Argyle MCP. Instantly confirm employment and income data from payroll sources.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Argyle connects your AI agent directly to payroll data, letting you verify employment status, income totals, and identity details automatically.
You can track users, detailed job histories, and individual payout breakdowns without needing physical documents or manual spreadsheets.
What your AI agents can do
Create user
Creates a brand new user record within your Argyle account for future verification use.
Get account check
Verifies that the connection between your AI client and Argyle is active and working correctly.
Get employment
Pulls verified details about a user's job, including their employer and hire date.
List existing users or generate new unique IDs required for a verification flow.
Retrieve verifiable information about a person's job title, hire date, and employer from the source.
Get detailed breakdowns of total earnings, including Year-To-Date figures, monthly amounts, or per-pay-period data.
List specific pay periods to see the gross/net pay and all associated deductions for a user.
Retrieve verified name, address, and contact information directly from payroll records.
Verify that the Argyle connection is active and ready to run verification queries.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Argyle with 7 Tools
Use these seven tools to manage user records, verify job roles, retrieve total incomes, track deductions, and confirm identity details directly from the payroll source.
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 Argyle on Vinkius019d7552create user
Creates a brand new user record within your Argyle account for future verification use.
019d7552get account check
Verifies that the connection between your AI client and Argyle is active and working correctly.
019d7552get employment
Pulls verified details about a user's job, including their employer and hire date.
019d7552get income
Retrieves the total income amount for a user, broken down by time period (YTD, monthly, etc.).
019d7552list identities
Gathers verified contact information, such as name and address, tied to the user's payroll record.
019d7552list payouts
Lists every pay period for a user so you can see exactly how much they earned versus what was deducted.
019d7552list users
Retrieves a complete list of all users that are currently registered in your Argyle account.
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 Argyle, then connect any of our 4,800+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,800+ 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 Argyle. 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.
VINKIUS INFRASTRUCTURE
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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 7 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Today, verifying someone’s financial standing means a mountain of paper.
Right now, confirming employment requires collecting W-2 forms, pay stubs from different months, and sometimes even calling the HR department just to confirm current job titles. You're juggling email attachments, PDFs, and spreadsheets that might be months old. It’s slow, expensive, and frankly, it introduces too many points where data gets lost or misinterpreted.
With this MCP, you don't touch a single piece of paper. Your agent talks directly to the payroll source. You just ask for total income or job history, and the system returns the verified, structured data you need. It cuts out days of manual document collection.
Getting Verified Employment Data with Argyle
Manual processes force you to wait for different departments—HR sends job title updates; Payroll sends pay stubs. You have to manually track and reconcile these separate documents just to build a single profile of the person's financial status.
This MCP lets your agent pull all that data together instantly. By calling `get_employment` and pairing it with `list_payouts`, you get a complete, auditable timeline—from start date to every paycheck received.
What you can do with this MCP connector
Need to confirm someone's current salary or work history for a loan application? Argyle handles that verification process directly through your AI agent. Instead of waiting weeks for paper trails or juggling multiple databases, you simply ask your agent for the required data points—like total Year-To-Date income or specific job titles.
The system pulls all this information from secure payroll sources and gives it back to you in plain language.
This makes compliance checks fast. If you're building a financial product or running internal HR audits, Argyle is the source for reliable, verified data. Because Vinkius hosts this MCP, your AI client can access this powerful stream of information alongside thousands of other services, making verification quick and repeatable.
019d7552-4869-734b-aa49-4e485cae61bb 
How Argyle MCP Works
- 1 First, check the system connection using a simple call; this verifies your AI client can access Argyle data.
- 2 Next, tell the agent which user ID you need information on and what specific type of data you're looking for (e.g., 'Show me income').
- 3 The agent executes the request, pulls the verified payroll data, and returns a clean summary that you can use immediately.
The bottom line is, you get structured financial and employment data without ever touching a physical document or manual spreadsheet.
Who Is Argyle MCP For?
Underwriters who need instant proof of income; Compliance Officers running internal audits; Fintech developers building lending or payroll tools. If your job involves validating someone's financial status, this MCP is for you.
Quickly confirming an applicant's current employment and income level to approve a loan.
