How to Use the Blip MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK agent read Blip conversation threads?

Yes, use the getthreadmessages tool. It pulls the message history from a specific thread ID so your agent can process the conversation context.

Connect Blip to your OpenAI Agents SDK runtime to push customer data and manage tickets from your production agent logic.

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Connect Blip MCP to OpenAI Agents SDK

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

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Automate Blip contact management in OpenAI Agents SDK

Your agent handles CRM updates by calling `create_contact` or `delete_contact` directly inside your Python execution loop. This avoids manual data entry when a new lead hits your pipeline. You get immediate state updates via `list_contacts`. The SDK validates these calls against your safety constraints before they hit the Blip API.

Trace Blip ticket interactions through your agent system

Monitor every customer interaction by pulling `get_ticket` data into your agent's reasoning process. You can see the full history of a support issue without switching tabs. `list_tickets` lets your agent scan for open issues assigned to specific users. It keeps your support workflow connected to your agent's central dashboard.

Direct messaging via Blip inside your OpenAI agents

Push proactive updates to customers using `send_message` triggered by your agent logic. It turns your bot into a two-way communication hub for your service. Use `get_thread_messages` to feed context into your prompt. This ensures your agent sees exactly what the user said before it generates a reply.

Setup guide

Set up Blip 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 Blip tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Why Choose Vinkius

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Common questions about Blip MCP in OpenAI Agents SDK

You instantiate an MCPServerStreamableHttp object with your Vinkius endpoint. Pass that into your Agent constructor's mcp_servers list, and the SDK auto-discovers all ten tools.

Yes, use the `get_thread_messages` tool. It pulls the message history from a specific thread ID so your agent can process the conversation context.

The SDK validates all tool calls before execution. If your agent tries to send an invalid message to a contact, the guardrails catch the error before it hits the network.

Vinkius handles all auth via a single endpoint token. Your agent only sees the data returned by the tools you explicitly call.

This MCP server only accesses contact records, ticket details, and message threads. No PII is stored on Vinkius servers; it flows directly from the Blip API to your agent's memory.

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