Invoiced MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Invoiced through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"invoiced": {
"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 Invoiced, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
asyncio.run(main())
* 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 Invoiced MCP Server
Empower your AI agents to manage your billing and payments lifecycle with Invoiced. This MCP server allows you to list customers, retrieve invoice details, track payments, and view subscription plans directly through the Invoiced API. Ideal for automating accounts receivable and financial operations.
LangChain's ecosystem of 500+ components combines seamlessly with Invoiced through native MCP adapters. Connect 10 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.
The Invoiced MCP Server exposes 10 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 Invoiced to LangChain via MCP
Follow these steps to integrate the Invoiced MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from Invoiced via MCP
Why Use LangChain with the Invoiced MCP Server
LangChain provides unique advantages when paired with Invoiced through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Invoiced MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Invoiced queries for multi-turn workflows
Invoiced + LangChain Use Cases
Practical scenarios where LangChain combined with the Invoiced MCP Server delivers measurable value.
RAG with live data: combine Invoiced tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Invoiced, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Invoiced tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Invoiced tool call, measure latency, and optimize your agent's performance
Invoiced MCP Tools for LangChain (10)
These 10 tools become available when you connect Invoiced to LangChain via MCP:
get_customer
Returns contact info, balance data, and payment settings. Use for deep intelligence on a customer before billing interactions. Retrieves details for a specific customer
get_invoice
Essential for auditing specific billings or providing customer support. Retrieves details for a specific invoice
list_coupons
Useful for auditing marketing incentives. Lists all active discount coupons
list_customers
Returns customer names, account numbers, and IDs. Use this as the main starting point for managing receivables or identifying specific clients. Lists all customers in Invoiced
list_invoices
Includes invoice numbers, amounts, and statuses. Essential for monitoring accounts receivable and overall revenue flow. Lists all invoices
list_items
Includes item codes, descriptions, and unit prices. Useful for auditing the available billing inventory. Lists all items in your catalog
list_payments
Returns payment methods, amounts, and transaction IDs. Use this to audit revenue collection and reconcile bank statements. Lists all payments received
list_plans
g., Monthly SaaS, Annual Support). Useful for auditing subscription-based business models. Lists all defined subscription plans
list_subscriptions
Essential for monitoring long-term customer commitments and MRR (Monthly Recurring Revenue). Lists all active customer subscriptions
list_tax_rates
Essential for auditing compliance and understanding how taxes are applied to invoices. Lists all defined tax rates
Example Prompts for Invoiced in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Invoiced immediately.
"List all active customers in Invoiced."
"Show me the last 5 invoices generated."
"Check the status of invoice number 'INV-789'."
Troubleshooting Invoiced MCP Server with LangChain
Common issues when connecting Invoiced to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersInvoiced + LangChain FAQ
Common questions about integrating Invoiced MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Invoiced with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Invoiced to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.