How to Use the GovInfo MCP in CrewAI

Q: Can I filter GovInfo tools for specific agents in CrewAI?

Yes. You can use the toolfilter option to restrict an agent to only use searchdocuments while giving another agent access to the full suite of GovInfo tools.

Deploy autonomous research crews in CrewAI using this GovInfo MCP Server for verified legal and regulatory analysis.

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Connect GovInfo MCP to CrewAI

Create your Vinkius account to connect GovInfo 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 GovInfo with CrewAI

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Coordinate specialized agents with GovInfo

Assign one agent to `search_documents` while another focuses on `get_package_summary` for deep analysis. CrewAI manages the collaboration, ensuring the research phase is separated from the summarization phase. Shared memory allows the summarizing agent to pick up exactly where the search agent left off. You get a cohesive report without needing to orchestrate the handoff yourself.

Scale regulatory monitoring with this MCP Server

Use a crew of agents to scan specific collections via `list_collections` and `get_collection`. You can have one agent monitor the legal archive while another monitors the regulatory archive. This division of labor increases the throughput of your research operations. Each agent operates independently, reducing the time required to digest high volumes of government text.

Automate document provenance in CrewAI

Configure your agents to call `get_related_documents` automatically when they find a primary source. This builds a complete audit trail for every piece of information the crew processes. Your agents verify the source by checking the metadata returned by `get_granule_summary`. This ensures that every claim is backed by official government documentation.

Setup guide

Set up GovInfo 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 GovInfo tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent GovInfo 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="GovInfo Analyst",
        goal="Access and analyze GovInfo data via MCP.",
        backstory="Expert analyst with direct GovInfo access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent GovInfo 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 GovInfo. 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 GovInfo MCP in CrewAI

Yes. You can use the `tool_filter` option to restrict an agent to only use `search_documents` while giving another agent access to the full suite of GovInfo tools.

CrewAI uses shared memory to store findings. When one agent finds a document, others can reference that package ID to pull summaries or granules.

Yes, you can define a sequence where the first agent retrieves a list of documents and the next agent processes each one. This is perfect for batch research tasks.

The server supports multiple transports including stdio. You can configure your agents to communicate with the server directly over the standard input/output stream.

The server processes queries for public documents only. Your search patterns and history remain within your local environment and are never leaked to the government data provider.

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