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How to Use the GovCon API MCP in CrewAI

Deploy a multi-agent team to analyze federal bids using CrewAI and this specialized MCP Server.

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CrewAI

Connect GovCon API MCP to CrewAI

Create your Vinkius account to connect GovCon 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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Collaborative contract hunting in CrewAI

Stop relying on a single prompt to find federal work. Setting up an MCP connection with CrewAI lets you run `search_government_contracts` with a research agent while an analyst agent evaluates the results. This collaborative approach ensures that opportunities are vetted from multiple angles. The agents share memory, so the analyst always has context on why a specific contract was flagged.

Multi-agent agency verification

Assign a specialized agent to manage agency relationships. This agent uses the MCP Server to run `list_government_agencies` and keep an updated directory of active departments. When a new bid is found, the agency manager verifies the buyer's credentials. It then passes the verified data to your writing agent to draft the initial response.

Deep procurement parsing

Federal documents are dense and confusing. Use `get_procurement_details` to retrieve the full scope of work, deadlines, and set-aside requirements. Your crew breaks down the requirements document, assigns tasks to specialized agents, and compiles a clean summary of what it takes to win the contract.

Setup guide

Set up GovCon API MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

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

crew.py
from crewai import Agent, Task, Crew

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

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

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

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GovCon API MCP in CrewAI

Install the package using `pip install crewai "crewai[tools]"`. You can then pass the server URL directly into your agent's `mcps` list for immediate tool access.
Yes, you can. Use the `MCPServerHTTP` class from the framework to filter tools, ensuring your research agent only runs searches while your analyst agent handles detail retrieval.
They use sequential or hierarchical execution. One agent runs `search_government_contracts` to find bids, and then automatically passes the contract IDs to the next agent for detailed analysis.
You can have a supervisor agent execute `check_api_status` as its first task. If the endpoint is down, the crew can pause execution instead of wasting API tokens on failed requests.
All contract details and agency lists are processed locally within your execution environment. The server uses an ephemeral sandbox that prevents any leak of your target search keywords or bid evaluations.

Start using the GovCon API MCP today

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