How do I get a Craftboxx API Key?

Log in to your Craftboxx account, navigate to **Settings > API**, and you can generate or retrieve your API Key from that section.

Can I assign tasks to employees?

Yes, you can use the create_order tool or list employees to see who is available and manage task distribution through conversational commands.

Does Craftboxx support resource management?

Yes, the integration allows you to list company resources like vehicles and machines, helping you track their allocation to different orders or appointments.

Craftboxx MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Craftboxx
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Craftboxx through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "craftboxx": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Craftboxx, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About Craftboxx MCP Server

Integrate Craftboxx, the specialized software for craft businesses, directly into your AI workflow. Manage your orders, schedule field appointments, and track company resources using natural language.

LangChain's ecosystem of 500+ components combines seamlessly with Craftboxx through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Order Management — List and retrieve details for craft orders, and create new orders instantly.
Appointment Scheduling — Monitor field work appointments and employee schedules.
Resource Tracking — Manage vehicles, machines, and material inventory via chat.
Business Insights — Get real-time statistics on your company's performance and task status.

The Craftboxx MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain 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 Craftboxx to LangChain via MCP

Follow these steps to integrate the Craftboxx MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Craftboxx via MCP

Why Use LangChain with the Craftboxx MCP Server

LangChain provides unique advantages when paired with Craftboxx through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Craftboxx MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Craftboxx queries for multi-turn workflows

Craftboxx + LangChain Use Cases

Practical scenarios where LangChain combined with the Craftboxx MCP Server delivers measurable value.

RAG with live data: combine Craftboxx tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Craftboxx, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Craftboxx tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Craftboxx tool call, measure latency, and optimize your agent's performance

Craftboxx MCP Tools for LangChain (10)

These 10 tools become available when you connect Craftboxx to LangChain via MCP:

create_order

Create a new craft order

get_business_stats

Retrieve high-level statistics for your business

get_order_details

Get details for a specific craft order

list_appointments

List scheduled appointments and field work

list_customers

List customers and business partners

list_employees

List all employees and team members

list_materials

List materials and inventory items

list_orders

List all craft orders in Craftboxx

list_tasks

List all open and completed tasks

list_vehicles_resources

List vehicles, machines, and other resources

Example Prompts for Craftboxx in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Craftboxx immediately.

"List all active craft orders for this week."

"Show me the appointments scheduled for tomorrow."

"What is the status of company vehicle 'Sprinter - B-CX 101'?"

Troubleshooting Craftboxx MCP Server with LangChain

Common issues when connecting Craftboxx to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Craftboxx + LangChain FAQ

Common questions about integrating Craftboxx MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.