Axonaut MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Axonaut through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Axonaut Assistant",
instructions=(
"You help users interact with Axonaut. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Axonaut"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 12 tools from Axonaut through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Axonaut, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Axonaut MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Axonaut
Why Use OpenAI Agents SDK with the Axonaut MCP Server
OpenAI Agents SDK provides unique advantages when paired with Axonaut through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Axonaut + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Axonaut MCP Server delivers measurable value.
Automated workflows: build agents that query Axonaut, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Axonaut, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Axonaut tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Axonaut to resolve tickets, look up records, and update statuses without human intervention
Axonaut MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Axonaut to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Axonaut to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Axonaut + OpenAI Agents SDK FAQ
Common questions about integrating Axonaut MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.