Axonaut MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Axonaut 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({
"axonaut": {
"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 Axonaut, 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 Axonaut MCP Server
Transform your business administration with Axonaut, the all-in-one ERP designed for high-velocity teams. By connecting Axonaut to your AI agent, you turn complex organizational management into a natural conversation. Your agent can instantly audit unpaid invoices, list active quotations, manage CRM contacts, and orchestrate team tasks without you ever navigating through dense financial menus. Whether you're tracking expenses or preparing project reports, your agent acts as a direct bridge to your business data, ensuring your operations stay lean and efficient.
LangChain's ecosystem of 500+ components combines seamlessly with Axonaut 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
- CRM Orchestration — List and search through company and contact records to maintain a complete view of your business relationships.
- Financial Auditing — Retrieve and audit lists of invoices, quotations (quotes), and expenses directly through natural language.
- Task Management — Create, list, and manage team tasks with deadlines and descriptions to keep projects moving forward.
- Business Oversight — Explore your product catalog, active orders, and project milestones without manual dashboard data entry.
- Connectivity Check — Instantly verify your account health and retrieve current user context to ensure system integrity.
The Axonaut 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 Axonaut to LangChain via MCP
Follow these steps to integrate the Axonaut 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 12 tools from Axonaut via MCP
Why Use LangChain with the Axonaut MCP Server
LangChain provides unique advantages when paired with Axonaut through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Axonaut 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 Axonaut queries for multi-turn workflows
Axonaut + LangChain Use Cases
Practical scenarios where LangChain combined with the Axonaut MCP Server delivers measurable value.
RAG with live data: combine Axonaut tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Axonaut, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Axonaut tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Axonaut tool call, measure latency, and optimize your agent's performance
Axonaut MCP Tools for LangChain (12)
These 12 tools become available when you connect Axonaut to LangChain via MCP:
create_task
Create a new task
get_account_check
Verify Axonaut connection and get current user info
get_company
Get details for a specific company
list_companies
List all companies in Axonaut
list_contacts
List all contacts
list_expenses
List all expenses
list_invoices
List all invoices
list_orders
List all orders
list_products
List all products
list_projects
List all projects
list_quotations
List all quotations (quotes/devis)
list_tasks
List all tasks
Example Prompts for Axonaut in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Axonaut immediately.
"List all my invoices from the last 30 days."
"Create a task called 'Follow up with New Client' due tomorrow."
"Search for a company named 'TechCorp'."
Troubleshooting Axonaut MCP Server with LangChain
Common issues when connecting Axonaut to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAxonaut + LangChain FAQ
Common questions about integrating Axonaut 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 Axonaut 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 Axonaut to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