Running audits on employee data or verifying worker status across different departments.
Integrating verified payroll and employment history into a new financial product's API layer.
What Changes When You Connect
- Verify job titles and start dates immediately. Instead of manually cross-referencing HR documents, calling
get_employmentgives you the official record directly through your agent. - Stop guessing about total earnings. By using
get_income, you get precise Year-To-Date totals and breakdowns, which is critical for loan underwriting decisions. - Understand every dollar paid out. The
list_payoutstool lets you see the full picture of gross pay versus deductions per period, eliminating guesswork about net income. - Never lose track of who needs verification again. You can call
list_usersto get a complete roster and then usecreate_userto add new accounts instantly. - Get identity data alongside finance records. Calling
list_identitiesensures that the name and address you are verifying is tied directly to the payroll source, keeping everything compliant.
Real-World Use Cases
Approve a loan for an applicant with patchy work history
The agent needs to know if a client's recent contract was legitimate. The user asks the agent to check the employment status using get_employment and then cross-reference that data against their total income via get_income to build a complete risk profile.
Audit internal staff records for compliance
A compliance officer needs an audit trail of all current employees. They use the agent to run list_users, then call list_identities on each user ID to quickly verify name and address against company policy.
Build a new financial product that requires payroll data
A fintech developer needs a reliable source for historical pay stubs. They use the agent to call list_payouts repeatedly, gathering enough raw transaction data to build their own internal reporting tool.
The Tradeoffs
Asking for 'proof of income'
Typing: 'I need proof that this person makes $80k.' This is too vague and gives the agent no source to pull from.
→
Be specific. Ask your agent to run get_income for user X, specifying Year-To-Date figures so you get a quantifiable number.
Ignoring connection health
Calling data retrieval tools like get_employment without first confirming the service is ready. This usually results in generic 'API Key Failed' errors.
→
Always start by calling get_account_check. It confirms connectivity before you waste time on specific queries.
Assuming all data is linked
Getting a list of names from one place and assuming they match the payroll source, leading to compliance risks.
→
Always pair list_identities with a paid tool like get_employment. This links the physical identity (name/address) directly to the verified work record.
When It Fits, When It Doesn't
Use this MCP if your primary need is financial or employment verification based on payroll records. You must confirm that the source of truth for income and job history is a secure, centralized pay source. Don't use it if you just need to verify an email address; there are better identity tools for that. Also, don't use it if you only have casual knowledge about someone’s work—you must be able to provide a user ID or name for the agent to start querying data.
If your task involves auditing job titles and paychecks, this is perfect. If you just need general company directory info or marketing leads, look elsewhere.
Common Questions About Argyle MCP
How do I find out who has been verified in Argyle using the list_users tool? +
You use list_users. This tool runs against your account and returns a complete roster of all user IDs that are currently set up for verification within Argyle.
Can I get a full employment history using the get_employment tool? +
Yes, get_employment retrieves verified details about a user's job. It includes the employer name, job title, and the initial hire date from the payroll source.
What does list_payouts do? Is it just pay stubs? +
list_payouts is more than just a stub; it lists every individual pay period. This allows you to see exactly what was paid versus what deductions were taken out.
Which tool do I use if I need the total YTD income? +
You must call get_income. This tool aggregates and provides detailed income totals, including the Year-To-Date amount, which is crucial for financial analysis.
Do I have to use get_account_check every time? Is it necessary? +
It's best practice. Running get_account_check first confirms that your connection is active before you run any other tool, preventing failed calls and saving time.
If I need to verify a brand new person, how do I use the `create_user` tool? +
You must first run create_user. This action generates a unique user ID within your Argyle account. You'll need this specific ID as the primary input for all subsequent tools, like those retrieving employment or income data.
What kind of verified info can I get using the `list_identities` tool? +
The list_identities tool retrieves crucial verification details. This includes confirmed names, physical addresses, and contact information sourced directly from payroll records.
If my Argyle connection fails when I run `get_account_check`, what does that mean for my requests? +
It means your MCP client cannot connect to the service. You need to check your API keys or credentials within Vinkius before proceeding. No other tool will function until this initial account verification passes.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.