JobNimbus MCP. Automate field service operations and project management.
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JobNimbus. Connect your AI client to the JobNimbus CRM API to manage construction and field service operations. Your agent can list and retrieve contacts, track jobs, manage tasks, and monitor payments directly within the system.
It's built for automating project management and client data tracking for contractors.
What your AI agents can do
Get contact
Pulls all details—address, phone, email, and custom fields—for a specific customer contact.
Get job
Retrieves a job's description, associated contact IDs, and its current workflow status.
List boards
Lists every configured board in the JobNimbus account structure.
The agent gets a contact's name, address, phone number, email, and any custom data fields.
The agent pulls a job's description, associated contact ID, and its current status in the workflow.
The agent fetches comprehensive lists of contacts, jobs, payments, tasks, products, and more for overview and auditing.
The agent lists all configured boards, users, and defined business workflows for navigation.
The agent lists all recent payments and available products to track billing and service offerings.
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JobNimbus MCP Server: 10 Tools for Project Management
Use these 10 tools to pull contact details, job statuses, task lists, and payment records from JobNimbus directly into your chat.
019d75bdget contact
Pulls all details—address, phone, email, and custom fields—for a specific customer contact.
019d75bdget job
Retrieves a job's description, associated contact IDs, and its current workflow status.
019d75bdlist boards
Lists every configured board in the JobNimbus account structure.
019d75bdlist contacts
Lists basic client information, including names, types, and IDs, across all contacts.
019d75bdlist jobs
Provides a list of all active jobs, showing titles, statuses, and unique IDs.
019d75bdlist payments
Lists records of recent payments for billing and revenue tracking.
019d75bdlist products
Lists all services and products available for billing and auditing.
019d75bdlist tasks
Lists all pending tasks, including descriptions, due dates, and IDs.
019d75bdlist users
Lists all users who have access to the organization's account.
019d75bdlist workflows
Lists all configured business processes and workflow steps in the company.
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 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
You're connecting your AI client directly to JobNimbus. Your agent can handle the entire lifecycle of your construction or field service projects, from gathering initial client info to tracking the final payment. You'll use this server to automate project management and keep tabs on all your client data without ever leaving your chat interface.
Client Data & Contact Management:
Your agent can get a specific contact's full details, pulling their name, address, phone, email, and any custom fields using get_contact. You can also pull a basic list of all contacts—just names, types, and IDs—with list_contacts.
Project & Job Tracking:
To analyze a specific project, your agent pulls the job's description, associated contact IDs, and its current workflow status via get_job. You can also see a list of all active jobs, including their titles, statuses, and unique IDs, by calling list_jobs. You'll also get a list of all pending tasks, pulling descriptions, due dates, and IDs using list_tasks.
Financial & Product Status:
Your agent can list all recent payments for revenue tracking using list_payments. It also lists all services and products available for billing or auditing via list_products. You'll get a list of all available jobs, and you can list all configured boards in the JobNimbus account structure with list_boards.
Organizational Auditing:
To map out your company structure, your agent can list all configured business processes and workflow steps using list_workflows. You can list all users who have access to the organization's account using list_users.
How JobNimbus MCP Works
- 1 You prompt your AI client to perform a task, such as 'Check the status of the Smith job.'
- 2 The agent identifies the need and calls the relevant tool, like
get_job, passing the required parameters (e.g., job ID). - 3 The server executes the API call and returns the structured data (e.g., status, description) to your agent, which then formats it for you.
The bottom line is, your AI client talks to the JobNimbus API directly, letting you automate complex operations without manual clicks.
Who Is JobNimbus MCP For?
Operations managers, project coordinators, and field service dispatchers. If you spend your days manually checking job status across different dashboards or compiling client data before a sales call, this is for you. It cuts out the swivel-chair workflow, giving your agent direct access to the core data.
Uses the server to track project progress across multiple sites, ensuring that when a job hits a critical status, the team is immediately alerted via a structured report.
Retrieves contact details (get_contact) and job statuses (get_job) to prepare comprehensive project briefs for stakeholders, saving hours of manual data compilation.
Runs list_tasks and list_jobs to quickly see what needs attention today and what resources are available, optimizing daily crew assignments.
What Changes When You Connect
- See a client's full profile, including addresses and custom fields, instantly with
get_contact. You don't have to switch tabs to get deep customer intelligence. - Get a bird's-eye view of all projects using
list_jobsandlist_tasks. You can track status changes and upcoming work from one prompt. - Audit billing history by listing payments with
list_payments. You know exactly what was paid and when, without running a report in the UI. - Map out your business processes by running
list_workflows. You see the entire lifecycle of a job, not just the current step. - Find team members or roles by using
list_users. You know who has access to what, which is key for compliance and delegation. - Check available services and pricing by running
list_products. You can confirm billing items before talking to the client.
