2,500+ MCP servers ready to use
Vinkius

Axonaut 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 Axonaut 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({
        "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())
Axonaut
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

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 Axonaut via MCP

Why Use LangChain with the Axonaut MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Axonaut 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 Axonaut queries for multi-turn workflows

Axonaut + LangChain Use Cases

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

01

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

02

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

03

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

04

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:

01

create_task

Create a new task

02

get_account_check

Verify Axonaut connection and get current user info

03

get_company

Get details for a specific company

04

list_companies

List all companies in Axonaut

05

list_contacts

List all contacts

06

list_expenses

List all expenses

07

list_invoices

List all invoices

08

list_orders

List all orders

09

list_products

List all products

10

list_projects

List all projects

11

list_quotations

List all quotations (quotes/devis)

12

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.

01

"List all my invoices from the last 30 days."

02

"Create a task called 'Follow up with New Client' due tomorrow."

03

"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.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Axonaut + LangChain FAQ

Common questions about integrating Axonaut 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 Axonaut to LangChain

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