IntelliHR MCP. Automate HR data analysis and employee directory queries.
IntelliHR connects your AI client directly to the intelliHR people management platform. Your agent can automatically pull core employee data, track job assignments across departments, and manage organizational records. Get comprehensive access to profiles, skills inventories, location listings, pay details, and training histories without leaving your workflow.
Claude 
ChatGPT 
Cursor 
Gemini 
Windsurf 
VS Code 
JetBrains 
Vercel Give Claude and any AI agent real-world access
Get detailed records for any single person in the system.
List all defined job roles, positions, and active business entities across the company.
Pull lists of skills or view comprehensive records of required and completed employee development courses.
Access a list of all registered office locations, as well as all system users with platform access.
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What AI agents can do with intelliHR with 10 Tools
Use these tools to programmatically access every core function of the intelliHR platform, from listing users to retrieving individual employee profiles.
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 intelliHR MCPGet Person
Fetches complete details for a specific person by their unique ID.
List Business Entities
Retrieves a list of all legal business entities registered in the system.
List Jobs
Lists every job or position title that is currently assigned to an employee.
List Locations
Returns a list of all registered physical office locations globally.
List People
Provides an exhaustive directory listing of every person or employee in intelliHR.
List Positions
Lists all official position titles that the company uses for job assignments.
List Remuneration
Retrieves detailed information regarding employee pay and salary structures.
List Skills
Lists all defined skills available for employees within the organization's records.
List Training
Retrieves a history of all employee training and development completion records.
List Users
Provides a list of every system user who has access to the platform.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Claude AI
Open Claude Settings
Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
Add Custom Connector
Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:
https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp
Replace [YOUR_TOKEN_HERE] with your token
from cloud.vinkius.com. For OAuth-protected servers, expand
Advanced settings to add credentials.
Start a conversation
Open a new chat. The IntelliHR integration is available immediately — no restart needed.
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 each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with intelliHR, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
HR reporting used to mean days of cross-referencing spreadsheets.
Today, compiling a report on employee capabilities requires jumping between five different tabs: the directory for names, the job management portal for roles, the skills matrix for aptitudes, and three separate sheets just for pay grades. You spend hours copying IDs, pasting them into VLOOKUPs, and hoping you didn't miss a key location.
Now, your agent handles it all. You simply ask, 'What are our top 20 developers in the Chicago office?' The MCP runs multiple background checks—pulling list_people, filtering by list_locations, and cross-referencing with job data—and gives you an instant, actionable list.
IntelliHRMCP: Get comprehensive employee profiles on demand
Before this MCP, finding out a person's full history meant calling three different departments. You had to check the HR database for their current role (list_jobs), then call Training for courses completed (list_training), and finally talk to Payroll for salary confirmation (list_remuneration).
Now you get everything in one go. Your AI client pulls all that data—profile details, job history, pay structure, skills, and training records—and presents it cohesively. It’s a single conversation instead of five department phone calls.
What IntelliHR MCP does for your AI
This MCP lets you treat your HR systems like a natural conversation. Instead of navigating dozens of internal tabs or exporting messy spreadsheets, your agent talks directly to the intelliHR API to get the exact data points you need. Need to know everything about an employee, from their current job title and salary details to all past training records? Your AI client handles it in one prompt.
It pulls together structured information—like listing every defined position or tracking which legal business entities exist—and presents it cleanly. Whether you're analyzing team skill gaps, auditing organizational structure, or just building a master employee directory, this connector does the heavy lifting. Because it’s hosted on Vinkius, you connect your preferred AI client once and gain access to intelliHR alongside thousands of other business tools.
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How to set up IntelliHR MCP
The bottom line is you get direct access to deep HR system knowledge without needing an IT ticket or learning complex API calls.
Your AI client sends a request to this MCP, specifying the type of HR data needed (e.g., 'List all employees who trained last quarter').
The connector routes that request through the intelliHR API, gathering structured records like job assignments or remuneration details.
It returns a clean, organized set of data directly into your client's chat window for immediate use.
Who uses IntelliHR MCP
HR Coordinators, Operations Managers, and Business Analysts. If your job involves compiling reports from different internal systems—like mapping who has what skills to which open role—you need this. Stop chasing data across separate dashboards.
Uses the MCP to list all employees and verify their current job positions or check if specific training records are missing.
Retrieves a full inventory of registered office locations or lists all defined legal business entities for compliance reporting.
Gathers comprehensive data sets, such as grouping skills with open job assignments to identify talent gaps before executive meetings.
Benefits of connecting IntelliHR MCP
Get a complete picture of staff knowledge by using list_skills to inventory all defined capabilities. You can then cross-reference this with list_jobs to see which positions are underskilled.
Audit organizational structure instantly. Instead of guessing, you can use list_business_entities and list_positions together to verify every legal entity and its assigned job titles.
Track employee growth by calling list_training. This lets your agent build a report showing who is due for recertification or who needs mandatory compliance courses.
Build an accurate master directory by combining list_people with get_person. You can pull detailed profiles on demand, giving you specific records without downloading massive files.
Understand compensation at scale using list_remuneration. This tool provides direct access to pay details, helping finance and HR reconcile salary bands against job titles (list_jobs).
Simplify location management by calling list_locations first, then cross-referencing user data via list_users to pinpoint which employees are assigned to specific offices.
IntelliHR MCP use cases
Auditing compliance for a new market.
The Ops Manager needs to ensure every regional office is accounted for. They ask their agent, 'Show me all registered locations and list any business entities that might operate there.' The MCP runs both list_locations and list_business_entities, providing the required map instantly.
Identifying internal skill gaps.
A team lead needs to know who can fill a specialized role. They ask their agent to combine data from list_skills and list_positions. The MCP returns a ranked list of employees whose skills match the requirements for open, high-priority jobs.
Onboarding new departmental leads.
The HR Coordinator asks the agent to 'Get all data on the top five people in Marketing.' Using get_person and list_people, the agent pulls full profiles for those individuals, detailing their roles, pay structure (list_remuneration), and recent training.
Preparing for an organizational restructure.
The executive wants to see who is currently employed versus who has platform access. They prompt the agent to run list_people against list_users, allowing them to quickly spot discrepancies between active staff and system accounts.
IntelliHR MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Manual Cross-referencing
The user downloads three separate CSVs: one for people, one for jobs, and one for pay. They then spend hours in Excel trying to match unique IDs across the columns.
Instead, ask your agent to combine list_people with get_person and list_remuneration in a single prompt. The MCP handles the data joining automatically, giving you one clean report.
Guessing System Scope
A user only checks the 'People' tab on a dashboard and assumes it has all necessary records, missing vital data like training or skills.
Don't rely on single views. Use the MCP to specifically call list_skills and list_training, ensuring you capture every facet of employee development alongside core profile details.
Over-reliance on basic search
The user searches for 'Manager' in a general chat window and gets vague results that don't show specific job titles or reporting lines.
Be precise. Use the dedicated list_positions tool to get every official title, then use get_person with the specific ID to see who holds it.
When to use IntelliHR MCP
Use this MCP if your core workflow involves querying structured human resources data: Who is employed? What are their skills? What positions exist? If you need to build a complex report that requires matching employee records against organizational structure, job titles, or salary bands, this is the right tool. Don't use it if you only need simple messaging (use a dedicated communication MCP) or if your goal is qualitative analysis of unstructured text (you might prefer a general document processing tool). However, if you just want to list names and phone numbers without any role context, then a simpler contact book type connector might suffice. This MCP excels at relational data: connecting people records to their associated job roles, skills, and pay details.
Frequently asked questions about IntelliHR MCP
How do I find an employee's full background using the intelliHR MCP? +
You can get all details by combining list_people with get_person. This allows your agent to fetch a comprehensive profile, including their job assignments and contact information.
Does the intelliHR MCP handle salary data? +
Yes, it does. The list_remuneration tool provides direct access to detailed employee pay and compensation records when needed for reporting or auditing.
Can I use intelliHR MCP to see all available job titles? +
Absolutely. Use the list_positions tool to pull a complete roster of every defined position title within the company's structure, regardless of who currently holds it.
What if I need to find skills related to specific jobs using intelliHR MCP? +
You can combine list_jobs with list_skills. Your agent will compare the requirements of a job title against the entire pool of defined organizational skills.
Is the intelliHR MCP suitable for small teams or large corporations? +
It handles both. While it manages massive corporate data, its ability to pinpoint specific records using get_person makes it highly efficient for smaller teams doing focused audits.