Real-World Use Cases
Client Onboarding and Vetting
A sales rep needs to vet a new prospect. Instead of filling out a web form, they ask their agent to get_contact for the prospect's details. The agent returns the address, phone, and all custom fields in a clean markdown block, letting the rep immediately draft a tailored pitch.
Status Check on a Critical Job
The project manager needs an immediate status update on Job #456. They prompt the agent to run get_job. The agent returns the job's description and current workflow status, letting the PM know if the crew is stuck on a specific step or if it's ready for the next phase.
Billing Reconciliation
The bookkeeper needs to confirm if a specific project was paid for. They ask the agent to list_payments. The agent runs the tool and provides a list of recent payments, allowing the bookkeeper to confirm revenue status instantly.
Daily Task Audit
The team lead needs to know what the crew should be doing today. They ask the agent to list_tasks. The agent returns all pending tasks, including due dates, letting the team lead assign work and track completion right away.
The Tradeoffs
Assuming data is local
Telling the agent, 'Just look at the contact list for Jane.' This fails because the agent can't guess the data source or the required ID.
→
Be specific: 'Use list_contacts to find Jane's ID, then use get_contact with that ID to get all the necessary details.' Always chain tools.
Over-relying on lists
Asking the agent, 'Show me the job details.' This is too vague; the agent only gets a list of jobs, not a specific one.
→
First, use list_jobs to find the specific job ID. Then, run get_job using that ID to get the full project description and status.
Trying to update without context
Saying, 'Mark the job as complete.' The agent can't update anything without knowing the job ID or the current workflow context.
→
You must first use list_jobs to get the job ID, then provide the ID and the desired status to the agent.
When It Fits, When It Doesn't
Use this server if your primary bottleneck is accessing and synthesizing data from JobNimbus. You need to automate the process of pulling specific records (like a single contact or a single job) or getting a broad overview (like all tasks or all payments).
Don't use this if you only need to read basic data that is already in your AI client's context, or if your process requires modifying the underlying API structure (e.g., creating a new field type). This server is read-heavy and designed for data consumption and reporting.
If you need to compare JobNimbus data against another system (e.g., Salesforce), you'll need an intermediary tool that handles the data mapping. If you just need a list of all available services, list_products works. If you need to know the steps of a specific workflow, use list_workflows to understand the structure first.
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 server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Manually collecting client and job data is a total time sink.
Think about it: to prepare for a client meeting, you usually open the CRM. Then you click the client's name. You copy the address to a spreadsheet. You open a second tab to check the job status. Then you click over to the tasks dashboard to see what needs to be done. You end up copy-pasting data across three or four different screens just to build a single summary.
With the JobNimbus MCP Server, your agent handles that sequence. You simply ask for the project brief. The agent runs `get_contact` for the client, runs `get_job` for the project, and combines the data—all in one go. You get the final summary without leaving the chat.
JobNimbus MCP Server: Manage all your project data.
Manual tracking involves logging into the CRM, navigating to the Jobs tab, filtering by date, and then manually scrolling through each job to confirm its current status or finding the contact ID for billing. It’s slow, and you always miss something.
Now, your agent runs `list_jobs` to get all titles and IDs, and then uses `get_job` to deep-dive into the specific project you care about. You get a reliable, structured data output that tells you exactly where the project stands, every single time.
Common Questions About JobNimbus MCP
How do I use `get_contact` with JobNimbus MCP Server? +
You pass the contact ID to get_contact. It returns all associated data—address, phone, email, and custom fields—in one go. This is useful when you need deep intelligence on a client before calling them.
Can I list all my jobs using `list_jobs` in JobNimbus MCP Server? +
Yes, list_jobs runs a simple query and gives you a list of titles, statuses, and IDs for all your active jobs. It's the best starting point for a project audit.
Does `get_job` need a specific job ID? +
Yes. get_job requires the unique job ID. Once you have that ID (maybe from list_jobs), you pass it to get_job to retrieve the full project details.
Is `list_tasks` the right tool for daily work tracking? +
Yes. list_tasks returns a list of all pending tasks, including descriptions and due dates. It's the primary tool for auditing team workload.
How do I check payments using `list_payments` with JobNimbus MCP Server? +
You simply call list_payments. It provides a list of recent payments, which is perfect for quickly reconciling revenue and billing status.
How do I find all my clients using the `list_contacts` tool? +
The list_contacts tool returns names, contact types, and IDs for all clients. This list helps you identify who needs attention or start a search for a specific customer.
What information does the `get_contact` tool provide? +
The get_contact tool provides deep details, including addresses, phone numbers, email, and custom fields. You use this data to get a full picture of a customer before you talk to them.
Is there a way to view all configured workflows using `list_workflows`? +
Yes, the list_workflows tool lists every configured workflow in your account. This lets you understand the steps in your company's business processes.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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