How to Use the BunnyDoc MCP in OpenAI Agents SDK

Q: How does BunnyDoc handle API usage limits inside OpenAI Agents SDK?

Call getusagestats to track your consumption. You can build logic into your agent to pause or throttle requests if you approach your billing thresholds.

Get signature requests moving in your OpenAI Agents SDK workflow without leaving your Python code.

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Connect BunnyDoc MCP to OpenAI Agents SDK

Create your Vinkius account to connect BunnyDoc to OpenAI Agents SDK 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 OpenAI Agents SDK

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Automate document workflows with OpenAI Agents SDK

Trigger signature requests directly from your agent logic using `create_signature_request`. You define the template, and the agent handles the heavy lifting of sending documents to the right people. Your production agent relies on these tools to keep processes moving. It uses `list_templates` to find the correct document format before initializing any signature workflow.

Track envelope status via OpenAI Agents SDK

Poll the current state of any document using `get_envelope_status`. Your agent gets a clear picture of what is signed and what is still waiting on a signature. This MCP server gives your agent the ability to monitor progress in real-time. You can use `list_envelopes` to audit your queue and ensure no document gets stuck in limbo.

Manage your team within OpenAI Agents SDK

Onboard new users to your document flow by calling `add_team_member`. Your agent maintains your organizational structure by adding people as needed without manual intervention. Check your current roster anytime with `list_team_members`. It keeps your agent informed about who is active and authorized to handle documents within your environment.

Setup guide

Set up BunnyDoc MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all BunnyDoc tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives BunnyDoc tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate BunnyDoc tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="BunnyDoc Agent",
            instructions="You have access to BunnyDoc tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Install the necessary packages and instantiate the MCPServerStreamableHttp class with your endpoint. Pass this object into your agent constructor to let the system auto-discover your tools.

Yes, the server is built for async usage. You should wrap your calls in an async context manager to keep your agent pipeline responsive during long document operations.

You control the tool list through your agent configuration. By managing your server parameters, you decide exactly which BunnyDoc capabilities your agent can touch.

Call `get_usage_stats` to track your consumption. You can build logic into your agent to pause or throttle requests if you approach your billing thresholds.

Your signature data stays within your controlled environment. We only process the envelope IDs and metadata required to track document status, and every connection is secured via authenticated tokens.

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