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BunnyDoc MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect BunnyDoc through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="BunnyDoc Assistant",
            instructions=(
                "You help users interact with BunnyDoc. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from BunnyDoc"
        )
        print(result.final_output)

asyncio.run(main())
BunnyDoc
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About BunnyDoc MCP Server

Connect your BunnyDoc account to any AI agent and orchestrate your eSignature workflows, document lifecycle, and team collaboration through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from BunnyDoc through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries BunnyDoc, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Signature Requests — Trigger new document signature requests using pre-defined templates directly from your workspace.
  • Status Oversight — Monitor the real-time status of envelopes (Draft, Sent, Signed, Completed) using natural language.
  • Template Management — List all available document templates to ensure consistency in your signing workflows.
  • Team Coordination — Access your directory of team members and invite new collaborators to the platform.
  • Webhook Automation — Subscribe to lifecycle events (viewed, signed, completed) to automate your back-office response.
  • Document Auditing — Retrieve detailed metadata and audit trails for any envelope ID straight from your workspace.

The BunnyDoc MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect BunnyDoc to OpenAI Agents SDK via MCP

Follow these steps to integrate the BunnyDoc MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from BunnyDoc

Why Use OpenAI Agents SDK with the BunnyDoc MCP Server

OpenAI Agents SDK provides unique advantages when paired with BunnyDoc through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

BunnyDoc + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the BunnyDoc MCP Server delivers measurable value.

01

Automated workflows: build agents that query BunnyDoc, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries BunnyDoc, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through BunnyDoc tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query BunnyDoc to resolve tickets, look up records, and update statuses without human intervention

BunnyDoc MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect BunnyDoc to OpenAI Agents SDK via MCP:

01

add_team_member

Invite a new member to the team

02

create_signature_request

Create a new signature request from a template

03

get_account_info

Retrieve core account information

04

get_envelope_status

Get status of a specific signature request (envelope)

05

get_usage_stats

Retrieve API usage statistics

06

list_envelopes

List all signature requests

07

list_team_members

List all members of the team

08

list_templates

List all available document templates

09

subscribe_webhook

Subscribe to signature events via webhook

10

unsubscribe_webhook

Remove a webhook subscription

Example Prompts for BunnyDoc in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with BunnyDoc immediately.

01

"List all my document templates in BunnyDoc."

02

"Show the status of signature request env_99283."

03

"Send the 'NDA' template to Jane Smith (jane@example.com)."

Troubleshooting BunnyDoc MCP Server with OpenAI Agents SDK

Common issues when connecting BunnyDoc to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

BunnyDoc + OpenAI Agents SDK FAQ

Common questions about integrating BunnyDoc MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect BunnyDoc to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.