Giddyup MCP for AI. Manage job statuses, leads, and crews by conversation.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
Giddyup coordinates entire construction lifecycles for field service teams. It lets you manage everything from initial lead capture to final job dispatching, all through natural conversation.
Use your AI client to check job statuses in real-time, list active projects, update crew requirements, and track customer history without touching a spreadsheet.
What your AI can do
Check giddyup status
Verifies that the connection to Giddyup is active.
Create job
Initiates a new construction job record in your system.
Create lead
Adds a new potential customer lead to the directory.
Create new potential client records or pull up existing lead details.
Get real-time status updates, detailed requirements, and the full history for any active construction job.
List or retrieve complete profiles for all your existing customers to coordinate field efforts.
Access and list billing records, including past invoices for the accounts.
See a roster of active technicians to confirm who is assigned to what job.
Ask an AI about this
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Giddyup MCP: 13 Tools for Field Services
Use these tools via your agent to read data (like customer lists or jobs) or write data (like creating a lead or updating job status) directly from the chat.
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 Giddyup on VinkiusCheck Giddyup Status
Verifies that the connection to Giddyup is active.
Create Job
Initiates a new construction job record in your system.
Create Lead
Adds a new potential customer lead to the directory.
Get Customer
Retrieves detailed information for a specific, known customer.
Get Job
Pulls all technical details and status updates for a single job ID.
Get Lead
Fetches specific data points about a single lead record.
List Customers
Returns a list of all current customers in your directory.
List Invoices
Retrieves a list of billed invoices for accounts.
List Jobs
Lists all active and completed jobs on site.
List Leads
Provides a list view of all collected potential leads.
List Users
Shows the roster and status of your field technicians.
Update Job
Modifies specific details, like status or completion date, for an existing job.
Update Lead
Changes contact information or status on a specific lead record.
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 Giddyup, 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 Giddyup. 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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Sandboxed per request
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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 13 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Dealing with fragmented project data is exhausting.
Today, checking a job status means jumping from your internal CRM to the dispatch board, then maybe opening an email chain just to see who last spoke to the client. You copy-paste IDs across three different screens until you find what you need. It's slow and prone to human error.
With this MCP, you tell your agent what job ID or customer name you have, and it pulls all that required information in one go. The AI acts as a single window into the entire operation, giving you a clear status update instantly.
Giddyup MCP: Job Status Checks
You no longer have to open `get_job` for every project. You just ask your agent about the job ID, and it pulls the technical details right into the chat window. This means zero context switching.
What's different now is that you get immediate operational visibility without leaving your workflow. It’s a single conversation managing complex construction logistics.
What your AI can actually do with this
Running construction or roofing jobs means juggling dozens of moving parts—leads, crews, materials, billing. This MCP connects directly into your Giddyup account, putting all that data at your fingertips via natural language commands. You tell your agent what you need to know; it handles the lookups and reporting. Whether you're trying to get a full overview of the entire construction pipeline or just checking if the crew for Maple St.
Residence has everything they need, this MCP gets it done. It lets your AI client act like an on-site operations manager who knows every job detail. If managing these complex operational workflows is critical, connecting Giddyup through Vinkius gives you one place to manage it all.
019dd0fa-1df8-71bd-95f8-b992c0264dc2 Here's how it actually works
The bottom line is you talk to your construction CRM using plain English instead of clicking through menus and filling out forms.
Subscribe to the Giddyup MCP and retrieve your API Authentication Key from your Giddyup settings.
Connect this MCP key into any compatible AI client, like Claude or Cursor.
Ask your agent a question—for example, 'What is the status of job J-12345?'—and get an immediate, actionable answer.
Who is this actually for?
This MCP is for Ops Leaders and Project Managers tired of jumping between spreadsheets, CRMs, and dispatch boards. If coordinating multiple crews on complex jobs feels like a full-time job itself, you need this.
Uses the MCP to check live job statuses and pull customer requirements instantly without leaving their primary workspace.
Monitors the entire construction pipeline, running automated queries to spot bottlenecks across multiple sites.
Manages incoming leads and updates contact details for prospects directly through their AI agent.
What Changes When You Connect
Stop switching between tabs. You can check a job's status or update crew requirements using the get_job tool, all through chat. No more manual data entry.
Never lose track of new business. Use list_leads and then call update_lead to instantly capture contact info for any promising prospect.
Get a full operational picture without opening dashboards. Ask your agent to list active projects using list_jobs, and it gives you the status rundown immediately.
