How to Use the Custify MCP in LangChain

Chain Custify data through your LangChain agents to automate customer health tracking and event logging.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Custify MCP to LangChain

Create your Vinkius account to connect Custify 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.

GDPR Free for Subscribers

Setup Custify with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Sequence Custify data in LangChain pipelines

Feed output from `list_health_scores` directly into your reasoning chains. You can build logic where the agent checks a score and decides whether to trigger a follow-up action. This MCP Server lets you link `list_companies` data into your existing LangSmith traces. You get a clear view of how your agents interact with customer records.

Automate user activity logs

Use `track_user_event` to push usage data from your agent directly to your dashboard. It keeps your records up to date without manual input. Your agents can also use `create_person` when they identify new leads during research. It keeps your database current as your LangChain agent works.

Manage customer segments programmatically

Call `list_user_segments` to retrieve current groupings for your logic gates. Your agent adjusts its strategy based on the specific segment returned. Combine this with `get_company_details` to pull specific account context into your chain. It gives your agent the background it needs to make smart decisions.

Setup guide

Set up Custify 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 Custify 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({
    "custify-alternative-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 Custify transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Custify now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Custify MCP in LangChain

Install the necessary adapters and initialize the client with your endpoint. You then pass the tools to your agent configuration to start making calls.

Yes, the agent uses the output of these tools to adjust its path. It treats customer health scores as variables in its reasoning process.

Every call is visible in your LangSmith traces. You see the exact input sent to the server and the resulting customer data returned.

The server is stateless by default. Use the client session object if you need to maintain context across multiple interaction steps.

Your customer records and health metrics are handled via secure transport. We isolate all requests to ensure your sensitive business data stays private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript