Armano MCP. Manage staff records and audit clock-in data instantly.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
Armano connects your AI agent directly to your HR system. It lets you automatically manage staff records, track time clocks, and process leave requests through natural conversation.
You get a full view of workforce availability without ever touching a dashboard.
What your AI agents can do
Check armano status
Checks if the Armano connection is working correctly.
Create time entry
Records a new time period for an employee.
Get employee
Retrieves full details about one specific staff member.
Retrieve complete profiles and department details for any employee in the system.
Pull detailed time entries, including clock-in/out metadata, to audit work hours automatically.
List all pending and approved time-off requests across the entire organization.
Verify the connection status of your Armano account to ensure data flow is uninterrupted.
Ask AI about this MCP
Supported MCP Clients
OAuth 2.0 Compatible Gemini Waiting for input…
Armano: 10 Tools for Workforce Management
These tools let you programmatically access every aspect of your workforce data—from individual employee profiles to large lists of time entries and absence reports.
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 Armano on Vinkius019dd0bbcheck armano status
Checks if the Armano connection is working correctly.
019dd0bbcreate time entry
Records a new time period for an employee.
019dd0bbget employee
Retrieves full details about one specific staff member.
019dd0bbget project
Gets information regarding a project code or ID.
019dd0bbget time entry
Retrieves the details for one specific time entry record.
019dd0bblist departments
Lists all department names available in your account.
019dd0bblist employees
Gets a list of every employee profile currently active.
019dd0bblist leaves
Retrieves a full directory of all submitted leave requests.
019dd0bblist projects
Gets a list of all defined projects available for time allocation.
019dd0bblist time entries
Lists multiple time entries, allowing you to filter by specific date ranges.
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 Armano, 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 Armano. 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
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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.
The headache of manually compiling workforce reports.
Today, checking a team's status means logging into the HR portal to view profiles, opening the time sheet app for clock-in data, and then switching to a separate calendar system just to check who is out. You spend minutes copying IDs from one screen and pasting them into another spreadsheet, risking human error every single time.
With this MCP, you simply tell your agent what you need. It handles the cross-system lookups for employee profiles, absence records, and time tracking data. You get a clear summary of who is available, when they clocked in last, and if their leave requests are processed—all without opening a single dashboard.
Get instant access to employee details with `get_employee`.
Manual processes require you to hunt for the right person's ID, then navigate three layers deep into their file just to find one piece of metadata. It’s slow, and if the system changes a field name, your spreadsheet breaks.
Now, your AI agent handles that complexity. You ask it for an employee's details, and it uses `get_employee` to pull the clean data you need directly into your conversation flow. The data comes ready to use.
What you can do with this MCP connector
Managing employee data shouldn't feel like juggling five different spreadsheets. This MCP connects your AI agent to Armano, giving you deep control over your entire workforce lifecycle. Instead of logging into multiple apps to check who is available or if time was recorded correctly, you just talk to your agent.
It retrieves detailed staff profiles, checks historical clock-in/out times, and verifies outstanding leave requests against the company directory.
Since this involves managing sensitive employee records, credentials pass through Vinkius's zero-trust proxy. This means your keys are used only while data moves, never stored on a disk. You can use this single connection from any compatible client to build complex automations—for example, chaining this MCP with a billing system to automatically calculate payroll hours based on recorded time entries.
It acts like having an HR coordinator who lives inside your AI agent.
019dd0bc-0734-7288-98a2-f9af0ea0d4e7 
How Armano MCP Works
- 1 Subscribe to this MCP and get your API Key from your Armano dashboard's App Integrations section.
- 2 Connect that key through any AI client, giving the agent access to your workforce data.
- 3 Ask your agent natural language questions—like 'Show me all leave requests for next month'—and it executes the necessary lookups.
The bottom line is you stop doing manual checks and start asking conversational questions about your staff.
Who Is Armano MCP For?
HR Managers who spend too much time reconciling spreadsheets; Department Leads needing instant visibility into team availability; or Developers building internal tools that need reliable workforce data.
Checks if employee profiles are up to date, reviews bulk absence requests, and verifies the system's overall operational health.
Needs to know instantly who is out of office or who needs coverage next week without logging into multiple department portals.
Programmatically pulls time data and employee lists to feed into custom payroll or compliance reporting tools.
What Changes When You Connect
- Stop manual cross-referencing. You can immediately list all employees or verify specific department affiliations using the
list_employeestool. - Maintain perfect compliance trails. Use time entry tools like
create_time_entryto record and retrieve clock-in/out data for accurate payroll audits. - Simplify resource planning. Quickly review every pending request by calling
list_leaves, giving you a real-time view of team availability. - Improve development speed. Developers can integrate high-speed HR data into custom tools using simple AI queries, accessing both
get_employeeandlist_departments. - Confirm system health instantly. Running
check_armano_statusverifies connectivity so you know when your automation is actually going to work.
Real-World Use Cases
Auditing Payroll Hours
A manager needs to verify total hours worked for a team last month. They ask the agent, and it uses list_time_entries to gather all relevant time records across the whole group.
Onboarding New Staff
You need to confirm a new hire's department and reporting structure. You ask the agent to run get_employee, instantly pulling the detailed profile without leaving your workflow.
Planning Coverage Gaps
The team lead needs to know who is taking vacation next week. The agent runs list_leaves and reports back all pending time-off requests for that specific date range.
Project Costing Review
You need to see which projects were most active last quarter. You ask the agent, and it cross-references list_projects with recent activity reports.
The Tradeoffs
Treating data like a simple dashboard.
A user tries to manually check employee status by opening the website's directory and clicking through dozens of individual records, which is slow and error-prone.
→
Ask your agent directly. Using list_employees allows you to pull all necessary data points—like department or status—in one go.
Confusing listing with retrieval.
A user tries to get a specific employee's details by asking the agent to 'list employees named John Doe,' which returns a whole list instead of just the profile data they need.
→
Use get_employee and provide the employee ID or name directly. This targets one record, giving you the precise information.
Ignoring time ranges for reports.
A user asks to check time entries from 'last week' but doesn't specify a date range in their query, leading to incomplete or outdated data sets.
→
Always tell the agent when you need the data. Use list_time_entries and provide specific dates (YYYY-MM-DD) to ensure accuracy.
When It Fits, When It Doesn't
Use this MCP if your primary job involves aggregating, tracking, or auditing structured HR data—think payroll reconciliation, compliance checks, or resource forecasting. You need the machine to read and report on existing records (using list_employees or list_leaves). Don't use it if you just want a simple visual dashboard; for that, you'd connect this MCP to a dedicated BI tool. If your goal is simply to send an email notification about leave, the messaging tools might be better suited, but if that message needs data from Armano, then this MCP is exactly what you need.
Common Questions About Armano MCP
How do I check all staff members using list_employees? +
You ask your agent to run list_employees. It pulls the entire current employee directory, giving you a single source of truth for all active profiles.
Can I use get_time_entry if I only know the date range? +
No. get_time_entry requires specific details about one record. For multiple records, you must use list_time_entries and provide a date filter.
What is the best way to check leave status? list_leaves? +
Use list_leaves. This tool aggregates all pending or completed requests into one view, so you don't have to manually search through every employee profile for time off.
Does Armano MCP help with payroll data? create_time_entry? +
Yes. You can use create_time_entry to record work hours, which is the foundational data needed to feed into any automated payroll calculation system.
How do I verify connectivity using check_armano_status? +
It confirms your API connection status. The tool verifies if your credentials are active and reachable by Armano's system, letting you know immediately if there’s an issue before running complex workforce tasks.
What information can I pull about one staff member using get_employee? +
It returns the full profile for a single employee. You get detailed records including their department, role metadata, and contact info without needing to list the entire directory first.
How do I get specific project information with get_project? +
You provide the project ID or name. The tool pulls all associated details for that single project, including its scope and assigned team members, which is useful when auditing resource allocation.
What format must I use when listing records with list_time_entries? +
You need to pass a date range using the YYYY-MM-DD format. This structured input allows you to filter time logs precisely, improving performance and limiting data scope.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.