Can I update the status of a work order through the agent?

Yes. The `update_order_status` tool allows your AI agent to change the lifecycle status of any service order (e.g., to 'InProgress' or 'Completed') so you can manage dispatching directly through chat.

How do I see the contact details for a field technician?

You can use the `get_employee_profile` tool. Simply provide the unique employee ID, and your agent will return their full profile details, including contact information and assigned skills.

Is it possible to list all service locations for a customer?

Absolutely. Using the `list_service_locations` tool, you can retrieve a list of all physical sites and addresses registered in your WorkWave instance, helping you coordinate where jobs need to be performed.

WorkWave MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: WorkWave
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add WorkWave as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 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 WorkWave. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in WorkWave?"
    )
    print(response)

asyncio.run(main())

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* 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 WorkWave MCP Server

Connect your WorkWave Service account to any AI agent and manage your field service operations through natural conversation.

LlamaIndex agents combine WorkWave 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

Service Orders — Browse and list all work requests, retrieve full details for specific orders, and update lifecycle statuses (e.g., InProgress, Completed)
Customer Accounts — List all field service accounts and retrieve comprehensive details including contact info, billing history, and service locations
Field Personnel — List all registered technicians and field staff, and retrieve profile details to check roles, skills, and contact info
Equipment Inventory — Monitor and audit managed assets and equipment used across your field service operations directly from your agent
Site Discovery — Retrieve physical service locations and job site addresses, including geographical coordinates for routing purposes
Operational Insights — Quickly find unique account, order, employee, and location IDs required for automated field service workflows
Health Monitoring — Verify the connectivity and status of your WorkWave API integration to ensure real-time data sync

The WorkWave 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 WorkWave to LlamaIndex via MCP

Follow these steps to integrate the WorkWave 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 WorkWave

Why Use LlamaIndex with the WorkWave MCP Server

LlamaIndex provides unique advantages when paired with WorkWave through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine WorkWave tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain WorkWave tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query WorkWave, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what WorkWave tools were called, what data was returned, and how it influenced the final answer

WorkWave + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the WorkWave MCP Server delivers measurable value.

Hybrid search: combine WorkWave real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query WorkWave 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 WorkWave for fresh data

Analytical workflows: chain WorkWave queries with LlamaIndex's data connectors to build multi-source analytical reports

WorkWave MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect WorkWave to LlamaIndex via MCP:

get_account_details

Retrieves details for a specific customer account

get_api_health

Checks the health and connectivity of the WorkWave API integration

get_employee_profile

Retrieves profile details for a specific employee

get_order_details

Retrieves details for a specific service order

list_field_employees

Lists technicians and field staff registered in WorkWave

list_field_service_accounts

Lists customer accounts in the WorkWave Service platform

list_service_equipment

Lists managed equipment and assets used in field service

list_service_locations

Lists physical service locations and job sites

list_service_orders

Lists service orders and work requests

update_order_status

g. mark as Pending, InProgress, or Completed). Updates the lifecycle status of a service order

Example Prompts for WorkWave in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with WorkWave immediately.

"List all active service orders in WorkWave."

"Update order #ORD-101 status to 'InProgress'."

"Find the profile for technician ID 'tech-555'."

Troubleshooting WorkWave MCP Server with LlamaIndex

Common issues when connecting WorkWave to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

WorkWave + LlamaIndex FAQ

Common questions about integrating WorkWave MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query WorkWave tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.