Altoviz MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Altoviz through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"altoviz": {
"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 Altoviz, 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 Altoviz MCP Server
Connect your Altoviz account to your AI agent to unlock professional business management and automated invoicing. From creating and auditing sale invoices to monitoring real-time expenses and managing customer profiles, your agent handles your back-office operations through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Altoviz 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.
What you can do
- Invoicing Orchestration — List, retrieve, and create professional sale invoices and quotes (devis)
- Accounting Management — Monitor business receipts (dépenses) and retrieve supplier details
- Customer Oversight — List and manage customer profiles, ensuring your business network is always updated
- Product Management — List products and retrieve inventory details to manage your catalog
- Financial Insights — Quickly identify overdue invoices or retrieve specific transaction details directly from your chat interface
The Altoviz 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 Altoviz to LangChain via MCP
Follow these steps to integrate the Altoviz 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 Altoviz via MCP
Why Use LangChain with the Altoviz MCP Server
LangChain provides unique advantages when paired with Altoviz through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Altoviz 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 Altoviz queries for multi-turn workflows
Altoviz + LangChain Use Cases
Practical scenarios where LangChain combined with the Altoviz MCP Server delivers measurable value.
RAG with live data: combine Altoviz tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Altoviz, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Altoviz tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Altoviz tool call, measure latency, and optimize your agent's performance
Altoviz MCP Tools for LangChain (10)
These 10 tools become available when you connect Altoviz to LangChain via MCP:
get_customer_details
Get customer metadata
get_product_details
Get product metadata
get_sale_invoice_details
Get invoice metadata
get_sale_quote_details
Get quote metadata
list_customers
List customers
list_products
List catalog products
list_receipts
List business receipts/expenses
list_sale_invoices
List sale invoices
list_sale_quotes
List sale quotes
list_suppliers
List suppliers
Example Prompts for Altoviz in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Altoviz immediately.
"List the last 5 sale invoices in Altoviz."
"Show me details for customer 'John Doe'."
"List the products in my catalog."
Troubleshooting Altoviz MCP Server with LangChain
Common issues when connecting Altoviz to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAltoviz + LangChain FAQ
Common questions about integrating Altoviz 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 Altoviz 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 Altoviz to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.