How to Use the TrueReview MCP in LangChain

Q: Is retrieving a summary report easy with TrueReview and LangChain?

It's straightforward. Your agent calls getreportsummary, and the MCP Server returns a structured, actionable overview of all review data right away.

Build customer review pipelines with LangChain; automate campaign management and data gathering.

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Connect TrueReview MCP to LangChain

Create your Vinkius account to connect TrueReview 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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Setup TrueReview with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Targeted Review Request Workflows

The agent can check for specific locations using `list_locations`, then pull all associated contacts via `list_contacts`. Finally, it sends the request directly to each user with `send_review_request`. This creates a full chain: find the place, get the list of people there, and execute the outreach. The agent decides this sequence based on the goal.

Contact Lifecycle Management

You can start by creating a brand new customer contact using `create_contact`. Later, if you need to check details or update records, your AI client calls `get_contact`. This allows the agent to manage the entire user record flow: creation, verification, and subsequent action. The MCP Server handles all data integrity.

Campaign Planning and Reporting

The system can list available marketing campaigns using `list_campaigns` and then generate a summary report of existing reviews via `get_report_summary`. This is useful for initial planning; the agent determines if a new campaign is needed after reviewing past performance metrics. The MCP Server keeps all these records current.

Setup guide

Set up TrueReview MCP in LangChain

Prerequisites

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

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

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

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes TrueReview tool calls through the MCP protocol.
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({
    "truereview-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 TrueReview transactions"
    })
    print(result["messages"][-1].content)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TrueReview. 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 TrueReview MCP in LangChain

The LangChain framework lets your agent execute multi-step processes against the TrueReview MCP Server. You can chain together tools like `list_contacts` and `create_contact` so that one action feeds directly into the next, automating complex workflows.

Yes. Your agent uses the MCP Server to manage campaign lists via `list_campaigns`. It determines which active or inactive campaigns are available for immediate use.

Absolutely. The agent decides the necessary tool call and its order based on intermediate results from the MCP Server, making it ideal for complex TrueReview tasks like finding a location then sending requests.

The server primarily manages customer contact information and business location details. These are the core data points handled by tools like `get_contact` and `list_locations`.

It's straightforward. Your agent calls `get_report_summary`, and the MCP Server returns a structured, actionable overview of all review data right away.

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