How to Use the Axonaut MCP in LangChain

Chain your business logic with LangChain by connecting this MCP Server to your automated workflows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Axonaut MCP to LangChain

Create your Vinkius account to connect Axonaut to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Axonaut with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Sequence your Axonaut operations

Feed the output of `list_invoices` directly into your next chain link to trigger automated follow-ups. You define the logic that decides when to pull data and which step triggers next. Your agent builds multi-step reasoning pipelines using `list_projects` and `list_tasks` to track progress. Each step remains observable via LangSmith so you catch bottlenecks before they hit production.

Dynamic CRM state management

Use `get_company` to pull live details into your chain and keep your context window lean. Your agent decides the exact order of tool execution based on the specific needs of the current conversation. This MCP Server provides the granular control you need for complex chains. You aren't just calling functions; you are building a structured flow that handles data between nodes.

Real-time task synchronization

Create new entries in your ERP automatically with `create_task`. Your pipeline handles the logic while the tool manages the final write operation to your database. Integrate these tools with your local vector stores to compare internal performance against external data. You maintain full control over the execution order inside your agent graphs.

Setup guide

Set up Axonaut MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Axonaut tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "axonaut-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Axonaut transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Axonaut. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Axonaut now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Axonaut MCP in LangChain

Use the MultiServerMCPClient to fetch tools and pass them into your agent definition. This creates a direct bridge between your ERP data and your execution chains.

Yes, you build chains where the output of one tool becomes the input for the next. This allows for sophisticated reasoning steps that simple scripts cannot handle.

Vinkius manages your connection via an ephemeral, isolated environment. Your ERP credentials never touch your local machine or the AI client directly.

Connect your implementation to LangSmith for full observability. You will see every input and output for every tool call in your chain.

Your invoice data stays within the encrypted transport tunnel during execution. Only the specific tool outputs requested by your agent are ever returned.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript