How to Use the GitGuardian MCP in CrewAI

Deploy specialized security crews with CrewAI to monitor incidents and manage honeytokens across your architecture.

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Connect GitGuardian MCP to CrewAI

Create your Vinkius account to connect GitGuardian 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 GitGuardian with CrewAI

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CrewAI security monitoring teams

Assign a monitor agent to watch for leaks using `list_secret_incidents`. It identifies patterns that require immediate attention. A secondary analyst agent then reviews the findings. This collaboration reduces the noise of false positives.

Automated honeytoken deployment via CrewAI

Task your agents with maintaining a decoy network. They use `create_honeytoken` to distribute traps and track their status. If an event triggers, the moderator agent takes action. It uses `revoke_honeytoken` to contain the threat immediately.

Multi-agent audit logging for CrewAI

Keep a record of all security actions. The agents use `list_audit_logs` to maintain a history of workspace activity. This provides a clear trail of who accessed what. It ensures compliance across your entire incident response cycle.

Setup guide

Set up GitGuardian 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 GitGuardian tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Yes. Pass the MCP server URL to your agent definition. The crew will gain access to the full suite of 49 detection and management tools.

Use the tool filtering feature in your agent setup. This ensures the researcher agent only sees `list_secret_incidents` while the moderator handles resolution.

Agents share context through the crew's memory. Findings from one scan are available to other agents, preventing duplicate work.

All logs are fetched via encrypted channels. No raw secrets are stored in the agent's memory; only metadata and incident IDs are tracked.

You define the ranking logic in your agents. They fetch incident details and apply your custom criteria to decide which to resolve first.

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