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How to Use the Google Business Profile MCP in LangChain

Run multi-step chains with LangChain to pull Google Business Profile reviews, draft replies, and update hours based on live data.

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LangChain

Connect Google Business Profile MCP to LangChain

Create your Vinkius account to connect Google Business Profile to LangChain 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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Automate reviews using LangChain and this MCP Server

Run your LangChain agent to grab recent feedback using `list_reviews` and instantly pipe it into a sentiment analysis chain. The agent decides if a response is needed, fetches specific details via `get_review`, and drafts a targeted reply on the spot. You don't have to copy-paste anything. The chain uses `create_review_reply` to post the response directly back to Google, keeping your LangChain pipeline completely automated from ingestion to execution.

Dynamic hours adjustments based on external data

Connect your LangChain agent to weather APIs or event databases to adjust your operations. When a storm or holiday hits, the chain pulls current settings with `get_location_details` to verify what is currently listed. If the agent detects a conflict, it triggers `update_business_hours` to modify your storefront settings instantly. You get clean LangSmith traces of the entire decision tree, so you know exactly why your LangChain run changed your hours.

Track local performance inside your agent chains

Pull location metrics directly into your LangChain workflows to generate automated reports. The agent calls `get_location_insights` to retrieve search views and direction requests for any physical store. This lets your LangChain agent combine local search metrics with internal database numbers to build a real-time performance summary without manual exports.

Setup guide

Set up Google Business Profile MCP in LangChain

Prerequisites

  • Python 3.10+ installed
  • langchain-mcp-adapters + langgraph packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.

  2. 2

    Connect via HTTP transport

    Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Create a ReAct agent

    Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Google Business Profile tool calls through the MCP protocol.

  4. 4

    Run with any LLM

    Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

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

async with MultiServerMCPClient({
    "google-business-profile-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Google Business Profile transactions"
    })
    print(result["messages"][-1].content)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Google Business Profile. 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.

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Common questions about Google Business Profile MCP in LangChain

Install the adapter package and initialize the client pointing to your Vinkius host. You then call the tool getter on the MCP client and pass those tools directly into your LangChain agent constructor.
Yes, your agent can call `update_business_hours` within any chain. You can set up a LangChain run that checks holiday schedules and updates your profile automatically.
LangChain tracks every tool execution through its standard run managers. If a call to `create_review_reply` fails due to API limits, the error is caught in your chain's execution trace.
Use `list_questions` to pull unanswered queries. Your LangChain agent can process them and use `answer_question` to post the response directly.
Vinkius runs this MCP Server in an isolated sandbox that never stores your Google OAuth tokens or location details. Your raw business metrics and review drafts pass through ephemeral memory and are wiped immediately after the tool execution finishes.

Start using the Google Business Profile MCP today

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