Coordination is simple. Pull up customer history with get_customer before dispatching a crew, so everyone knows exactly what they're showing up for.
Accountability improves when you can see who’s working where. Use list_users to verify which technicians are available or assigned.
See it in action
The crew needs a status update before they drive out.
A Project Manager asks, 'What's the latest on Maple St. Residence?' The agent uses get_job and reports back: 'It’s currently in Production; the estimated completion date is next Friday.' This confirms the crew doesn't waste time driving to a job that isn't ready.
Sales needs to capture details from a new prospect at a site.
The Sales Coordinator uses their agent to call create_lead with the name and address of a potential client. Then, they use get_lead shortly after to pull contact info for follow-up emails.
Operations needs to confirm staffing before dispatching.
An Operations Director asks, 'Are there enough people available next week?' The agent calls list_users, confirming that the necessary number of technicians are free and assigned appropriately for multiple sites.
The job scope changed mid-project.
A Project Manager realizes a specific detail needs fixing. They use their agent to call update_job with the new scope and requirements, ensuring all field documentation is current before the crew arrives.
The honest tradeoffs
Trying to find job details by remembering an old invoice ID.
A user searches their spreadsheet for 'Invoice #401' and then has to manually cross-reference the customer name against a separate CRM tab to get the job ID.
Just ask your agent. Tell it, 'Show me the active jobs associated with the account that paid Invoice #401.' The MCP handles the data join using list_invoices and then get_job.
Updating a lead's phone number across three different systems.
A sales rep gets new contact info for Acme Corp. They manually update the spreadsheet, the CRM system, and the accounting platform—three separate logins required.
Use update_lead once within your AI client. The agent handles pushing that single data change across all necessary records.
Listing jobs but forgetting to check if they are complete.
A manager runs a simple list of all jobs and gets 50 entries, spending minutes manually filtering out the ones already paid for or closed.
Ask your agent: 'Show me only the open construction projects.' The MCP handles the necessary filters when calling list_jobs.
When It Fits, When It Doesn't
Use this MCP if your job involves constantly moving data between lead tracking, active job statuses, and customer profiles. It’s best for field service companies where coordination is everything. Don't use it if you only need to manage simple documents, like just listing invoices or scheduling meetings; those are better handled by dedicated calendar tools. If your core problem is coordinating people and physical assets on a construction site, this MCP lets you centralize the information flow by giving your agent access to both list_customers and update_job. If you only need basic data retrieval without modification capabilities, other simple lookup tools will suffice.
Questions you might have
How do I check the status of an existing job using the `get_job` tool? +
You simply ask your agent for details on the specific job ID. It uses get_job to pull the project's current stage, crew assignment, and estimated completion date into your chat.
Can I use `list_customers` to find out who needs service? +
Yes. You can call list_customers first to see all accounts, then ask the agent about specific customer profiles using get_customer for deeper details.
What if I need to update a job's status? Do I use `update_job`? +
That’s right. You tell your agent what needs changing—like marking it 'Completed' or changing the date—and it uses update_job to write that change back into the system.
Does Giddyup MCP help me with new leads? +
Absolutely. You can use your agent to call create_lead and capture a promising prospect’s information right away, or check out existing records using get_lead.
What information can I get by calling the `list_invoices` tool? +
The tool returns a list of all your past invoices. You'll see details like invoice numbers, issue dates, and payment statuses for quick financial oversight.
How do I check which technicians are available using `list_users`? +
list_users provides a roster of your field staff. You can retrieve names, contact details, and assigned roles to plan crew assignments before dispatching work.
What data do I need to provide when using the `create_job` tool? +
You must supply key project information like the service address, scope of work, and initial client details. This starts a new job record in your system.
How can I verify that my connection is working correctly using `check_giddyup_status`? +
Running this tool verifies the live connectivity between your AI agent and Giddyup. It confirms that your authentication key works and the platform is operational.
How do I find my Giddyup API Key? +
Log in to your Giddyup account and navigate to the Custom Application Integration settings to generate your unique authentication key.
Can I list specific roofing jobs by ID? +
Yes! Use the get_job tool and provide the unique job identifier to retrieve detailed technical data and status updates.
Does this integration support customer profile retrieval? +
Absolutely. The list_customers tool allows you to retrieve your entire client directory for better field coordination.
We've already built the connector for Giddyup. Just plug in your AI agents and start using Vinkius.
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All 13 tools are live and waiting.
You're up and running in seconds.
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