Can I reply to a review using the agent?

Yes! Use the `reply_to_review` tool with the Review ID and your message. If the source allows API replies, your message will be posted to Birdeye instantly.

How do I see the average rating for my business?

Simply ask the agent to `get_review_summary`. It will retrieve the overall counts and ratings aggregated across all supported platforms (Google, Facebook, etc.).

Can I trigger a review request for a specific customer?

Yes. Use the `checkin_customer` action with the customer's name and email. This will trigger the automated review and survey sequence configured in your Birdeye account.

Birdeye MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Birdeye
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

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.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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 10 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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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 Birdeye MCP Server

Connect your Birdeye account to any AI agent and orchestrate your customer experience and reputation management workflows through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Birdeye through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Birdeye, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Review Management — List and retrieve detailed customer reviews and fetch review summaries by source.
Customer Interaction — Reply to reviews directly from the agent to maintain high engagement.
CX Automation — Trigger customer check-ins to automatically send review or survey requests.
Survey Insights — List available surveys and retrieve customer responses for analysis.
Contact Oversight — Manage your business contacts and retrieve detailed profile information.
Location Tracking — Access and list all business locations managed within your account.

The Birdeye MCP Server exposes 10 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.

How to Connect Birdeye to OpenAI Agents SDK via MCP

Follow these steps to integrate the Birdeye MCP Server with OpenAI Agents SDK.

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 10 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.

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

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

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

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

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

Birdeye MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Birdeye to OpenAI Agents SDK via MCP:

checkin_customer

Check-in a customer to trigger review/survey requests

get_business_info

Retrieve core business information

get_contact

Get specific contact details

get_review_summary

Get a summary of review counts by source

get_survey_responses

Get responses for a specific survey

list_contacts

List customer contacts

list_locations

List all business locations

list_reviews

List customer reviews

list_surveys

List all surveys

reply_to_review

Reply to a specific customer review

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 last 5 reviews received on Birdeye."

"Check in a customer: John Doe, john@example.com."

"Show my survey responses for survey surv_123."

Troubleshooting Birdeye MCP Server with OpenAI Agents SDK

Common issues when connecting Birdeye to OpenAI Agents SDK through the 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.