up human-in-the-loop approval before forwarding the regulatory text to your legal team.

Deep Search and Filter Regulatory Changes

Build complex Mastra AI decision trees that analyze policy shifts over time. Your Mastra agents can execute `search_public_inspection` to find early-stage proposals in the Federal Register before they become final rules. The Mastra AI agent takes those results, calls `get_agency` to verify the authority, and flags high-impact changes. This turns unstructured daily Federal Register filings into actionable compliance alerts automatically.

Setup guide

Set up Federal Register MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Federal Register tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "federal-register-mcp-client",
  servers: {
    "federal-register-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Federal Register Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Federal Register tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Federal Register transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Federal Register. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Federal Register MCP in Mastra AI

Yes, Mastra AI has native retry mechanisms that handle API rate limits. If `search_documents` fails due to temporary network issues, the system retries the request automatically.

You set `requireToolApproval` to true on the agent configuration for `get_document` inside the MCP client. This pauses the Mastra AI workflow and waits for a human signature before pulling the official filing text.

Absolutely, you can deploy the entire workflow to any cloud provider with a single command. The Mastra AI agent will run background checks using `get_current_public_inspection` on a schedule you define.

You feed the list of IDs directly into `get_multiple_documents` within your workflow step. The Mastra AI agent processes the resulting documents sequentially or in parallel, depending on how you configure the step.

Your agency queries and document IDs are processed in an isolated MCP runtime environment with zero persistent storage. This ensures that your proprietary list of monitored agencies and compliance rules never leaks.

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