How to Use the GitGuardian MCP in AutoGen

Q: How do I register the GitGuardian MCP Server tools in AutoGen?

Use mcpservertools from autogen-extmcp to load the tools from our hosted MCP endpoint. Pass the resulting tool list to your AssistantAgent to let them start collaborating.

Q: What happens if an AutoGen agent runs out of API quota?

The monitoring agent can call getquotas to check remaining requests. If quotas are low, the agents can agree to pause non-critical scans until the limit resets.

Let your AutoGen agents debate and resolve GitGuardian security alerts through automated multi-agent consensus.

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Connect GitGuardian MCP to AutoGen

Create your Vinkius account to connect GitGuardian to AutoGen 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 AutoGen

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Multi-Agent Security Triage Debates

When `list_secret_incidents` flags a leak, your agents negotiate the best path forward before taking action. A security agent can demand an immediate fix, while a developer agent evaluates the code context. They negotiate the best path forward. Once they agree, one agent calls `assign_secret_incident` to route the task, ensuring human developers only step in when a real threat requires manual intervention.

Collaborative Decoy Operations

Your agents coordinate decoy placement by suggesting a trap with `create_honeytoken` and verifying the location. They work together to ensure the decoy is placed in a high-traffic area without exposing real system credentials. If a trap is compromised, they coordinate to run `revoke_honeytoken` instantly. This multi-agent verification loop drastically cuts down on false positives before they alert your SOC.

Automated Policy Enforcement via GitGuardian MCP Server

This GitGuardian MCP Server lets your agents scan new code inputs using `scan_content` to enforce workspace hygiene. The agents discuss whether a detected string is a true positive or a test key. If they confirm a leak, they invoke `scan_and_create_incidents` to lock down the branch. This multi-agent verification loop drastically cuts down on false positives before they alert your SOC.

Setup guide

Set up GitGuardian MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes GitGuardian tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="GitGuardian_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent GitGuardian data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="GitGuardian_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent GitGuardian data")
    print(result.messages[-1].content)

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 AutoGen

Use `mcp_server_tools` from `autogen-ext[mcp]` to load the tools from our hosted MCP endpoint. Pass the resulting tool list to your `AssistantAgent` to let them start collaborating.

Yes. Once your agents reach a consensus that a leaked key has been successfully rotated, they can call `resolve_secret_incident` to close the issue.

One agent can evaluate the incident context and suggest a tag, while another executes `create_custom_tag` or `update_custom_tag_full` to apply it across your workspace.

The monitoring agent can call `get_quotas` to check remaining requests. If quotas are low, the agents can agree to pause non-critical scans until the limit resets.

Yes. All communications go through secure TLS channels. The server only accesses incident metadata and honeytoken records, ensuring your raw code payloads are never leaked during agent conversations.

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