How to Use Birdeye MCP Server with OpenAI Agents SDK using Vinkius

Give OpenAI Agents SDK instant access to 6 tools to Create Customer, Customer Checkin, Get Customer Details, and more using Vinkius.

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

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The Birdeye MCP Server for OpenAI Agents SDK is a standout in the Customer Support 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

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

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

asyncio.run(main())

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About Birdeye MCP Server

Connect your Birdeye account to any AI agent and take full control of your online reputation management and customer experience workflows through natural conversation.

The OpenAI Agents SDK does not just connect to Birdeye. It enforces structure around every interaction. Built-in guardrails validate inputs before they reach a tool. Tracing captures every call, every response, every token spent. Handoff patterns let you chain multiple specialized agents where one queries Birdeye, another validates the output, and a third acts on the result. 6 tools are auto-discovered through native MCP integration. No manual schema definitions. No brittle adapters.

What you can do

Review Orchestration. List and manage customer reviews across multiple platforms (Google, Facebook, etc.) programmatically, retrieving detailed high-fidelity comments and ratings in real-time
Automated Check-ins. Programmatically trigger review requests (check-ins) via SMS or Email to coordinate high-fidelity feedback collection from your recent visitors
Sentiment Intelligence. Access complete customer profiles and retrieve detailed sentiment history to maintain a perfectly coordinated overview of your brand health
Survey & Feedback Architecture. Programmatically dispatch custom surveys to specific customers and monitor their high-fidelity responses directly through your agent
Multi-Location Visibility. Retrieve complete directories of all your business branches and locations to coordinate your organizational reputation programmatically

The Birdeye MCP Server exposes 6 tools through Vinkius. Connect it to OpenAI Agents SDK in under two minutes. Fully managed, no infrastructure to provision, no vendor lock-in.

6 tools included

Explore every tool Birdeye exposes to OpenAI Agents SDK through Vinkius.

View all 6 tools

Connect Birdeye to OpenAI Agents SDK via MCP

Follow these steps to connect Birdeye to OpenAI Agents SDK. The setup takes under two minutes and requires no coding or server hosting.

Get your Vinkius Access Token

Go to cloud.vinkius.com to log in or create a free account, and retrieve your personal access token from the dashboard. This token is required to authenticate your connection to the hosted Birdeye MCP server.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

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

Run the script

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

Explore tools

The agent will automatically discover 6 tools from Birdeye

Why Use OpenAI Agents SDK with the Birdeye MCP Server

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

The SDK auto-discovers all 6 tools from Birdeye through Vinkius via native MCP. No manual schema definitions. No adapter code. Pass the URL and agents see every tool immediately

Built-in guardrails validate inputs before they reach Birdeye through Vinkius. Tracing captures every tool call, every response, every token spent in production

Chain specialized agents: one queries Birdeye data through Vinkius, another validates the output, a third generates reports. Each with its own guardrails and permissions

First-party OpenAI integration means GPT models interact with Birdeye tools through optimized function calling. Vinkius provides the connection. OpenAI provides the reasoning

Birdeye + OpenAI Agents SDK Use Cases

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

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

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

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

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

Example Prompts for Birdeye in OpenAI Agents SDK

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

"List the latest 5-star reviews for my business in Birdeye."

"Send a review request to 'John Smith' (john@example.com)."

"Show the sentiment profile for customer ID '12345'."

Troubleshooting Birdeye MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

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

Agent not calling tools

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

Birdeye + OpenAI Agents SDK FAQ

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

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.

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.

Does the SDK support streaming responses?

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

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents

Complete visibility into every agent action

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Birdeye using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Explore Analytics

Connect Birdeye with your favorite client

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