JobNimbus MCP for AI. Manage field service data from one place.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
JobNimbus connects your AI agent directly to jobsite operations data. This MCP lets you read contacts, track active jobs, list pending tasks, and audit organization workflows using the JobNimbus CRM API.
Need project status or client history? Your agent retrieves it instantly, eliminating manual logins across multiple systems.
What your AI can do
Get contact
Pulls deep details for one specific contact, including all addresses and phone numbers.
Get job
Retrieves the full project description and status update for a single job ID.
List boards
Lists all configured boards within your JobNimbus account structure.
The agent retrieves a specific contact’s full profile, including addresses, emails, and custom notes.
You can fetch the current details and workflow status for any single job ID to provide instant updates.
The agent lists every contact in the JobNimbus account, giving you a directory of clients and leads.
You can list all active tasks or review configured business workflows to understand operational processes.
The MCP allows listing recent payments and available products, helping track revenue and inventory.
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JobNimbus with 10 Tools
These tools let your AI client interact directly with every major module of JobNimbus: from contact details to payments.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using JobNimbus on VinkiusGet Contact
Pulls deep details for one specific contact, including all addresses and phone numbers.
Get Job
Retrieves the full project description and status update for a single job ID.
List Boards
Lists all configured boards within your JobNimbus account structure.
List Contacts
Returns a list of every contact, showing names and their type (client, lead, etc.).
List Jobs
Lists all active jobs, including titles, current status, and unique job IDs.
List Payments
Fetches a list of all recent payments recorded for billing and revenue tracking.
List Products
Lists every service or physical product offered, useful for auditing pricing structures.
List Tasks
Returns a list of all tasks, including who is assigned and when they are due.
List Users
Provides names and roles for every user set up in the organization's account.
List Workflows
Lists all configured business workflows, showing how processes move through stages.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with JobNimbus, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by JobNimbus. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Manual data gathering kills productivity every single week.
Right now, checking a client’s full history means logging into JobNimbus, finding their ID, opening the job file to see status updates, then maybe jumping over to another tab to check recent payments. It's clicks after clicks—the whole thing takes ten minutes just to get context.
With this MCP, you tell your agent what you need—say, 'Give me John Smith's full service history.' The agent handles the multiple internal data calls and spits out one clean summary. You get actionable intelligence without ever leaving your chat window.
The JobNimbus MCP gives instant visibility into project details.
You no longer have to guess if a job is stalled or just waiting for an internal review. You can request the specific job ID, and the agent pulls everything—the description, the associated contact IDs, and the current status in one shot.
It’s simple: you ask about a project, and you get its full story, instantly. That's how it should be.
What your AI can actually do with this
This connector gives your AI client access to a contractor's entire operational record in one place. You can pull details on specific clients—names, phone numbers, and custom notes—or look up the current status of any job. It’s built for field service operations; you can monitor everything from upcoming tasks to recent payments.
For instance, if you need to know which products are available or who works in the organization, this MCP handles it. Everything gets routed through your AI client and managed via Vinkius, so you don't have to switch between tabs or systems anymore.
019d75bd-5468-71c3-af67-be786d97d893 Here's how it actually works
The bottom line is that you stop writing API queries and start asking natural language questions about project operations.
Start by telling your AI client which data set you need (e.g., 'list all jobs').
Your agent calls the appropriate tool endpoint via this MCP, retrieving structured JSON data from JobNimbus.
The data is returned to your client in a clean format for immediate processing or display.
Who is this actually for?
This MCP serves the field service manager who has to jump between job boards, email threads, and billing software. It's for anyone whose day involves knowing exactly what client spoke to whom last week, or verifying if a specific project is actually paid for.
Uses the MCP to check job status (get_job) and verify tasks are assigned before dispatching crews.
Relys on listing payments (list_payments) and products (list_products) to reconcile invoices against completed jobs.
Runs searches using list_contacts and cross-references them with job lists (list_jobs) to prepare client status reports.
What Changes When You Connect
Stop manually checking status updates. By using list_jobs and get_job, your agent gives you an immediate project health report, telling you if the job is stalled or on track.
