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ServiceM8 MCP Server for Pydantic AIGive Pydantic AI instant access to 9 tools to Create Job, Get Company, Get Job, and more

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ServiceM8 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The ServiceM8 app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to ServiceM8 "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in ServiceM8?"
    )
    print(result.data)

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.

Pydantic AI validates every ServiceM8 tool response against typed schemas, catching data inconsistencies at build time. Connect 9 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 9 tools from ServiceM8 with type-safe schemas

Why Use Pydantic AI with the ServiceM8 MCP Server

Pydantic AI provides unique advantages when paired with ServiceM8 through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ServiceM8 integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your ServiceM8 connection logic from agent behavior for testable, maintainable code

ServiceM8 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the ServiceM8 MCP Server delivers measurable value.

01

Type-safe data pipelines: query ServiceM8 with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple ServiceM8 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query ServiceM8 and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock ServiceM8 responses and write comprehensive agent tests

Example Prompts for ServiceM8 in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting ServiceM8 to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ServiceM8 + Pydantic AI FAQ

Common questions about integrating ServiceM8 MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your ServiceM8 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.