Jobber MCP Server
Enables AI assistants to access and manage Jobber field-service data including clients, jobs, invoices, and quotes through natural language interactions.
README
Jobber MCP Server
An MCP server for Jobber — connect any MCP-compatible client to your Jobber field-service data.
What is this?
An MCP (Model Context Protocol) server that gives AI assistants and agents access to your Jobber data — clients, jobs, invoices, and quotes — 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.
Tools
| 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 |
Quick Start
1. Install
npm install jobber-mcp-server
Or run directly with npx:
npx jobber-mcp-server
2. Configure
Create a .env file or set environment variables:
# Required: Jobber API credentials
JOBBER_CLIENT_ID=your_client_id
JOBBER_CLIENT_SECRET=your_client_secret
JOBBER_ACCESS_TOKEN=your_access_token
# Optional: use mock data for testing (no Jobber account needed)
JOBBER_MOCK_MODE=true
3. Add to your MCP client
Add to your MCP client config (e.g. Claude Desktop's claude_desktop_config.json):
{
"mcpServers": {
"jobber": {
"command": "npx",
"args": ["-y", "jobber-mcp-server"],
"env": {
"JOBBER_ACCESS_TOKEN": "your_token",
"JOBBER_CLIENT_ID": "your_client_id",
"JOBBER_CLIENT_SECRET": "your_client_secret"
}
}
}
}
Or with a local install:
{
"mcpServers": {
"jobber": {
"command": "node",
"args": ["/path/to/jobber-mcp-server/dist/index.js"],
"env": {
"JOBBER_MOCK_MODE": "true"
}
}
}
}
Demo
Try it instantly with mock data — no Jobber account required:
JOBBER_MOCK_MODE=true npx jobber-mcp-server
Then ask your MCP client:
- "List all my clients"
- "Show me the details for client-101"
- "What jobs are assigned to Alex Reyes?"
- "Create a quote for Northwind Roofing: 2 hours of emergency repair at $150/hr"
- "Which invoices are overdue?"
Example output
Client list:
Found 3 clients:
**Marlene Okonkwo** _(active)_ — id: client-101
- Email: marlene@example.com
- Phone: +1-555-0142
- Address: 412 Birchwood Ln, Boulder, CO, 80302
- Lifetime spend: $4,280.00
**Northwind Roofing LLC** _(active)_ — id: client-102
- Email: ops@northwindroofing.example
- Phone: +1-555-0177
- Address: 8800 W Industrial Blvd, Denver, CO, 80221
- Lifetime spend: $28,400.00
- Outstanding balance: $1,200.00
**Devon Park** _(lead)_ — id: client-103
- Email: devon.park@example.com
- Phone: +1-555-0193
Quote creation:
✅ Created quote **Q-0072** for Northwind Roofing LLC
## Quote Q-0072 — Emergency repair — 2 hours
- **Status:** awaiting_response
- **Client:** Northwind Roofing LLC _(client-102)_
- **Created:** 2026-06-05 12:00 UTC
**Line items:**
| # | Item | Qty | Unit | Total |
|---|------|-----|------|-------|
| 1 | Emergency repair | 2 | $150.00 | $300.00 |
**Subtotal:** $300.00
**Total:** $300.00
Jobber API Setup
To use with your real Jobber account:
- Go to Jobber Developer Portal
- Create an app and get your
client_idandclient_secret - Complete OAuth flow to get an
access_token - Add credentials to
.envor MCP client config
The server uses Jobber's GraphQL API (https://api.getjobber.com/api/graphql).
Architecture
┌──────────────┐ stdio (JSON-RPC) ┌──────────────────┐
│ MCP Client │ ◄──────────────────────► │ jobber-mcp- │
│ (Claude, │ │ server │
│ Cursor, │ │ │
│ etc.) │ │ ┌────────────┐ │
└──────────────┘ │ │ Mock Data │ │
│ │ (testing) │ │
│ └────────────┘ │
│ │ │
│ ┌─────▼──────┐ │
│ │ Jobber API │ │
│ │ (GraphQL) │ │
│ └────────────┘ │
└──────────────────┘
Development
git clone https://github.com/nova-research/jobber-mcp-server.git
cd jobber-mcp-server
npm install
npm run build
npm run inspect # opens MCP Inspector for testing
Use Cases
- Field service operators — Ask your AI assistant about today's jobs, overdue invoices, or client history
- Office managers — Create quotes and check job status without opening Jobber
- AI agents — Automate follow-ups, generate reports, or trigger workflows based on Jobber data
- Accounting integration — Pull invoice data into AI-powered financial analysis
License
MIT
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