How to Use the Bidsketch MCP in OpenAI Agents SDK

Q: How do I authenticate the Bidsketch MCP Server in OpenAI Agents SDK?

You pass your Vinkius endpoint token when initializing MCPServerStreamableHttp. The SDK handles the headers, letting your agent instantly run listproposals without manual auth handling.

Q: What is the best way to cache Bidsketch tools in OpenAI Agents SDK?

Set cacheToolsList=True in your MCPServerStreamableHttpParams. This stops the SDK from fetching the MCP tool schema on every single agent loop, keeping your proposal pipelines fast.

Ship autonomous sales agents that draft and track proposals using OpenAI Agents SDK.

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Connect Bidsketch MCP to OpenAI Agents SDK

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

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Safe proposal generation via OpenAI Agents SDK

When your OpenAI agent decides to pitch a client, it uses `create_proposal` and `list_templates` to build the document. Instead of letting the model hallucinate pricing, the OpenAI SDK forces the agent to pull current numbers using `list_fees` and verify client IDs via `get_client`.

OpenAI agent handoffs for Bidsketch workflows

Coordinate complex sales workflows in the OpenAI SDK by calling `list_templates` and passing the template ID to a drafting agent. Once the draft is built, a final reviewer OpenAI agent calls `get_proposal` to double-check the details. Your OpenAI dashboard displays the entire execution chain so you can trace how the Bidsketch proposal got built.

Auto-discovering Bidsketch tools in OpenAI

Stop writing manual tool definitions for your Bidsketch sales pipeline. Turn on `cacheToolsList` in your OpenAI script to keep startup times under a second. Your OpenAI agent keeps the tool definitions cached, meaning it can jump straight to pulling user profiles with `get_user_details` the moment a user asks.

Setup guide

Set up Bidsketch 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 Bidsketch tools at runtime.
3

Create your Agent

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

Run the agent

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

You pass your Vinkius endpoint token when initializing `MCPServerStreamableHttp`. The SDK handles the headers, letting your agent instantly run `list_proposals` without manual auth handling.

Yes, you configure this at the agent definition level. If you only want an agent to read data, expose `get_proposal` and `list_clients` while omitting `update_proposal`.

The SDK queries the Bidsketch MCP server on startup to fetch the latest tool schemas. If we update `create_client` on Vinkius, your agent adapts without you redeploying code.

Set `cacheToolsList=True` in your `MCPServerStreamableHttpParams`. This stops the SDK from fetching the MCP tool schema on every single agent loop, keeping your proposal pipelines fast.

Your Bidsketch data, including client details and proposal fees, runs inside a secure V8 isolate sandbox on Vinkius. No raw credentials or client lists are exposed to the public web during execution.

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