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ServiceM8 MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 9 tools to Create Job, Get Company, Get Job, and more

Built by Vinkius GDPR 9 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ServiceM8 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Ask AI about this App Connector for OpenAI Agents SDK

The ServiceM8 app connector for OpenAI Agents SDK 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

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="ServiceM8 Assistant",
            instructions=(
                "You help users interact with ServiceM8. "
                "You have access to 9 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from ServiceM8"
        )
        print(result.final_output)

asyncio.run(main())
ServiceM8
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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 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.

The OpenAI Agents SDK auto-discovers all 9 tools from ServiceM8 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ServiceM8, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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.

create_job

Requires description and company_uuid. Create a new ServiceM8 job

get_company

Get details for a specific company

get_job

Get details for a specific job

list_categories

List job categories

list_companies

List all companies (clients)

list_contacts

List all company contacts

list_job_activity

Get activity history for a job

list_jobs

List all ServiceM8 jobs

list_staff

List ServiceM8 staff members

Connect ServiceM8 to OpenAI Agents SDK via MCP

Follow these steps to wire ServiceM8 into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 9 tools from ServiceM8

Why Use OpenAI Agents SDK with the ServiceM8 MCP Server

OpenAI Agents SDK provides unique advantages when paired with ServiceM8 through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

ServiceM8 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the ServiceM8 MCP Server delivers measurable value.

01

Automated workflows: build agents that query ServiceM8, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries ServiceM8, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through ServiceM8 tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query ServiceM8 to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for ServiceM8 in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ServiceM8 immediately.

01

"List all our active jobs on ServiceM8."

02

"Show me all staff members in the organization."

03

"Fetch the activity history for job UUID 550e8400-e29b-41d4-a716-446655440000."

Troubleshooting ServiceM8 MCP Server with OpenAI Agents SDK

Common issues when connecting ServiceM8 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

ServiceM8 + OpenAI Agents SDK FAQ

Common questions about integrating ServiceM8 MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.