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Finch MCP. Access HRIS and Payroll Data from Chat

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Finch MCP on Cursor AI Code Editor MCP Client Finch MCP on Claude Desktop App MCP Integration Finch MCP on OpenAI Agents SDK MCP Compatible Finch MCP on Visual Studio Code MCP Extension Client Finch MCP on GitHub Copilot AI Agent MCP Integration Finch MCP on Google Gemini AI MCP Integration Finch MCP on Lovable AI Development MCP Client Finch MCP on Mistral AI Agents MCP Compatible Finch MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Finch MCP Server automates HRIS and payroll data access. It lets your AI agent list employees, retrieve detailed job history, pull payroll statements, and check the status of your organization's connection.

Manage sensitive employee and financial data directly from your chat workflow, bypassing manual portal exports.

What your AI agents can do

Get automated job

Gets specific details about a data sync job that ran automatically.

Get company

Retrieves core organization data, like the legal name and EIN.

Get employment

Pulls detailed job information for one person, including title, salary, and department.

+ 8 more capabilities included
Read the employee directory

The agent lists all employees connected to the organization's HRIS.

Get detailed job and salary history

The agent retrieves specific employment data, including job title, salary, and department for an individual.

View pay groups and statements

The agent lists available pay groups and pulls pay statements for specific payment IDs.

Check connection status and permissions

The agent verifies the live status and authorized permissions of the current HRIS connection.

View company and user data

The agent retrieves the organization's legal name, EIN, or personal details like email and SSN.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

Finch MCP Server: 11 Tools for HR Data Management

Use these 11 tools to interact with your connected HRIS and Payroll providers, retrieving employee profiles, company data, and financial records.

get019d7599

get automated job

Gets specific details about a data sync job that ran automatically.

get019d7599

get company

Retrieves core organization data, like the legal name and EIN.

get019d7599

get employment

Pulls detailed job information for one person, including title, salary, and department.

get019d7599

get individual

Gets personal details for a specific person, such as their name or email address.

get019d7599

get me

Retrieves metadata about the application or user connection that is currently authorized.

action019d7599

introspect

Checks the current connection's status and what permissions it has.

list019d7599

list automated jobs

Lists all automated data synchronization jobs that are set up.

list019d7599

list directory

Reads the full employee roster for the connected company.

list019d7599

list pay groups

Lists the different pay groups or pay cycles for the organization.

list019d7599

list pay statements

Retrieves a list of pay statements for a given payment ID.

list019d7599

list supported providers

Lists every HRIS and payroll provider that Finch supports.

Choose How to Get Started

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What you can do with this MCP connector

You've got a messy pile of HR and payroll data, right? Instead of juggling ten different portals, your AI agent talks to everything through Finch. It gives you one single source of truth for employee records and pay statements.

Your agent can list every employee in the company using list_directory. For deep dives, it pulls specific job details—title, salary, and department—for any person using get_employment. You can get a person's basic info, like their name or email, with get_individual. If you need to know who you are, get_me pulls metadata about the connection, and get_company grabs the organization's legal name or EIN.

When it comes to the money side of things, your agent can list all available pay groups with list_pay_groups, and it can pull pay statements for specific payment IDs using list_pay_statements. You can also see which HRIS and payroll providers Finch supports by running list_supported_providers.

Need to check the system? Your agent can check the connection's live status and what permissions it has using introspect. It can also list all automated data sync jobs with list_automated_jobs, or grab specific details about a job that ran using get_automated_job. Finally, you can see all the automated data sync jobs that are set up by calling list_automated_jobs.

How Finch MCP Works

  1. 1 Subscribe to the Finch MCP Server and provide your Finch Access Token.
  2. 2 Your AI client invokes a tool (e.g., list_directory) specifying the required data scope.
  3. 3 The server executes the call, retrieves the data from the underlying HRIS/Payroll systems, and passes the structured result back to your agent.

The bottom line is: you manage complex HR and payroll data using simple conversational prompts.

Who Is Finch MCP For?

HR Operations teams who hate exporting CSVs from multiple portals. Finance analysts needing real-time payroll checks without logging into accounting software. Product Managers who need unified employee data to power internal tools.

HR Operations Specialist

Runs queries to verify employee status, list departments, and check employment records for compliance audits.

Finance Analyst

Uses the agent to pull pay statements and aggregate compensation data for quarterly reporting.

Internal Product Developer

Builds internal dashboards that need to pull verified, unified employee data (name, department, salary) without direct database access.

What Changes When You Connect

  • Stop manually exporting data. Use list_directory to get the full employee roster instantly, eliminating the need to click through HR portals.
  • Verify compensation details on the fly. get_employment retrieves granular salary, title, and department data without leaving your chat window.
  • Handle payroll queries instantly. Call list_pay_statements to pull pay records for a specific payment ID, giving immediate financial visibility.
  • Keep your data reliable. list_automated_jobs monitors data sync jobs, ensuring your HRIS records are always up-to-date for accurate reporting.
  • Know what you're connected to. introspect checks the connection status and available permissions, so you always know what your agent can actually do.
  • Scale your integration. list_supported_providers lets you verify compatibility with dozens of HRIS and payroll platforms before you start.

