HiFlow MCP. Get the full project status, from job start to final invoice.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
HiFlow connects your agent directly to core business operations like jobs, customers, invoices, and estimates. It lets you trigger complex workflows—like onboarding a new client or approving payments—using natural conversation instead of clicking through multiple web dashboards.
What your AI agents can do
Create customer
Adds a brand new customer record to your system.
Get activity
Pulls summary data from the activity dashboard.
Get customer
Retrieves all specific details for one customer by ID.
Start a new client profile in your system.
Run full business workflows, like employee onboarding or project setup, and monitor their current status.
Get the full history for any specific invoice, estimate, or job record.
Pull comprehensive lists of every customer, job, invoice, or timesheet entry.
See information about the current connected user or pull summary dashboard metrics.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
HiFlow MCP: 12 Workflow & Process Tools
Use these 12 tools to read, write, and track every aspect of your company's operational data, from initial customer creation to final invoice generation.
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 HiFlow on Vinkius019dd102create customer
Adds a brand new customer record to your system.
019dd102get activity
Pulls summary data from the activity dashboard.
019dd102get customer
Retrieves all specific details for one customer by ID.
019dd102get estimate
Shows the full details of a single quote or estimate.
019dd102get invoice
Retrieves all billing and payment information for a specific invoice.
019dd102get job
Gets the status, details, and history for one specific job or project.
019dd102get me
Pulls basic information about the user currently connected to the system.
019dd102list customers
Provides a comprehensive list of every customer in your database.
019dd102list estimates
Lists all quotes (estimates) that have been created.
019dd102list invoices
Gives a list of every invoice generated.
019dd102list jobs
Retrieves a full list of all jobs and projects currently on file.
019dd102list timesheets
Pulls a comprehensive history of time entries logged by employees.
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 HiFlow, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,000+ 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 HiFlow. 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 server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Daily Grind of Business Data Checks
Right now, checking a client's status means jumping between systems. You open your CRM to find contact details. Then you switch over to the project management tool just to see if they have active jobs. Next, you pull up the billing portal to check outstanding invoices. It's copy-pasting IDs and clicking through 4 or 5 different screens just to get a full picture.
With this MCP connection, that sequence disappears. You talk to your agent and say, 'Give me the status for Client X.' The system runs all those checks behind the scenes—the CRM lookup, the job list retrieval, the invoice check—and hands you one coherent answer.
HiFlow MCP: Direct Access to Records
You'll stop having to manually initiate a new client profile using the web form. You can just ask your agent, 'Create a customer for Acme Corp,' and it handles calling `create_customer` instantly.
The result is faster work cycles. Your AI client doesn't wait for you to click buttons; it executes the necessary API calls—be it `get_estimate`, or `list_timesheets`—and gives you the answer immediately.
What you can do with this MCP connector
This MCP gives your AI client access to the heart of your company's operational data. Instead of opening ten different tabs to check on status updates, approve invoices, or pull up customer history, you talk to your agent and it handles the calls across all these systems. You can start a complex process—say, setting up a new job—and track every step from creation through final billing.
When an approval is needed, you simply ask for the pending steps and get actionable results. For instance, if a customer needs an update on their account, your agent doesn't just pull general contact info; it can retrieve all past jobs, see recent estimates, and confirm who currently owns the record.
Vinkius hosts this connection so you connect once to get access to these critical business tools.
019dd102-c089-7244-96a4-747c61862a09 
How HiFlow MCP Works
- 1 Tell your AI client what you need to achieve, such as 'I need an invoice for Job #123.'
- 2 The MCP translates that request into the necessary sequence of tool calls (e.g., first calling
get_job, then callingget_invoicewith the resulting ID). - 3 Your agent receives structured data about the job and the associated financial records, presenting it to you in a single, conversational response.
The bottom line is your AI client performs the multi-step lookups and data gathering that used to take several clicks across different software programs.
Who Is HiFlow MCP For?
Anyone who spends time moving data between multiple enterprise systems needs this. This works for operations leads, account managers, and finance personnel—anyone whose job involves checking a record in one place and updating it based on information from another.
Needs to check if a customer has pending invoices or recent jobs before calling them. They use this MCP to pull up full account history immediately.
Has to start new projects, track progress, and ensure all related timesheet entries are logged against the correct job ID without opening multiple project dashboards.
Needs to verify if an estimate was converted into a final invoice and pull up both records for reconciliation purposes.
What Changes When You Connect
- You don't have to juggle tabs. Instead of opening separate screens for customer data and job records, your agent combines all necessary details in one response.
