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Cacheflow MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 6 tools to Create Proposal, Get Approval Requests, Get Proposal Details, and more

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The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cacheflow through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Cacheflow app connector for OpenAI Agents SDK is a standout in the Sales Automation category — giving your AI agent 6 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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="Cacheflow Assistant",
            instructions=(
                "You help users interact with Cacheflow. "
                "You have access to 6 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cacheflow"
        )
        print(result.final_output)

asyncio.run(main())
Cacheflow
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Cacheflow MCP Server

Connect your Cacheflow account to any AI agent and take full control of your automated sales proposals and checkout workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 6 tools from Cacheflow through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cacheflow, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Proposal Orchestration — List and manage active sales proposals programmatically, including monitoring their status (sent, viewed, signed) and retrieving detailed metadata
  • Approval Workflow Intelligence — Access your pending approval requests to maintain a high-velocity sales cycle and oversee the internal signing pipeline in real-time
  • CRM Ecosystem Sync — Programmatically trigger the synchronization of proposal data to your connected Salesforce or HubSpot instance to ensure high-fidelity records
  • Customer Oversight — Retrieve complete directories of external customers synced from your CRM to maintain a perfectly coordinated relationship ecosystem
  • Revenue Visibility — Access specific proposal details and monitor sales performance metrics directly through your agent for instant operational reporting

The Cacheflow MCP Server exposes 6 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.

All 6 Cacheflow tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Cacheflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning cpq, sales-proposals, b2b-checkout, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_proposal

Pass data as a JSON string. Create a new sales proposal

get_approval_requests

List pending approvals for me

get_proposal_details

Get specific proposal details

list_customers

List external customers

list_proposals

List all sales proposals

sync_to_crm

Sync proposal to CRM

Connect Cacheflow to OpenAI Agents SDK via MCP

Follow these steps to wire Cacheflow into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 6 tools from Cacheflow

Why Use OpenAI Agents SDK with the Cacheflow MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cacheflow through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Cacheflow + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Cacheflow MCP Server delivers measurable value.

01

Automated workflows: build agents that query Cacheflow, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Cacheflow, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Cacheflow tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Cacheflow to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Cacheflow in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cacheflow immediately.

01

"List all active sales proposals in my account."

02

"Show my pending internal approval requests."

03

"Sync proposal 'prop_123' to HubSpot."

Troubleshooting Cacheflow MCP Server with OpenAI Agents SDK

Common issues when connecting Cacheflow to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Cacheflow + OpenAI Agents SDK FAQ

Common questions about integrating Cacheflow MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.