How to Use the PandaDoc MCP in OpenAI Agents SDK

Q: How do I monitor PandaDoc document status in OpenAI Agents SDK?

Use the listdocuments tool to filter by status. Your agent can then parse the results to identify which contracts require your immediate attention.

Q: Does PandaDoc support template retrieval for OpenAI Agents SDK agents?

It does. The listtemplates tool lets your agent query your account for available templates. You can then pass those IDs directly into your automation logic.

Automate contract workflows directly in OpenAI Agents SDK with the PandaDoc MCP Server.

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Connect PandaDoc MCP to OpenAI Agents SDK

Create your Vinkius account to connect PandaDoc 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 PandaDoc with OpenAI Agents SDK

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Generate documents via OpenAI Agents SDK

Trigger `create_document` to spin up contracts from your templates. Your agent pulls the necessary details to populate the document without manual intervention. Once the draft is ready, your agent calls `send_document` to push it to the client. This keeps your sales pipeline moving while the agent handles the heavy lifting.

Track deal progress with MCP Server

Your agent uses `get_document_details` to monitor signature status in real-time. It knows exactly when a document moves from sent to signed. This data feeds directly into your agent's decision loop. It can trigger follow-up actions or update your internal records immediately upon completion.

Manage templates through your agent

Access your entire library using `list_templates`. Your agent identifies the correct contract type before initiating any new document creation. It avoids template confusion by checking `get_template_details` first. This ensures every contract sent via the SDK aligns with your current legal standards.

Setup guide

Set up PandaDoc 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 PandaDoc tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate PandaDoc 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="PandaDoc Agent",
            instructions="You have access to PandaDoc tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about PandaDoc MCP in OpenAI Agents SDK

Yes. Your agent can execute the entire cycle from document creation to final signing. It manages the state of every agreement automatically.

Use the `list_documents` tool to filter by status. Your agent can then parse the results to identify which contracts require your immediate attention.

It does. The `list_templates` tool lets your agent query your account for available templates. You can then pass those IDs directly into your automation logic.

The server returns an error response that your agent catches immediately. You can then log the failure or prompt a human for correction.

Your agent only touches the specific document and contact IDs requested. All traffic is encrypted, and the server operates within an ephemeral V8 sandbox.

Use it with your favorite AI tools

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