BunnyDoc MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
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.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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.
Automated workflows: build agents that query BunnyDoc, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries BunnyDoc, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through BunnyDoc tools and transform it with OpenAI models in a single async loop
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:
add_team_member
Invite a new member to the team
create_signature_request
Create a new signature request from a template
get_account_info
Retrieve core account information
get_envelope_status
Get status of a specific signature request (envelope)
get_usage_stats
Retrieve API usage statistics
list_envelopes
List all signature requests
list_team_members
List all members of the team
list_templates
List all available document templates
subscribe_webhook
Subscribe to signature events via webhook
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.
"List all my document templates in BunnyDoc."
"Show the status of signature request env_99283."
"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.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
BunnyDoc + OpenAI Agents SDK FAQ
Common questions about integrating BunnyDoc MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect BunnyDoc with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