Never lose client context again. Instead of searching through emails, use get_contact to pull a contact’s full history—addresses, phones, custom notes—in seconds.
Keep cash flow visible. You can audit billing by running list_payments and cross-referencing those records against services listed via list_products. It keeps the books clean.
Streamline team accountability. When you need to know who's doing what, run list_tasks or check organization roles using list_users. It makes assigning work dead simple.
Understand process changes instantly. Use list_workflows to see how your company processes move through stages. This is critical for training new field teams.
See it in action
Preparing a client call summary
The Project Coordinator needs a quick rundown of John Doe's account before talking to him. They ask the agent to use list_contacts and then specifically run get_contact on his ID. The agent returns all recent notes, ensuring nothing gets missed in the meeting.
Verifying job completion payment
The Accountant needs confirmation that a recently finished project is billed correctly. They ask the agent to check list_jobs for the ID, then run get_job and finally check list_payments. This confirms status and money.
Onboarding a new field team
The Field Service Manager needs to understand current operations. They ask the agent to list all operational workflows using list_workflows and then check list_tasks to see which tasks are pending for review.
Checking product availability
A sales rep asks, 'What services can we sell this month?' The agent uses list_products, immediately generating a clean list of all available offerings and pricing items.
The honest tradeoffs
Assuming all data is in one place
Trying to find out if the project was paid for by just checking the contact record. The contact only holds names, not financial status.
You have to chain calls. First, run list_jobs to get the ID. Then use that ID with get_job. After confirming job scope, check payment status using list_payments.
Mixing up task lists and jobs
Thinking that every item in a 'task list' is a paid project. Tasks are just to-dos; they don't represent revenue.
Use list_tasks for daily work items, but always use list_jobs or get_job when you need information about actual projects and their status.
Ignoring user roles
Asking the agent to modify settings without knowing who has permission. You might try to run a high-level command that fails due to scope.
Always check list_users first. This verifies who is logged into the organization and what their basic role permissions are before attempting any complex action.
When It Fits, When It Doesn't
Use this MCP if your primary need is read-only access to operational data—client history, project status, or task lists. You need a single source of truth for job site context. Don't use it if you need to create new records (like creating a brand new contact from scratch) or modify complex financial ledger entries; those require different types of integration. If your goal is simply to view user permissions across multiple disconnected systems, this won't cut it; you'll need an identity management tool instead. However, if the core task involves 'What happened?' or 'What is the status?', then this MCP is necessary.
Questions you might have
How do I check if a client is paying on time using list_payments? +
You run list_payments to pull all recent transactions. You can then compare the dates and amounts listed there against the job status retrieved via get_job to see if payments align with project milestones.
Can I get a list of my contacts using list_contacts? +
Yes, running list_contacts immediately gives you an array of every contact in the system. This is useful for building out a directory or identifying groups of related clients.
What does get_contact do exactly? +
get_contact pulls comprehensive details about one specific person, including their primary mailing address, phone numbers, and any custom fields the company uses for notes.
Do I need to use list_jobs before using get_job? +
No. While running list_jobs helps you find a job ID, get_job only needs that specific ID to run. You can pass the ID directly.
How do I see what services are available for sale using list_products? +
list_products returns a catalog of every service and pricing item you have set up in JobNimbus, which is great for quick auditing or sales prep.
If a task is overdue, how do I check it using list_tasks? +
The tool returns due dates and descriptions for all tasks. You can instruct your AI client to filter the results by comparing the due date against today's date to flag anything past its deadline.
What specific information does list_workflows provide about my company's processes? +
It lists all configured workflows. The details show the sequence of steps and which actions or tools trigger them, allowing your agent to map out complex business logic.
When calling get_contact, what fields should my agent prioritize retrieving for deep intelligence? +
The tool pulls addresses, phone numbers, email, and custom fields. Your agent can target the custom fields specifically when looking for unique or proprietary client data points.
How do I get JobNimbus API credentials? +
Log in to your JobNimbus account, navigate to Settings > API, and click 'New API Key'.
Can I see my tasks and workflows? +
Yes, this MCP provides tools to list both active tasks and configured workflows in your account.
Does it support payment tracking? +
Yes, you can retrieve recent payments using the list_payments tool.
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