MCP server for Jobber (home services SaaS) β exposes tools for clients, jobs, invoices, and quote...
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
An MCP server for Jobber β connect any MCP-compatible client to your Jobber field-service data.
An MCP (Model Context Protocol) server that gives AI assistants and agents access to your Jobber data β clients, jobs, invoices, and quotes β through a clean, typed API.
Use it with Claude Desktop, Cursor, Windsurf, Cline, or any MCP-compatible client to ask questions about your business data, create quotes, and manage field-service operations through natural language.
Add to your MCP client config (e.g. claude_desktop_config.json):
Or try with mock data first (no Jobber account needed):
Get API credentials at Jobber Developer Portal.
Ask your AI assistant things like:
| Tool | Description |
|---|---|
list_clients | List clients with optional search, lead filter, and limit |
get_client | Get a client by ID with contact info and recent jobs |
get_job | Full job detail: status, assignees, schedule, line items |
list_invoices | List invoices filtered by client and/or status |
get_invoice | Full invoice detail with line items and payment status |
create_quote | Create a new quote for a client with line items |
"Show me today's jobs and any overdue invoices" β start your morning with a full picture of what needs attention. No more logging into Jobber's dashboard first thing.
"What's the history with Northwind Roofing?" β pull up client details, recent jobs, and outstanding invoices before a site visit or sales call.
"Create a quote for Mrs. Chen: gutter cleaning, 1 hour, $120" β draft and send quotes from the field without switching apps.
"Show me all unpaid invoices over $500" β find overdue payments and follow up without manually filtering through Jobber's invoice list.
"Summarize Alex Reyes' jobs this week" β generate performance summaries for team meetings or payroll without pulling reports manually.
JOBBER_MOCK_MODE=true uses fake data with no API calls to Jobber.Verify your JOBBER_CLIENT_ID, JOBBER_CLIENT_SECRET, and JOBBER_ACCESS_TOKEN are correct. Tokens expire β check the Jobber Developer Portal for fresh credentials.
Make sure JOBBER_MOCK_MODE=true is set in your environment or MCP config. Mock mode creates sample clients, jobs, and invoices automatically.
Make sure Node.js 18+ is installed: node --version. If using npx, ensure npm is up to date: npm install -g npm@latest.
Verify the config path is correct. Claude Desktop uses ~/Library/Application Support/Claude/claude_desktop_config.json on macOS and %APPDATA%\Claude\claude_desktop_config.json on Windows. Restart the client after config changes.
Jobber's GraphQL API has ~200-500ms latency. Complex queries (e.g., listing clients with full job history) may take longer. Use list_clients with a limit parameter to speed up initial queries.
To use with your real Jobber account:
client_id and client_secretaccess_token.env or MCP client configJOBBER_MOCK_MODE=true for testingMIT
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