How to Use the Craftboxx MCP in CrewAI

Q: How do I pass the Craftboxx MCP Server to a CrewAI agent?

You declare the Vinkius HTTP endpoint in the mcps parameter when defining your CrewAI agent. This immediately exposes the entire toolset to that specific agent's toolbox. You can also restrict tools to specific agents to keep roles defined.

Q: Can I limit which Craftboxx tools a CrewAI agent can use?

Yes, you can use the MCPServerHTTP class from the crewai.mcp package to apply a filter. This lets you restrict access to the MCP server's tools, preventing a research agent from executing actions like createorder while still allowing it to read schedules. It keeps your multi-agent crew operating within safe boundaries.

Q: Is my Craftboxx material inventory and employee data secure with CrewAI?

All inventory logs and employee rosters accessed via listmaterials are processed inside isolated, ephemeral V8 sandboxes. Vinkius uses a zero-trust architecture that prevents data leakage between agent runs. Your operational files are discarded immediately after the CrewAI process finishes executing.

Coordinate a multi-agent team to manage Craftboxx orders, materials, and field personnel autonomously using CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Craftboxx MCP to CrewAI

Create your Vinkius account to connect Craftboxx 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.

GDPR Free for Subscribers

Setup Craftboxx with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Collaborative order dispatching with CrewAI

The `get_order_details` tool gives your CrewAI agents deep access to specific craft order specifications. A researcher agent can extract the order requirements, while a coordinator agent checks worker availability to assign the best team. This multi-agent setup uses shared memory to pass order details between agents without losing context. By using this MCP server, your crew coordinates complex field assignments without requiring manual data entry.

Autonomous material and fleet coordination

The `list_materials` tool allows your CrewAI logistics agent to monitor current inventory levels against active project demands. Simultaneously, a fleet manager agent runs `list_vehicles_resources` to ensure the required transport is prepped. These agents collaborate hierarchically to resolve resource shortages before dispatching teams to the field. The final plan is written directly to the schedule, keeping your entire operation aligned.

Automated workload auditing for field crews

The `list_employees` tool provides your CrewAI operations monitor with the complete roster of active team members. The agent compares this roster against active schedules returned by `list_appointments` to balance workloads. When an employee is overbooked, a coordinator agent automatically shifts tasks to underutilized staff. This autonomous optimization loop runs continuously in the background, keeping your labor costs under control.

Setup guide

Set up Craftboxx 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 Craftboxx tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Craftboxx 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="Craftboxx Analyst",
        goal="Access and analyze Craftboxx data via MCP.",
        backstory="Expert analyst with direct Craftboxx access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Craftboxx 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 Craftboxx. 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 Craftboxx 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 Craftboxx MCP in CrewAI

You declare the Vinkius HTTP endpoint in the `mcps` parameter when defining your CrewAI agent. This immediately exposes the entire toolset to that specific agent's toolbox. You can also restrict tools to specific agents to keep roles defined.

Yes, you can use the `MCPServerHTTP` class from the `crewai.mcp` package to apply a filter. This lets you restrict access to the MCP server's tools, preventing a research agent from executing actions like `create_order` while still allowing it to read schedules. It keeps your multi-agent crew operating within safe boundaries.

CrewAI agents use a shared memory system to pass outputs from tools like `list_tasks` between different roles. For example, your researcher agent pulls the tasks, and the planner agent analyzes them to assign resources. This collaboration happens autonomously without external database triggers.

CrewAI supports stdio, SSE, and Streamable HTTP transports for connecting to your MCP server. Most developers use the Streamable HTTP option hosted by Vinkius for simple cloud deployments. This ensures stable connections for long-running agent tasks.

All inventory logs and employee rosters accessed via `list_materials` are processed inside isolated, ephemeral V8 sandboxes. Vinkius uses a zero-trust architecture that prevents data leakage between agent runs. Your operational files are discarded immediately after the CrewAI process finishes executing.

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