CaptivateIQ MCP. Audit commission payouts and employee records instantly.
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CaptivateIQ manages your incentive compensation workflows. Use this server to pull commission payouts, access individual employee statements, and list payout records directly from any AI agent.
It helps Finance and Sales Ops teams track earnings and audit compensation logic without leaving your chat window.
What your AI agents can do
Get account status
Retrieves core account and integration information.
Get employee details
Gets detailed profile information for a specific employee.
List commission inquiries
Lists commission disputes and inquiries using a generic search.
Retrieves a list of all processed commission payouts across the entire company.
Pulls detailed profile information for a single employee, including their plan designation.
Gives you a generic search list of commission inquiries or disputes.
Retrieves a complete list of all employees and their associated compensation plans.
Accesses and retrieves individualized payout statements for specific employees.
Lists all available calculation workbooks and worksheets used for commission logic.
Retrieves high-level account and integration information for quick auditing.
Ask AI about this MCP
Supported MCP Clients
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019d7569get account status
Retrieves core account and integration information.
019d7569get employee details
Gets detailed profile information for a specific employee.
019d7569list commission inquiries
Lists commission disputes and inquiries using a generic search.
019d7569list commission payouts
Lists every processed commission payout record.
019d7569list employees
Lists all employee records and their compensation plan designations.
019d7569list payout statements
Lists individualized payout statements for specific employees.
019d7569list workbooks
Lists all available calculation workbooks.
019d7569list worksheets
Lists all available calculation worksheets.
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What you can do with this MCP connector
Yo, you're running incentive compensation workflows through CaptivateIQ. Hook up your AI agent to this server, and you'll get the data you need to track commissions and statements without leaving your chat window. It's built for Finance and Sales Ops teams who need to audit earnings and compensation logic fast.
list_payout_statements lets you pull individualized payout statements for specific employees. get_employee_details gives you detailed profile info for a single person, including their plan designation. list_commission_inquiries runs a generic search to list commission disputes and inquiries. list_employees pulls a complete roster of all employees and their associated compensation plans. list_workbooks lists every calculation workbook available. list_worksheets lists all the worksheets used for commission logic. list_commission_payouts retrieves a list of every processed commission payout across the whole company. get_account_status checks high-level account and integration info, which is handy for quick audits.
How CaptivateIQ MCP Works
- 1 Subscribe to the server and provide your CaptivateIQ API Token.
- 2 Your AI client sends a natural language prompt to the MCP Server.
- 3 The server executes the relevant tool (e.g.,
list_commission_payouts) and returns the structured data to your AI client.
The bottom line is you talk to your AI agent, and it handles the complex API calls to get the commission data you need.
Who Is CaptivateIQ MCP For?
This is for Finance and Payroll teams who need to run payroll and reconcile complex payouts. It's for Sales Operations personnel who need to monitor commission trends in real-time. And it's for Revenue Leaders who need instant, high-level summaries of payout data without manual dashboard exports.
Uses the server to quickly extract full payout data for payroll runs, verifying calculations before they hit the books.
Monitors commission trends across employee groups and checks specific employee plan designations instantly from their workflow tools.
Retrieves high-level payout summaries and core account information to ensure financial reporting matches expected outcomes.
What Changes When You Connect
- Cut down on manual dashboard exports. Instead of downloading CSVs for payroll, ask your agent to run
list_commission_payoutsfor a full payout overview. - Instantly verify earnings. Use
list_payout_statementsto pull an employee's specific statement, letting you confirm commissions based on attainment percentages. - Keep track of disputes without switching apps. Run
list_commission_inquiriesto see all open commission questions in one place. - Understand your whole workforce.
list_employeesgives you a roster of every employee and their current plan designation, saving manual lookups. - Verify commission math. Access
list_workbooksandlist_worksheetsto see the exact logic used for calculations, ensuring transparency. - Know the account status fast.
get_account_statusprovides core integration data, letting you confirm your setup details quickly.
Real-World Use Cases
Auditing a quarterly bonus run
The finance team needs to verify the total payouts for Q2. They ask their agent to run list_commission_payouts. The agent returns a summary of all processed payouts, allowing the team to reconcile the total against the general ledger without opening the web portal.
Checking an employee's commission calculation
A manager asks their agent for John Doe's statement. The agent runs list_payout_statements and provides a detailed breakdown, showing the total commission earned and the percentage of sales target achieved.
Onboarding a new sales representative
The sales ops team needs to know which plan the new hire belongs to. They ask the agent to run list_employees, which instantly returns the employee's full profile and current plan designation.
