MaintainX MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add MaintainX 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 MaintainX. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in MaintainX?"
)
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 MaintainX MCP Server
Connect your MaintainX workspace to any AI agent to automate your maintenance operations and asset management. This MCP server enables your agent to list work orders, retrieve detailed asset metadata, update task statuses, and monitor facility locations directly from natural language interfaces.
LlamaIndex agents combine MaintainX tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Work Order Oversight — List all maintenance tasks and retrieve detailed statuses, priorities, and descriptions
- Asset Management — Monitor equipment and machinery health by retrieving complete metadata and associated work orders
- Status Automation — Update the progress of tasks (e.g., to 'Done' or 'In Progress') programmatically from your conversation
- Facility Tracking — List and inspect physical sites and areas where your assets and team members reside
- User Coordination — List team members and manage assignees for specific maintenance tasks effortlessly
The MaintainX MCP Server exposes 8 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 MaintainX to LlamaIndex via MCP
Follow these steps to integrate the MaintainX 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 8 tools from MaintainX
Why Use LlamaIndex with the MaintainX MCP Server
LlamaIndex provides unique advantages when paired with MaintainX through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine MaintainX tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain MaintainX tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query MaintainX, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what MaintainX tools were called, what data was returned, and how it influenced the final answer
MaintainX + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the MaintainX MCP Server delivers measurable value.
Hybrid search: combine MaintainX real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query MaintainX 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 MaintainX for fresh data
Analytical workflows: chain MaintainX queries with LlamaIndex's data connectors to build multi-source analytical reports
MaintainX MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect MaintainX to LlamaIndex via MCP:
create_new_work_order
Requires title. Create a new maintenance work order
get_asset_details
Get metadata for a specific asset
get_work_order_details
Get details for a specific work order
list_facility_locations
List facility locations
list_maintenance_assets
List all physical assets and equipment
list_maintenance_orders
Use optional params for filtering. List all work orders
list_team_members
List all users in the MaintainX account
update_work_order_status
g., "DONE", "IN_PROGRESS"). Change the status of a work order
Example Prompts for MaintainX in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with MaintainX immediately.
"List all open work orders in MaintainX."
"Update the status of work order ID '123' to 'DONE'."
"Show details for the asset with ID 'asset-abc'."
Troubleshooting MaintainX MCP Server with LlamaIndex
Common issues when connecting MaintainX to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMaintainX + LlamaIndex FAQ
Common questions about integrating MaintainX 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 MaintainX 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 MaintainX to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.