How to Use the Federal Register API MCP in CrewAI

Q: Can I restrict which Federal Register API tools each agent uses in CrewAI?

Yes. Use the toolfilter property to give specific tools to specific agents. This ensures your researcher can search, but only your analyst can pull full details.

Deploy a specialized crew of agents to parse government documents using the Federal Register API.

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Connect Federal Register API MCP to CrewAI

Create your Vinkius account to connect Federal Register API to CrewAI 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 API with CrewAI

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Perplexity

Multi-Agent Regulatory Research

Assign a researcher agent to use `search_federal_documents` while your analyst agent uses `get_federal_document_details` to summarize the findings. This division of labor makes short work of massive document sets. Your crew handles the heavy lifting, passing context back and forth until the job is done.

System Health Oversight

Give your monitor agent access to `check_api_status`. If the service goes down, the crew can pause its current task and report the issue to your human supervisor. It prevents your agents from wasting cycles on a broken connection. Your operations stay clean and efficient.

Targeted Agency Surveillance

Use `list_federal_agencies` to define the scope for your monitoring agents. You can tell your crew exactly which departments to watch, ensuring they don't get distracted by irrelevant data. This keeps your agents focused on the rules that actually matter to your business. You get precise reports instead of broad, noisy alerts.

Setup guide

Set up Federal Register API MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Federal Register API tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Federal Register API Analyst",
    goal="Access and analyze Federal Register API data via MCP.",
    backstory="Expert analyst with direct Federal Register API access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Federal Register API transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Federal Register API Analyst",
        goal="Access and analyze Federal Register API data via MCP.",
        backstory="Expert analyst with direct Federal Register API access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Federal Register API transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

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 API MCP in CrewAI

You define the tools in the agent configuration. CrewAI handles the delegation, so your researcher can call the Federal Register API and hand the results to the writer agent.

Yes. Use the tool_filter property to give specific tools to specific agents. This ensures your researcher can search, but only your analyst can pull full details.

You pass the Vinkius URL directly into the mcps list for your agents. CrewAI detects the protocol and sets up the connection automatically.

The agents share the context of the tools they use. When one agent searches the Federal Register API, the others can see the output in the session memory.

The server only reads public regulatory text and agency metadata. Your CrewAI agents never handle private credentials or internal user records through this integration.

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