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intelliHR MCP. Get a complete employee profile, fast.

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

Just plug in your AI agents and start using Vinkius.

intelliHR MCP Server manages all your core organizational data. Your AI agent connects to this server to list and retrieve employee profiles, current job assignments, and organizational structures.

You can also look up skills, training records, pay details, and all registered business entities. It gives your agent a full view of who works where, what they know, and how much they're paid.

What your AI agents can do

Get person

Retrieves the full details for a single employee.

List business entities

Gets a list of all legal business entities registered with the company.

List jobs

Lists all job assignments currently in the system.

+ 7 more capabilities included
Retrieve specific employee profiles

Use get_person to pull all details for one employee ID.

Map the organizational structure

Call list_jobs and list_positions to map out every role and job title assigned in the company.

Analyze employee capabilities

Get a list of all skills defined in the organization via list_skills, or review historical training with list_training.

Audit employment records

Pull compensation details using list_remuneration or view all users with platform access using list_users.

View corporate context

List all legal business entities (list_business_entities) or registered office locations (list_locations) to understand the scope of the company.

Supported MCP Clients

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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AI Agent

intelliHR MCP Server: 10 Tools for HR Data Management

These tools allow your agent to access and process every core data point in the intelliHR platform, from people records to financial and training histories.

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get person

Retrieves the full details for a single employee.

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list business entities

Gets a list of all legal business entities registered with the company.

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list jobs

Lists all job assignments currently in the system.

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list locations

Lists all physical office locations registered.

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list people

Retrieves a list of all employees in the system.

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list positions

Lists every defined job title or position type.

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list remuneration

Retrieves pay and salary details for employees.

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list skills

Lists all skills defined within the organization.

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list training

Retrieves records of all employee training and development activities.

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list users

Lists all accounts that have platform access.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

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Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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What you can do with this MCP connector

intelliHR MCP Server - HR Data & Directory Management

Your AI agent connects here to pull all the company's core data. You can use it to list and get employee profiles, current jobs, and the whole company structure. It pulls everything: skills, training records, pay details, and even all the legal business entities registered.

get_person pulls every single detail for one employee when you give it the ID. list_people gives you a list of everyone working there. list_jobs shows all the current job assignments, and list_positions lists every job title that exists in the system.

To map out the whole company, you can call list_skills to get every skill defined, or check out list_training for historical development records. You can track pay details using list_remuneration, and list_users shows every account that has platform access.

For corporate context, list_business_entities lists all the legal companies registered, and list_locations shows all the physical office spots.

When your agent runs these tools, you get structured data you can use straight away in your workflows or reports.

How intelliHR MCP Works

  1. 1 First, your agent uses list_people to identify the necessary employee IDs or department IDs.
  2. 2 Next, the agent calls targeted tools (e.g., list_jobs, list_skills, list_training) using those IDs to pull specific data points.
  3. 3 Finally, the agent synthesizes the structured data from multiple calls into a single, coherent profile for you.

The bottom line is that your agent handles the sequence of multiple API calls needed to build a complete employee profile.

Who Is intelliHR MCP For?

The HR Operations Manager who spends too much time clicking through siloed dashboards to build a single employee history. The Business Analyst who needs to cross-reference skills against current job roles. Or the IT Admin needing a full audit of who has access to what system.

HR Operations Manager

Runs quarterly audits, pulling combined data on training completion, current job roles, and compensation for groups of employees.

Business Analyst

Identifies skill gaps by cross-referencing what employees know (list_skills) against the requirements of open positions (list_positions).

IT System Administrator

Audits user permissions and system access by running list_users and checking which roles (list_jobs) they are assigned.

What Changes When You Connect

  • Full Employee Audit: Instead of manually gathering data from spreadsheets, run list_people and then use get_person to pull a complete, single-source profile for any employee.
  • Gap Analysis: Pinpoint skill deficits instantly. Use list_skills and compare the results against the requirements of a specific role using list_positions. This makes workforce planning simple.
  • Compensation Review: Easily audit payroll data. list_remuneration gives you pay details, while list_jobs tells you what the employee is actually doing. You can cross-reference these two tools.
  • Compliance Check: Verify user access and location coverage. Run list_users to see who has credentials, and list_locations to ensure they are assigned to a physical office.
  • History Tracking: Build a complete career narrative. Combine list_jobs (current roles) with list_training (development history) to show an employee's growth path.
  • Corporate Scope: Understand the business footprint. Use list_business_entities to see all legal arms, and list_locations to see where the company operates globally.

Real-World Use Cases

01

Reviewing a candidate's full background

A hiring manager needs to assess a potential hire. They ask their agent to run list_people to check for existing profiles, then use get_person to get the full history, and finally check list_skills to see if they match the target roles defined in list_positions.

