How to Use the Zentitle2 MCP in LangChain

Q: Can I list all licenses using Zentitle2 and LangChain?

Absolutely. You just call listproducts to get a master list of what's licensed through Zentitle2. This result gives you the foundational data needed for any audit or reporting.

Build multi-step reasoning pipelines with LangChain and Zentitle2's license management tools.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Zentitle2 MCP to LangChain

Create your Vinkius account to connect Zentitle2 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 Zentitle2 with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Managing Licenses via MCP Server

The `list_products` tool lets your agent grab a list of all licensed products. You can then use the `get_customer_details` tool to check which specific customers hold those licenses, building out a full inventory report. This is great for complex audits. By chaining together calls like `list_customers`, then running `get_entitlement_details` on each result, you build actionable data that goes way beyond simple lookups.

Provisioning Entitlements with LangChain

Need to grant access? Your agent uses the `create_entitlement` tool to provision a new entitlement for a user. This call immediately creates a record, which you can then confirm using `get_entitlement_details`. It's an instant transaction that feeds into your next step in the chain. Furthermore, if you need to track who got what and when, the `create_customer` tool lets you onboard new users right before provisioning their access. This keeps your entire workflow self-contained.

Auditing Codes with LangChain

The system exposes several tools for code management. You can list all existing codes using `list_activation_codes`, and then drill down into specific details by calling `get_activation_code_details`. This lets your agent check the status or expiry of any given key. If you're building a multi-server application, these tools are perfect for checking activation statuses across different connected endpoints. You can also track new codes generated via `create_activation_code`.

Setup guide

Set up Zentitle2 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 Zentitle2 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({
    "zentitle2-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 Zentitle2 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 Zentitle2. 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 Zentitle2 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 Zentitle2 MCP in LangChain

LangChain treats every MCP tool call as a node in your graph. This means the output of, say, `list_customers`, becomes the input for the next step—maybe passing those IDs into `get_entitlement_details`. It's built for multi-step logic.

You are managing structured data like customer records, entitlements, activation codes, and product lists. Your agent handles these specific object types by calling the corresponding getter tools.

Absolutely. You just call `list_products` to get a master list of what's licensed through Zentitle2. This result gives you the foundational data needed for any audit or reporting.

Yes, it is. Because these tools are stateless by default, your agent can run repeated checks—like checking many entitlements sequentially—without worrying about session persistence issues.

The server handles structured licensing metadata: customer names, entitlement IDs, product SKUs, and activation codes. Your agent only accesses the specific data fields required for its current task.

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