Real-World Use Cases

01

Auditing a New Hire's Records

An HR manager needs to verify a new employee's full profile. They ask their agent to run list_directory to confirm the employee exists, then use get_employment to pull the correct title and department. The agent returns the verified data instantly.

02

Quarterly Payroll Reconciliation

A finance analyst needs to check the total gross pay for Q3. They ask the agent to run list_pay_groups to find the correct payment cycle, then use list_pay_statements for the relevant payment ID. The agent compiles the total from multiple records.

03

Building a Custom Internal Tool

A product developer needs a list of all active users and their roles for a new internal dashboard. They use list_directory and then get_company to verify the legal entity name, ensuring the data source is correct.

04

Troubleshooting Data Sync Issues

The IT team notices employee data is wrong. They ask the agent to run list_automated_jobs and get_automated_job to check the job status and see when the last sync actually completed. This pinpoints the source of the bad data.

The Tradeoffs

Manual CSV Downloads

Logging into the HR portal, finding the employee list, running the report, downloading the CSV, opening Excel, and manually cross-referencing salaries and departments.

Use the agent to call list_directory to get the roster, then use get_employment for specific individuals, keeping everything within the chat interface.

Guessing Data Availability

Assuming the agent knows the payroll ID and trying to run list_pay_statements without knowing the payment cycle, resulting in a 'No data found' error.

First, call list_pay_groups to see all available cycles, then use the resulting ID to call list_pay_statements.

Over-reliance on the main directory

Using only list_directory when you actually need the salary or department details, leaving you with only names and basic titles.

After running list_directory, immediately follow up with get_employment and specify the individual's name or ID to pull the deep data you need.

When It Fits, When It Doesn't

Use this if you need to correlate multiple HR data points (e.g., 'What is John Doe's current salary and department?'). It handles the complexity of linking directory information to employment records and payroll statements. Don't use this if you simply need to browse a static, non-API knowledge base (use a document search tool instead). If you only need to know what providers are available, use list_supported_providers; if you only need a list of employees, use list_directory. This toolset is for action, not just viewing.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Finch. 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 11 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_automated_job get_company get_employment get_individual get_me introspect list_automated_jobs list_directory list_pay_groups list_pay_statements list_supported_providers

Checking employee records shouldn't require jumping between five different systems.

Today, checking an employee's status means opening the HR portal, checking the directory tab. Then, if you need their job details, you jump to the 'Staffing' section. If you need their pay history, you have to log into the separate payroll system. Copying and pasting names and IDs across three different windows is a full-time job.

With Finch, you just ask your agent, 'What is Jane Doe's current title and department?' It runs the necessary calls—`list_directory` then `get_employment`—and spits the accurate answer back. You stay in the chat, and the data is unified.

Finch MCP Server: Get unified HR data from chat.

Forget manually tracking data syncs or verifying connection health. Your agent can run `introspect` to check permissions, or `list_automated_jobs` to confirm that the payroll data sync finished successfully. This gives you immediate visibility into the system's reliability.

Now you manage the entire HR data lifecycle—from directory listing to pay statement retrieval—in one conversation. The data is fresh, and the process is immediate.

Common Questions About Finch MCP

How do I use the Finch MCP Server to list all employees? +

You run the list_directory tool. This reads the employee roster from your connected HRIS and gives you a list of all active individuals in the organization.

What data does the get_employment tool provide? +

The get_employment tool retrieves granular data for a specific person, including their job title, salary, and department details.

Can I check the connection status using the introspect tool? +

Yes, calling introspect verifies the connection status and shows exactly what permissions the agent has on your connected systems.

How does Finch handle payroll data? +

You first use list_pay_groups to find the correct pay cycle, then run list_pay_statements with the payment ID to pull the specific pay records.

What is the difference between get_individual and list_directory? +

Use list_directory to get a list of all employees. Use get_individual when you already know the person and only need specific personal details, like their email or SSN.

How do I use the list_supported_providers tool to check compatibility? +

The list_supported_providers tool provides a list of all HRIS and Payroll systems Finch integrates with. This lets you verify if your company's specific platform is compatible before building a workflow.

What does the get_company tool provide for organizational data? +

The get_company tool returns core legal and physical identifiers for the organization. You get the legal name, EIN, and primary address directly from the API.

When should I use the get_automated_job tool? +

Use get_automated_job to fetch specific details about a scheduled data synchronization task. This helps you confirm when and how the HRIS data updates are running.

How do I obtain a Finch Access Token? +

Access tokens are generated when a user successfully completes the Finch Connect authorization flow for their specific HRIS or payroll provider.

Which HRIS providers does Finch support? +

Finch supports over 200 providers including Gusto, ADP, Workday, BambooHR, and Rippling. You can use the list_supported_providers tool to see the full list flawlessy.

Can I see individual pay statements? +

Yes! The list_pay_statements tool allows you to retrieve payment details for individuals if the connected organization has granted the necessary payroll permissions flawlessy.

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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