Craftboxx MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Craftboxx as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Craftboxx. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Craftboxx?"
)
print(response)
asyncio.run(main())
* 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 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.
LlamaIndex agents combine Craftboxx tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Craftboxx MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Craftboxx
Why Use LlamaIndex with the Craftboxx MCP Server
LlamaIndex provides unique advantages when paired with Craftboxx through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Craftboxx tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Craftboxx tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Craftboxx, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Craftboxx tools were called, what data was returned, and how it influenced the final answer
Craftboxx + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Craftboxx MCP Server delivers measurable value.
Hybrid search: combine Craftboxx real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Craftboxx to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Craftboxx for fresh data
Analytical workflows: chain Craftboxx queries with LlamaIndex's data connectors to build multi-source analytical reports
Craftboxx MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Craftboxx to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Craftboxx to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpCraftboxx + LlamaIndex FAQ
Common questions about integrating Craftboxx MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Craftboxx with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Craftboxx to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.