How to Use the Hookdeck MCP in AutoGen

Q: How do I configure Hookdeck tools for AutoGen?

Install the autogen-extmcp package. Use mcpservertools with your endpoint URL and pass the resulting list directly into your AssistantAgent constructor.

Q: How does the agent know if a retry succeeded?

The agent calls getattempt after firing a retry. It reads the specific HTTP status code of the new delivery attempt to verify success.

Let your AutoGen agents debate and resolve webhook delivery failures automatically using Hookdeck.

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Connect Hookdeck MCP to AutoGen

Create your Vinkius account to connect Hookdeck 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 Hookdeck with AutoGen

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Give your AutoGen agents the Hookdeck MCP Server

The Hookdeck MCP Server arms your multi-agent system with 52 distinct webhook controls. You give one agent access to `list_connections` and `get_metrics_queue_depth` to act as the monitoring system. It watches the pipes and flags anomalies. When the queue backs up, a secondary operations agent steps in. They debate the cause, check the exact failure logs via `get_attempt`, and agree on a remediation plan before touching the live infrastructure.

Negotiate payload transformations

Your agents use `test_transformation` to validate new JSON structures before pushing them live. Fixing a broken webhook often requires mutating the payload. A developer agent writes a new JavaScript mutation to match the expected schema. A security agent reviews the proposed code to ensure no sensitive fields are exposed. Once both agents reach consensus, they execute `update_transformation` to deploy the fix to production.

Automate incident response and retries

Your incident agent pulls failed delivery data using `get_request` to diagnose transient network errors. You stop waking up for basic timeouts. It analyzes the HTTP 500 error and decides if a retry makes sense. If the service is back online, the agent fires `retry_request` to clear the backlog. If the endpoint is dead, it calls `pause_connection` to stop the bleeding and alerts your team.

Setup guide

Set up Hookdeck 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 Hookdeck 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="Hookdeck_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

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

Get your connection token →

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="Hookdeck_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Hookdeck 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 Hookdeck. 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 Hookdeck MCP in AutoGen

Install the autogen-ext[mcp] package. Use mcp_server_tools with your endpoint URL and pass the resulting list directly into your AssistantAgent constructor.

Yes. You distribute specific tools to different agents. Give read-only tools to your analyst agent and restrict modification tools to your lead engineer agent.

Modifying live webhook routes is dangerous. Forcing a debate between a performance agent and a reliability agent ensures you avoid dropping traffic while trying to fix a minor latency issue.

The agent calls `get_attempt` after firing a retry. It reads the specific HTTP status code of the new delivery attempt to verify success.

Your agents read and modify live destination URLs and API keys. The Vinkius infrastructure isolates these operations entirely within a single-use sandbox, guaranteeing your authentication secrets remain strictly within your active session.

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