How to Use the BunnyDoc MCP in AutoGen

Q: How do I setup BunnyDoc tools in AutoGen?

Use the mcpservertools function to pull the server definitions and pass the list directly into your AssistantAgent. The adapter handles all necessary schema conversions.

Enable multi-agent debate for BunnyDoc signature workflows using AutoGen.

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Connect BunnyDoc MCP to AutoGen

Create your Vinkius account to connect BunnyDoc 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 BunnyDoc with AutoGen

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Debate BunnyDoc actions with AutoGen

Assign one agent to manage `create_signature_request` while another monitors `get_envelope_status` for potential issues. The agents discuss the validity of each request before committing to the action. This consensus model ensures that your document workflow is verified by different perspectives. The conversation log provides a clear record of how the agents reached their decision.

Automate signature consensus in AutoGen

Create a team of agents where one acts as the initiator and another acts as the validator for BunnyDoc templates. They negotiate the appropriate template to use based on the input parameters. This removes the need for you to manually select forms. The agents handle the negotiation and only present the final, validated request for your approval.

Manage BunnyDoc events via AutoGen

Use `subscribe_webhook` to feed signature events into your agent conversation. When an event triggers, the agents debate how to respond to the status change. Your system remains reactive to document updates without constant polling. The agents analyze the webhook payload and determine the next logical step in your multi-agent workflow.

Setup guide

Set up BunnyDoc 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 BunnyDoc 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="BunnyDoc_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent BunnyDoc 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="BunnyDoc_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

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

Use the mcp_server_tools function to pull the server definitions and pass the list directly into your AssistantAgent. The adapter handles all necessary schema conversions.

Yes, your agents can debate the results returned by tools like `get_account_info`. If one agent finds an inconsistency, the group will pause and discuss the next move.

By subscribing to webhooks, you can push signature events into the conversation stream. The agents then process these events as part of their ongoing deliberation.

You can include the tools in the toolset of any number of agents within your group chat. They will share access to the BunnyDoc API as defined by your system architecture.

All traffic between the agents and the BunnyDoc server is encrypted in transit and isolated within the V8 sandbox. We never store your signature content, ensuring that only your agents have access to the data.

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