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 LangChain 10 tools — connect in under 2 minutes

Name: Birdeye
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Birdeye through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "birdeye": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Birdeye, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

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High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

LangChain's ecosystem of 500+ components combines seamlessly with Birdeye through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Birdeye MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Birdeye via MCP

Why Use LangChain with the Birdeye MCP Server

LangChain provides unique advantages when paired with Birdeye through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Birdeye MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Birdeye queries for multi-turn workflows

Birdeye + LangChain Use Cases

Practical scenarios where LangChain combined with the Birdeye MCP Server delivers measurable value.

RAG with live data: combine Birdeye tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Birdeye, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Birdeye tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Birdeye tool call, measure latency, and optimize your agent's performance

Birdeye MCP Tools for LangChain (10)

These 10 tools become available when you connect Birdeye to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Birdeye to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Birdeye + LangChain FAQ

Common questions about integrating Birdeye MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.