Can I see a list of unpaid invoices through the agent?

Yes. Use the `list_invoices` tool to retrieve all your financial records. Your agent can then filter or summarize which ones are pending payment.

Does this support creating new tasks in Axonaut?

Absolutely. Use the `create_task` tool by providing a title, optional description, and a deadline to instantly add it to your team's workflow.

Can I check my product catalog via the AI agent?

Yes. The `list_products` tool allows your agent to browse your inventory, retrieve descriptions, and audit product availability for quotes or orders.

Axonaut MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: Axonaut
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Axonaut through Vinkius, pass the Edge URL in the `mcps` parameter and every Axonaut tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Axonaut Specialist",
    goal="Help users interact with Axonaut effectively",
    backstory=(
        "You are an expert at leveraging Axonaut tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Axonaut "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Axonaut becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Axonaut tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Axonaut MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Axonaut

Why Use CrewAI with the Axonaut MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Axonaut through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Axonaut + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Axonaut for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Axonaut, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Axonaut tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Axonaut against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Axonaut MCP Tools for CrewAI (12)

These 12 tools become available when you connect Axonaut to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Axonaut to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Axonaut + CrewAI FAQ

Common questions about integrating Axonaut MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.