How to Use the Hudu MCP in CrewAI

Q: How do I give different agents in CrewAI access to different Hudu tools?

When configuring your MCPServerHTTP connection in CrewAI, you can use the toolfilter argument. This lets you specify exactly which tools, like listpasswords or listassets, a particular agent is allowed to use.

Q: Can a CrewAI team work together to solve a problem using Hudu information?

Yes, that's the point of CrewAI. One agent can use listarticles to find a solution, and if it's not working, pass the context to another agent that tries a different approach using listprocedures.

Deploy autonomous agent crews to monitor, manage, and report on your Hudu documentation.

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Connect Hudu MCP to CrewAI

Create your Vinkius account to connect Hudu 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.

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Setup Hudu with CrewAI

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Build an Autonomous IT Security Crew

This isn't about one agent; it's about a team. Assign a "Monitor" agent to watch Hudu activity using `list_activity_logs`. If it spots something weird, it passes the details to an "Investigator" agent. The Investigator can then use `get_company`, `list_contacts`, and `list_assets` to gather context around the event. A final "Responder" agent can then use the full context to page the on-call engineer with a complete report. This MCP Server enables true autonomous operations.

A Documentation Quality Assurance Team

Your agents can now enforce documentation standards. One agent's job is to run `list_assets` and `list_procedures` daily. Its goal is to find assets that are missing a corresponding recovery procedure. When it finds one, it tasks a "Writer" agent to create a ticket in your project management system, assigning it to the right team based on data from `get_company`. Your crew keeps your documentation from going stale.

Your Hudu Reporting and Analytics Crew

Set up a crew of agents to handle reporting. A "Collector" agent can be tasked to run `list_companies`, `list_assets`, and `list_websites` on a schedule. It gathers all the raw data for a weekly snapshot. It then hands off the data to an "Analyst" agent, which processes the information and generates a summary. This MCP Server gives your CrewAI agents the raw data they need to produce insights without you lifting a finger.

Setup guide

Set up Hudu MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Hudu tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Hudu Analyst",
    goal="Access and analyze Hudu data via MCP.",
    backstory="Expert analyst with direct Hudu access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Hudu transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Hudu Analyst",
        goal="Access and analyze Hudu data via MCP.",
        backstory="Expert analyst with direct Hudu access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Hudu transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

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 Hudu. 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.

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Common questions about Hudu MCP in CrewAI

When configuring your `MCPServerHTTP` connection in CrewAI, you can use the `tool_filter` argument. This lets you specify exactly which tools, like `list_passwords` or `list_assets`, a particular agent is allowed to use.

Yes, that's the point of CrewAI. One agent can use `list_articles` to find a solution, and if it's not working, pass the context to another agent that tries a different approach using `list_procedures`.

You pass the Vinkius endpoint URL, which includes your token, directly into the agent definition's `mcps` parameter. CrewAI handles passing the necessary authentication headers for every tool call.

A simple monitoring crew is a great start. Have one agent that calls `list_activity_logs` and a second agent that uses `list_contacts` to send an email digest of important activities. It's a quick way to see the power of collaborative agents.

Each tool call from your CrewAI agent is a discrete, encrypted HTTPS request to an ephemeral Vinkius sandbox. We process the request to Hudu, stream the response (e.g., password data) back, and then terminate the instance. Your data isn't logged or stored.

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