How to Use the LicenseCheck API MCP in CrewAI

Deploy autonomous license audit crews using this MCP Server and CrewAI.

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Connect LicenseCheck API MCP to CrewAI

Create your Vinkius account to connect LicenseCheck 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 LicenseCheck API with CrewAI

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Perplexity

Autonomous dependency audits in CrewAI

Assign a researcher agent to call `list_all_licenses` while a moderator agent checks the results. They work together to map your entire project's legal status. Your crew functions as an independent compliance team. They find the risks so you don't have to scan every file yourself.

Tool-based specialization for CrewAI

Give your agents access to `check_software_license` to verify individual components. Each agent in the crew handles a specific part of the audit process. This specialization keeps your agents focused. It ensures the right agent is doing the right work at the right time.

Operational health monitoring in CrewAI

Use `check_api_status` as a heartbeat check for your crew. If the connection drops, the monitor agent alerts the rest of the team to halt operations. It prevents your agents from acting on stale data. You maintain control over the entire execution pipeline.

Setup guide

Set up LicenseCheck 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 LicenseCheck API tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

You pass the server URL into the agent's MCP list. Once connected, the tools become available for any agent in your crew to use.

Yes, the server supports concurrent requests. Your agents share the same connection to query license data and build their collective report.

You can use the standard HTTP transport for simple setups. For more control, use the dedicated server classes to filter which tools your agents see.

You define a monitor agent to watch the tool outputs. If a query fails, the agent handles the escalation according to your custom rules.

The server only receives package identifiers and versions. It has no access to your project code or system files, keeping your data siloed.

Use it with your favorite AI tools

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