How to Use the Hiveage MCP in LangChain

Q: Can Hiveage data trigger multiple steps in a LangChain chain?

Yes. The output of one tool like listcustomers flows into the next step of your chain. You can build complex pipelines where the agent decides the order of operations.

Build automated billing chains in LangChain by connecting your Hiveage account to your agent pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Hiveage MCP to LangChain

Create your Vinkius account to connect Hiveage 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 Hiveage with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain invoice data into your agents

Connect your agent to Hiveage to pull invoice records directly into your reasoning chain. Use `list_invoices` to grab the latest billing data for any client. Your agent parses the output to determine which next action to take. It turns raw billing data into actionable logic without manual intervention.

Automate payments with LangChain

Trigger payment logging during your agent's execution flow using `record_payment`. You pass the amount and method as a JSON string to finalize transactions. This creates a clear audit trail within your chain. You keep your accounting records updated the moment an agent confirms a payment status.

Direct client email dispatch

Send documents straight to your customers after your agent verifies the details. The `send_invoice_email` tool handles delivery once the logic chain hits the final node. This MCP server removes the need for switching tabs to your finance dashboard. Your agent handles the entire lifecycle from generation to client notification.

Setup guide

Set up Hiveage 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 Hiveage 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({
    "hiveage-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 Hiveage 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 Hiveage. 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 Hiveage 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 Hiveage MCP in LangChain

Install the MCP adapters and point your client to the server endpoint. You then pass the tool list into your agent constructor to enable direct access to your account data.

Yes. The output of one tool like `list_customers` flows into the next step of your chain. You can build complex pipelines where the agent decides the order of operations.

The server runs in an ephemeral sandbox. Your API token stays isolated and only the specific data requested by your agent is processed during the session.

LangChain captures the error in its tracing logs. You can inspect the input and output of every call to see exactly where the logic hit a snag.

Only the specific invoice IDs and customer details you query are accessed. No persistent local cache stores your sensitive financial records outside of the active agent memory.

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