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How to Use the Togai (Usage Metering & Pricing) MCP in LangChain

Automate billing and metering logic within your LangChain agent workflow.

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Connect Togai (Usage Metering & Pricing) MCP to LangChain

Create your Vinkius account to connect Togai (Usage Metering & Pricing) 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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Manage Account Status via the MCP Server

The `get_account` tool retrieves all details for a specific account. You can also use `update_account` to modify existing records, keeping your billing data current. If an agent needs to check limits before proceeding, it first calls `check_entitlement`. This ensures the subsequent steps in the chain don't fail because of an unexpected usage boundary.

Ingest and Track Usage Events for LangChain

Need to record activity? The `ingest_event` tool takes a single event object, requiring schemaName, timestamp, accountId, and other attributes. This lets your agent log real-time usage data directly. The batch version, `ingest_batch_events`, handles bulk uploads of usage records, allowing you to process large volumes of activity in one go without writing complex ETL logic.

List and Update Financial Records

To give the agent visibility into billing history, it can call `list_invoices` with optional filters. It also uses `get_wallet_balance` to know how much credit is available for an account. Should you need to adjust a customer's status or create new pricing tiers, the tools provide `create_customer` and `create_price_plan`, enabling multi-step financial automation.

Setup guide

Set up Togai (Usage Metering & Pricing) 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 Togai (Usage Metering & Pricing) 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({
    "togai-usage-metering-pricing-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 Togai (Usage Metering & Pricing) 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 Togai. 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 Togai (Usage Metering & Pricing) MCP in LangChain

LangChain can use the MCP Server to execute billing functions as part of a reasoning chain. For example, an agent first checks `check_entitlement`, then calls `get_wallet_balance` before deciding whether or not to call `ingest_event`.
Yes. You can use tools like `update_customer` and `create_account` within a LangChain workflow. The agent decides when to call these functions based on its overall goal.
This MCP Server touches account details, usage events, and pricing structures. Specifically, the agent interacts with `accountId`, `schemaName`, and invoice records.
The client supports passing tools from multiple servers. This means you can build a complex workflow that handles usage data from several different sources using one agent chain.
The `grant_credit` tool lets your agent programmatically add funds. The system then tracks this via the `get_wallet_balance` function, giving you full control over billing adjustments.

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