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Hiveage MCP Server for LangChain 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Hiveage through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "hiveage": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Hiveage, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Hiveage
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Hiveage MCP Server

Connect your Hiveage account to any AI agent and take full control of your online invoicing, estimates, and customer network through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Hiveage through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Invoicing Oversight — List all invoices, retrieve detailed billing data using unique hash keys, and monitor payment status.
  • Estimate Management — Access your quotations and estimates history to stay on top of pending deals.
  • Payment Recording — Manually record payments against invoices directly from the chat interface.
  • Customer Network — List and inspect connections (customers/vendors) in your business network.
  • Document Delivery — Send invoices to your customers via email with a single command.
  • Tax & Item Visibility — List saved billing items and tax profiles to ensure accurate invoicing.

The Hiveage MCP Server exposes 12 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Hiveage to LangChain via MCP

Follow these steps to integrate the Hiveage MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 12 tools from Hiveage via MCP

Why Use LangChain with the Hiveage MCP Server

LangChain provides unique advantages when paired with Hiveage through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Hiveage MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Hiveage queries for multi-turn workflows

Hiveage + LangChain Use Cases

Practical scenarios where LangChain combined with the Hiveage MCP Server delivers measurable value.

01

RAG with live data: combine Hiveage tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Hiveage, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Hiveage tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Hiveage tool call, measure latency, and optimize your agent's performance

Hiveage MCP Tools for LangChain (12)

These 12 tools become available when you connect Hiveage to LangChain via MCP:

01

get_api_profile

Retrieve information about the authenticated account

02

get_customer_details

Get detailed profile information for a network connection

03

get_estimate_details

Get detailed information about a specific estimate

04

get_invoice_details

Get detailed information about a specific invoice

05

list_billing_items

List saved items and services used for invoicing

06

list_customers

List all connections (customers/vendors) in your network

07

list_estimates

List all estimates (quotations) in Hiveage

08

list_invoice_payments

List all payments recorded for a specific invoice

09

list_invoices

Use this to monitor billing and find hash keys for specific invoice actions. List all invoices in your Hiveage account

10

list_tax_profiles

List all configured tax profiles

11

record_payment

Pass details as a JSON string in "body_json" (requires amount, date, and payment_method). Record a manual payment against an invoice

12

send_invoice_email

Deliver an invoice to the customer via email

Example Prompts for Hiveage in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Hiveage immediately.

01

"List all unpaid invoices and their total amounts."

02

"Record a cash payment of $500 for invoice hash 'kiLDAgtGzNpaAQ'."

03

"Show me the details for the estimate with key 'ests_992'."

Troubleshooting Hiveage MCP Server with LangChain

Common issues when connecting Hiveage to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Hiveage + LangChain FAQ

Common questions about integrating Hiveage MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Hiveage to LangChain

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.