Investigating a payout discrepancy
A dispute comes in regarding a commission calculation. The agent runs list_commission_inquiries to find the case ID, then uses get_employee_details to check the employee's plan, solving the issue faster than email chains.
The Tradeoffs
Exporting CSVs for reports
The analyst manually exports the payout dashboard data as a CSV, then uploads it to Excel to filter and calculate totals for the executive summary. This takes 20 minutes and the data is only as current as the export time.
→
Use your AI agent to run list_commission_payouts directly. The agent handles the data extraction and structuring, giving you the current, actionable data right in your chat.
Checking statements manually
The HR team has to log into CaptivateIQ, search for the employee, click 'Statements,' and download the PDF, repeating this for dozens of employees. This process is slow and prone to human error.
→
Ask the agent to run list_payout_statements for multiple employees. The agent compiles the necessary statements and presents the key data points immediately.
Figuring out commission logic
The compliance officer needs to know how a bonus was calculated, so they must find the correct workbook, open it, and trace the formula through multiple tabs. This is complex and time-consuming.
→
Use list_workbooks and list_worksheets to list all available calculation logic. The agent can then guide you to the specific workbook or worksheet you need to audit.
When It Fits, When It Doesn't
Use this server if your primary goal is auditing, reporting, or verifying compensation data that lives inside CaptivateIQ. It excels when you need to correlate payout data (list_commission_payouts) with specific employee plans (list_employees) or statements (list_payout_statements) without opening a browser. Don't use it if you need to build a brand-new commission calculation or if your data source is outside of CaptivateIQ. For those cases, you'll need a different type of data ingestion tool.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CaptivateIQ. 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 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Reconciling payout data shouldn't require opening a dozen tabs.
Today, pulling a full picture of commission payouts means jumping between the main dashboard, the employee directory, and the history tabs. You download the payout report, then you have to manually cross-reference the employee IDs against the payout records to ensure everyone was accounted for. It's tedious, and you're always working with stale data.
With the CaptivateIQ MCP Server, you simply ask your agent to list the payouts. It runs the `list_commission_payouts` tool and delivers the structured data directly. You get a clean, consolidated view of all processed commissions, instantly.
CaptivateIQ MCP Server: Get a full employee audit in minutes.
Instead of manually searching for employee IDs and downloading PDF statements one by one, you tell your agent to pull the statements. The agent executes `list_payout_statements` and compiles the key financial data for you, eliminating the manual download and copy-paste steps.
The system lets you manage complex payroll tasks and audit employee records using only natural language. It's all about conversation, not clicking.
Common Questions About CaptivateIQ MCP
How do I use the list_commission_payouts tool in CaptivateIQ? +
The agent runs list_commission_payouts when you ask for a list of payouts. It returns metadata for all processed commission runs, letting you see dates, total amounts, and payout names.
What is the difference between list_employees and get_employee_details? +
Use list_employees to get a roster of everyone and their plan type. Use get_employee_details when you need the specific, deep profile data for one employee.
Can I check commission statements using list_payout_statements? +
Yes. This tool fetches individualized payout statements. You give the employee's details, and the agent retrieves their specific earnings breakdown for a given period.
How do I find out what calculation logic was used? +
You use list_workbooks to see all the core calculation workbooks. This shows the name and scope of the logic used to determine commissions.
Does CaptivateIQ MCP Server handle disputes using list_commission_inquiries? +
Yes. This tool lists commission disputes and inquiries. You can use it to track the status and details of any open compensation questions.
How do I use the list_account_status tool to check my integration health? +
You call list_account_status to pull the core account and integration details. This confirms that your connection to CaptivateIQ is active and provides key operational metrics.
If I need to see all the commission logic, should I use list_workbooks or list_worksheets? +
Use list_workbooks first to see the high-level calculation plans. Then, use list_worksheets to view the specific worksheets within those workbooks that govern the commission logic.
What if I need to find a payout record that isn't listed by list_commission_payouts? +
If the data isn't in the standard payout list, you might need to run a generic search using list_commission_inquiries. This tool helps surface disputes or records that require manual investigation.
Can I check the total commission for a specific employee using the agent? +
Yes! Use the get_employee_details tool or the list_payout_statements tool. Your agent will fetch the relevant data, including the total commission amount for the period.
How do I list all the processed payouts for my team? +
Simply ask the agent to list_commission_payouts. It will retrieve the full history of processed payouts from your CaptivateIQ account, including dates and totals.
Does the integration allow creating a new payout manual adjustment? +
The current toolset focuses on querying and monitoring (Read-Only) for data analysis and payroll extraction. Adjustments or changes to the calculation logic should be managed via the CaptivateIQ web platform.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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