How to Use the Cacheflow MCP in OpenAI Agents SDK

Q: How do agent handoffs work with this Cacheflow MCP Server?

You can set up one agent to find pending deals with getapprovalrequests and another to handle the CRM sync. The OpenAI Agents SDK manages the handoffs between them while maintaining the same MCP connection.

Q: Can I inspect the raw tool calls made to the billing system?

Absolutely. You can trace every single call to listcustomers or synctocrm directly in your OpenAI developer dashboard. This gives you a clear audit trail of what your agent did and when.

Build production-grade sales agents with OpenAI Agents SDK that safely draft, track, and sync Cacheflow proposals.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cacheflow MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cacheflow 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.

GDPR Free for Subscribers

Setup Cacheflow with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automate proposal generation with OpenAI Agents SDK

Your agent drafts complete subscription deals without you opening a browser. It uses `create_proposal` to write pricing structures and terms directly from raw sales notes. The OpenAI Agents SDK validates these generated payloads before executing them. This prevents your agent from sending malformed pricing JSON to Cacheflow, keeping your deals clean and accurate.

Manage approvals and sync pipelines

Keep your sales pipeline moving by letting your agent track pending deals. It runs `get_approval_requests` to find stalled proposals and uses `sync_to_crm` to update Salesforce or HubSpot immediately. With built-in tracing, you can audit exactly when your agent checked for approvals. You see every step in the OpenAI dashboard, making it easy to debug any pipeline lag.

Audit deals using this Cacheflow MCP Server

When a customer asks about their contract, your agent pulls the exact terms instantly. It runs `list_customers` to match the account and `get_proposal_details` to read the active agreement. The agent hands off the data to your customer support team with zero manual lookup. Because the MCP connection is direct, your customer data never sits on third-party servers.

Setup guide

Set up Cacheflow 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 Cacheflow tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Cacheflow. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Cacheflow now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Cacheflow MCP in OpenAI Agents SDK

Install the SDK and pass the Cacheflow endpoint URL to the MCPServerStreamableHttp constructor. Your agent auto-discovers all six tools like `list_proposals` instantly. Set cacheToolsList to true in your config to keep execution fast.

Yes, the SDK uses built-in guardrails to check your agent's tool calls. It validates the JSON payload before calling `create_proposal`, making sure your pricing tiers match your actual rules.

You can set up one agent to find pending deals with `get_approval_requests` and another to handle the CRM sync. The OpenAI Agents SDK manages the handoffs between them while maintaining the same MCP connection.

Absolutely. You can trace every single call to `list_customers` or `sync_to_crm` directly in your OpenAI developer dashboard. This gives you a clear audit trail of what your agent did and when.

All proposal details and customer lists stay inside your private execution sandbox. The SDK talks directly to the secure Vinkius endpoint, meaning your sensitive financial figures and CRM syncs are never used to train public models.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript