How to Use the Boostapp MCP in OpenAI Agents SDK
Push leads into Boostapp directly from your OpenAI Agents SDK production system.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Boostapp MCP to OpenAI Agents SDK
Create your Vinkius account to connect Boostapp 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.
Direct lead creation for OpenAI Agents SDK
Your agent pushes contact info into your sales pipeline without leaving the code. You call `create_lead` with a name and phone number to record new prospects instantly. This MCP server handles the handshake between your Python agent and your CRM. It keeps your pipeline logic inside your agent definition.
Enforce schema with OpenAI Agents SDK
The `create_lead` tool forces your agent to provide a phone number and full name before it tries to write to the database. Your agent gets immediate feedback if the input is missing. It stops the request before bad data touches your sales records.
Trace Boostapp actions in OpenAI Agents SDK
Every call to `create_lead` shows up in your OpenAI dashboard traces. You see exactly when your agent decided to add a lead. Use this to debug why an agent picked a specific pipeline stage. It turns your CRM activity into a visible part of your production monitoring.
Set up Boostapp MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all Boostapp tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Boostapp tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate Boostapp tools and returns structured results. Copy the full example on the right to get started.
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="Boostapp Agent",
instructions="You have access to Boostapp tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Boostapp. 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.
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 Boostapp MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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Start using the Boostapp MCP today
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