How to Use the Togai (Usage Metering & Pricing) MCP in LangChain
Automate billing and metering logic within your LangChain agent workflow.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Togai (Usage Metering & Pricing) MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - 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 LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"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 Togai (Usage Metering & Pricing) tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
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
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