- Approval work gets faster. If you need to approve a payment or advance a workflow step, the MCP handles the transaction directly through your AI client, eliminating manual confirmation clicks.
- No more guessing on status. Need to know what happened with Client X? You can call
list_jobsand then useget_jobfor specific details, getting a clear timeline every time. - Better data hygiene starts here. When you need to add a new client or project, the agent handles calling
create_customer, ensuring all required fields are filled out correctly before saving. - Tackle billing history instantly. You can quickly check if an estimate was used for an invoice by chaining calls between
get_estimateandlist_invoices.
Real-World Use Cases
Onboarding a new client after a meeting
The Account Manager needs to start the process. They ask their agent, 'Set up John Doe.' The agent uses create_customer, then calls list_jobs and suggests starting a new project for him, minimizing manual entry.
Reconciling job costs at month-end
The Project Coordinator needs to know the total billable time. They ask their agent to pull all records from list_timesheets and cross-reference them against open jobs using get_job.
Following up on overdue payments
The Bookkeeper needs status updates for a client who hasn't paid. They ask the agent to pull list_invoices, filter by past due, and then use get_invoice to find the last payment date.
Verifying project scope changes
The Coordinator suspects the original estimate was wrong. They ask the agent to compare the initial quote using get_estimate against the current job details retrieved via get_job, highlighting discrepancies immediately.
The Tradeoffs
Checking customer history piecemeal
The user calls get_customer to get contact info, then opens a separate tab and runs the list of jobs manually. This takes 3-4 steps.
→
Instead, ask your agent to combine these actions: 'Show me all job history for John Doe.' The agent uses get_customer first, then automatically calls list_jobs and filters by that customer ID.
Missing the full scope of records
A user only checks list_customers but forgets to check if there are associated pending invoices or active estimates.
→
Always ask for a complete status: 'What is the current financial standing for Acme Corp?' This prompts the agent to run both get_customer, and then call list_invoices and list_estimates.
Assuming one tool covers everything
The user assumes calling create_customer automatically updates all related jobs or estimates, which it doesn't.
→
Remember that creating a customer is just the first step. You must follow up by explicitly asking to start a job using list_jobs and providing the necessary project details.
When It Fits, When It Doesn't
Use this MCP if your workflow requires connecting disparate data points—for example, checking an invoice status (using get_invoice) and immediately verifying that the related job is marked as complete (using get_job). It's perfect for transactional processes where you need to read and write data across different record types. Don't use this if your primary goal is just simple document storage or general knowledge retrieval; those tasks are better suited for a dedicated document indexing tool. If the request involves complex, multi-dimensional reporting—like 'What was the average time spent on jobs last quarter for customers who generated invoices over $X?'—you'll need to pull that data into an external analytics platform first. The HiFlow MCP excels at making sure the necessary steps to get the right data are executed reliably.
Common Questions About HiFlow MCP
How do I use the HiFlow MCP with list_invoices? +
You simply ask your agent to 'List all invoices for the last quarter.' The agent runs list_invoices and provides you with a structured, filtered list of those records.
Can I use get_job to find out who was assigned it? +
Yes. Call get_job using the ID. The response payload includes all associated metadata, including the job owner and current status.
Does HiFlow MCP allow me to create_customer records in bulk? +
The create_customer tool handles one customer record at a time. You'll need to run the command for each new client, but it keeps the process contained and accurate.
What is the difference between list_estimates and get_estimate? +
Use list_estimates when you want a summary of many quotes. Use get_estimate only when you know the specific ID and need all the detailed information for that single quote.
What happens if I use get_customer with an ID that doesn't exist? +
The API returns a specific 404 error message. Your agent can catch this response to prompt you for clarification or suggest searching by name instead of using the direct customer ID.
Does my account permission level limit what I see when running list_jobs? +
Yes, your agent only accesses jobs assigned to or visible within your current user scope. If you need data from another department, an admin must grant specific access permissions before calling list_jobs.
What is the required input when I use the create_customer tool? +
You must provide at minimum a name and an email address. If you omit these details, the MCP will reject the request with a validation error, so always verify your inputs first.
How does the list_timesheets tool handle fetching thousands of records? +
The MCP uses pagination, returning results in manageable chunks. To get every entry, your agent needs to loop through subsequent pages rather than making a single request to list_timesheets.
Can I start a new workflow from the AI? +
Yes, you can trigger new workflow instances by specifying the process ID and required variables.
How do I check pending tasks? +
Ask the agent to 'List my pending approvals', and it will retrieve the queue of tasks requiring your attention.
Is it possible to approve a task directly in the chat? +
Yes! Provide the task ID and tell the agent to mark it as approved or rejected.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.