ServiceM8 MCP Server for LlamaIndexGive LlamaIndex instant access to 9 tools to Create Job, Get Company, Get Job, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ServiceM8 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 App Connector for LlamaIndex
The ServiceM8 app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 ServiceM8. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in ServiceM8?"
)
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 ServiceM8 MCP Server
Connect your ServiceM8 account to any AI agent and take full control of your field service management workflows through natural conversation. ServiceM8 is the ultimate platform for trade and service businesses, and this integration allows you to orchestrate jobs, coordinate staff, and manage client relations without leaving your chat interface.
LlamaIndex agents combine ServiceM8 tool responses with indexed documents for comprehensive, grounded answers. Connect 9 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
- Job & Task Orchestration — List all managed jobs and retrieve detailed metadata, including status and scheduled times programmatically.
- Staff & Team Coordination — Access and monitor your staff directory to maintain a clear overview of team assignments and availability directly from the AI interface.
- Client CRM Control — List and search through your client and contact database to keep your professional records synchronized via natural language.
- Job Activity Tracking — Access real-time activity logs for specific jobs to monitor progress and ensuring high-quality service delivery.
- Operational Monitoring — Track job categories and manage system metadata to ensure your field service operations are always optimized.
The ServiceM8 MCP Server exposes 9 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.
All 9 ServiceM8 tools available for LlamaIndex
When LlamaIndex connects to ServiceM8 through Vinkius, your AI agent gets direct access to every tool listed below — spanning job-scheduling, work-orders, field-operations, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Requires description and company_uuid. Create a new ServiceM8 job
Get details for a specific company
Get details for a specific job
List job categories
List all companies (clients)
List all company contacts
Get activity history for a job
List all ServiceM8 jobs
List ServiceM8 staff members
Connect ServiceM8 to LlamaIndex via MCP
Follow these steps to wire ServiceM8 into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the ServiceM8 MCP Server
LlamaIndex provides unique advantages when paired with ServiceM8 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ServiceM8 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ServiceM8 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ServiceM8, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ServiceM8 tools were called, what data was returned, and how it influenced the final answer
ServiceM8 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ServiceM8 MCP Server delivers measurable value.
Hybrid search: combine ServiceM8 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ServiceM8 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 ServiceM8 for fresh data
Analytical workflows: chain ServiceM8 queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for ServiceM8 in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ServiceM8 immediately.
"List all our active jobs on ServiceM8."
"Show me all staff members in the organization."
"Fetch the activity history for job UUID 550e8400-e29b-41d4-a716-446655440000."
Troubleshooting ServiceM8 MCP Server with LlamaIndex
Common issues when connecting ServiceM8 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpServiceM8 + LlamaIndex FAQ
Common questions about integrating ServiceM8 MCP Server with LlamaIndex.