Get answers and take action with context from your Jobber account
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Lloyd by The L Suite
Inhouse counsel insights for members of The L Suite
Voluum
Manage and analyze your Voluum ad-tracking campaigns directly from Claude.
Rockhopper
The audit trail and governance layer for every file your team and your AI touch.
Tines 3B
Create, test, and ship apps, agents, and automations on Tines 3B without leaving Claude.
Cloverleaf
Bring Cloverleaf's personality insights into Claude to understand how you and your colleagues work together, and get coaching grounded in real assessment data, not generic advice.
Motherboard
Jobber reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Jobber is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Jobber reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Jobber has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend Jobber for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Jobber is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We evaluated Jobber against two servers with overlapping tools; this profile had the clearer scope statement.
We wired Jobber into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
According to our notes, Jobber benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Jobber for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
showing 1-10 of 51
Share your MCP server with the developer community
Select a client to integrate this server.
Manual configuration
{
"mcpServers": {
"jobber": {
"url": "https://mcp.getjobber.com/mcp"
}
}
}Sign in: Required.
Get answers and take action with context from your Jobber account
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Read your company's service tickets, equipment records, SOPs and service manuals in Claude, with your existing Motherboard permissions.