How to Use the Axonaut MCP in CrewAI
Deploy a specialized crew of agents to manage Axonaut. Let your AI team handle your ERP tasks and CRM monitoring.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Axonaut MCP to CrewAI
Create your Vinkius account to connect Axonaut to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
CrewAI agents for Axonaut management
Assign specific roles to your agents. One agent runs `list_expenses` while another analyzes the data to report findings. They share a memory buffer to coordinate. This prevents duplicate work and keeps your ERP data clean.
Automated Axonaut CRM research with CrewAI
Task a researcher agent to scan your client list. It uses `list_companies` to find relevant leads and prepares a summary for the human operator. It works sequentially or hierarchically. You decide the chain of command for your CRM tasks.
Monitor Axonaut tasks via CrewAI
Set up a monitor agent to watch your project status. It uses `list_tasks` to identify bottlenecks before they become real problems. When it finds an issue, it alerts your manager agent. The crew handles the escalation path without your input.
Set up Axonaut MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Axonaut tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Axonaut Analyst",
goal="Access and analyze Axonaut data via MCP.",
backstory="Expert analyst with direct Axonaut access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Axonaut transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Axonaut Analyst",
goal="Access and analyze Axonaut data via MCP.",
backstory="Expert analyst with direct Axonaut access.",
tools=mcp_tools,
)
task = Task(
description="List recent Axonaut transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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.
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 CrewAI
Use it with your favorite AI tools
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Start using the Axonaut MCP today
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