How to Use the FOIA.gov (Freedom of Information) MCP in CrewAI

Deploy a CrewAI team to monitor and report on FOIA.gov (Freedom of Information) data.

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Connect FOIA.gov (Freedom of Information) MCP to CrewAI

Create your Vinkius account to connect FOIA.gov (Freedom of Information) 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 FOIA.gov (Freedom of Information) with CrewAI

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Perplexity

Autonomous FOIA research crews

Set up a research agent to call `list_agency_components` and a secondary analyst to process that data. CrewAI manages the collaboration between these specialists to ensure thorough investigation. Your crew can work through the entire list of agencies, identifying which components have updated request forms or new annual reports.

Specialized report processing

Assign an agent to fetch XML data using `get_annual_report_xml`. This agent can hand off the raw data to a technical agent that extracts key performance metrics. This role-based division of labor ensures that the heavy parsing work doesn't bottleneck your other agents.

Dynamic form discovery

Use an agent to audit request forms via `get_agency_component_request_form` across different agencies. The agent can flag inconsistencies in how agencies request information. By running this as a scheduled task, your team stays informed about changes in government compliance requirements without human effort.

Setup guide

Set up FOIA.gov (Freedom of Information) 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 FOIA.gov (Freedom of Information) tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent FOIA.gov (Freedom of Information) 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 FOIA.gov. 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 FOIA.gov (Freedom of Information) MCP in CrewAI

Yes. Shared memory allows your agents to remember which agency components they already checked, preventing redundant calls to the API.

The server runs in an isolated sandbox. Your agents only receive the data they specifically request, minimizing your attack surface.

The server handles the connection for you. You just point the agent at the Vinkius endpoint, and the server manages the communication.

Yes. You can use tool filtering to limit specific agents to read-only access, ensuring they can't perform unintended operations.

The server sanitizes the data before it hits your agents. Only the necessary annual report content is passed along, keeping your agents focused and secure.

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