How to Use the Bounsel MCP in OpenAI Agents SDK

Manage contracts directly inside your OpenAI Agents SDK environment without leaving your Python code.

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Connect Bounsel MCP to OpenAI Agents SDK

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

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Automate document workflows in OpenAI Agents SDK

Trigger `create_document` using your existing templates to draft new agreements instantly. You keep your agent logic clean by offloading the heavy lifting to this MCP server. Your production agent monitors the output of these calls, ensuring every document creation step is tracked in your dashboard. It handles the heavy lifting of template management through `list_templates` automatically.

Execute signature requests via OpenAI Agents SDK

Call `send_document` to move contracts through your pipeline without manual intervention. Your agent prepares the document and fires it off to the recipient in one go. You avoid context switching by having the agent verify document status using `get_document` before sending. It prevents errors by checking account permissions with `get_account_info` first.

Control user access through OpenAI Agents SDK

Audit who has access to your contract data by running `list_users` from your agent. It gives you a clear view of your workspace members. Cleaning up stale records is straightforward when you invoke `delete_document` after a deal closes. Your agent maintains the workspace hygiene by removing outdated files immediately.

Setup guide

Set up Bounsel 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 Bounsel tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Bounsel 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="Bounsel Agent",
            instructions="You have access to Bounsel 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 Bounsel MCP in OpenAI Agents SDK

You instantiate the MCPServerStreamableHttp class with the Vinkius URL and pass it to your agent constructor. The SDK handles the rest by auto-discovering the tools.

Yes, every tool execution leaves a trace in your OpenAI dashboard. This lets you debug agent behavior when handling contract templates.

The SDK validates all tool outputs against your defined schemas. You can wrap these calls in your existing safety logic to prevent unauthorized document creation.

Setting cacheToolsList to true keeps your agent snappy. It reduces the overhead of re-querying tool definitions during long-running sessions.

Bounsel only touches your document metadata and signature requests. All communication happens over encrypted channels, and you retain full control over which agents can trigger these actions.

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