02

Determining resource availability for a project

The project manager needs to staff a new team. They ask the agent to run list_jobs to see what roles are open, then use list_people to find available employees, and cross-reference list_locations to ensure the team can be physically placed together.

03

Annual compliance audit of user access

The IT admin needs to audit who has system access. They use list_users to get a list of all accounts, then run list_jobs to see what roles are assigned, and finally check list_remuneration to confirm the employee's status.

04

Mapping all corporate operational units

The strategy team needs a global view. They ask the agent to run list_business_entities to identify every legal division, and then use list_locations to map the physical offices connected to those entities.

The Tradeoffs

Listing people and jobs separately

Running list_people and then separately running list_jobs and assuming the results align perfectly. This fails because the data sources aren't linked in the query.

Instead, let your agent use get_person on a specific ID. This tool pulls the employee profile with their associated job details, keeping the data linked to the correct individual.

Checking training records manually

The manager opens the training portal, copies a list of completed courses, and pastes it into a spreadsheet to compare against job requirements.

Use list_training to get the official records, and then cross-reference those results with list_skills. This gives you the official, structured data that matches your HRIS.

Forgetting to check the organizational context

The user queries for a skill gap but forgets to check if the skill is relevant to the company's current legal structure, potentially recommending a useless training program.

Always start by checking the company's scope using list_business_entities and list_locations. This grounds your analysis in reality before recommending any action.

When It Fits, When It Doesn't

Use this server if you need to build a complete, multi-faceted view of an employee or the organization. You need to answer questions like: 'Who is this person, what job are they in, what skills do they have, and how much do they get paid?' If your goal is simply to find a name or a single piece of data (e.g., just the list of skills), then list_skills might be enough. But if you need to correlate that skill list back to a specific person and their job role, you must use the multi-tool capability of the intelliHR MCP Server. Don't use this if you are only querying external, non-HR data sources. This server only talks to the intelliHR platform.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by intelliHR. 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 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_person list_business_entities list_jobs list_locations list_people list_positions list_remuneration list_skills list_training list_users

Building a complete profile shouldn't require 15 different tabs.

Before, building an employee profile meant logging into the HRIS for basic info, jumping to the payroll system for pay rates, then opening the L&D portal for training records, and finally checking the internal directory for current job assignments. It was a copy/paste nightmare that wasted hours every week.

Now, your agent handles all those systems. You just ask, 'Give me the full profile for Jane Doe.' The system runs `get_person`, pulls her current job from `list_jobs`, checks her training history via `list_training`, and spits out a single, unified record. It's all in one go.

intelliHR MCP Server: Full Employee Directory Management

You no longer have to run multiple, disconnected queries across different modules. You can use `list_people` to get the list, then `list_positions` to define the roles, and finally `list_skills` to assess the collective capability of the entire workforce. The data flows logically from person to role to ability.

The result is a single data stream that links identity, role, and capability. You stop managing data sources and start making decisions.

Common Questions About intelliHR MCP

How do I find all employees in the intelliHR directory using list_people? +

You simply run list_people. This tool gives you a list of every employee record stored in the system. If you need details on one person, follow up with get_person and the employee's ID.

Can I check salary details with list_remuneration? +

Yes, list_remuneration pulls the pay and salary details. Note that this tool only provides the raw pay data; you'll need to cross-reference it with list_jobs to understand the role associated with that pay.

Does list_skills cover soft skills? +

The list_skills tool lists all skills defined in the organization. You should check the accompanying documentation to confirm if the system categorizes soft skills or if it focuses on technical competencies.

How do I find all registered office locations using list_locations? +

Running list_locations gives you a list of all registered office locations. This is useful for global compliance checks or defining service areas for business units.

How do I use list_jobs to check if a job position exists? +

Yes, running list_jobs returns all current job titles. You can then filter the output list to confirm if the specific role you need is active.

What kind of data does get_person retrieve for an employee? +

get_person retrieves comprehensive details about a single person. This includes their profile information, job assignment, and general organizational data.

Is there a way to track an employee's training history using list_training? +

Yes, list_training compiles all records of employee development. You can see what courses they've taken and when they completed them.

Can I find all defined position titles using list_positions? +

list_positions lists every defined role title in the system. It shows the master list of positions, regardless of who is currently assigned to them.

How do I get intelliHR API credentials? +

Log in to your intelliHR platform, navigate to Settings > Public API Access Keys, and create a new access key. Note that the key is only displayed once.

What is the 'tenant'? +

The tenant is your organisation's unique identifier in intelliHR, usually the subdomain of your login URL (e.g., if you log in at acme.intellihr.net, your tenant is 'acme').

Are sensitive fields like remuneration supported? +

Yes, the list_remuneration tool provides access to remuneration data, provided your API Access Key has the necessary system administrator permissions.

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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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