AssessTEAM MCP for AI. Link performance data to real-world profit metrics.
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AssessTEAM connects your agent to employee performance data, project financials, and time logs in one place. You can run 360-degree reviews, track who is billing what, and see if a project is actually making money—all through natural conversation.
It cuts out the spreadsheets and dashboard diving.
What your AI can do
Create timesheet entry
Records a new entry detailing hours worked by an employee on a specific project.
List employees
Retrieves a list of all active employees in the organization.
List performance evaluations
Fetches records of past performance reviews and KPI assessments for employees.
Get detailed financial reports showing if a specific project or department is making money.
Create and retrieve time logs to accurately report employee work hours for billing.
See a list of all employees, departments, and team hierarchies within the company.
List past employee evaluations and KPI scores to track development over time.
Ask an AI about this
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AssessTEAM: 7 Resource Tools
Use these tools to analyze everything from employee staffing levels to current project financial margins.
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 AssessTEAM on VinkiusCreate Timesheet Entry
Records a new entry detailing hours worked by an employee on a specific project.
List Employees
Retrieves a list of all active employees in the organization.
List Performance Evaluations
Fetches records of past performance reviews and KPI assessments for employees.
Get Profitability Report
Generates a detailed financial report showing the profit and margin for a selected...
List Projects
Retrieves a list of all active projects managed within AssessTEAM.
List Organizational Teams
Provides a list and structure map of defined organizational teams.
List Timesheets
Lists historical time entries and records for an employee or project.
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 AssessTEAM 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 every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with AssessTEAM, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ 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 AssessTEAM. 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 connection provides 7 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Sifting Through Spreadsheets for Project Status
Right now, checking a single project’s viability means jumping through hoops. You log into the HR system to see team capacity; you copy-paste timesheets from a separate sheet to calculate labor costs; then you manually take those numbers and dump them into a financial model just to get a basic margin assessment.
With this MCP, your agent handles that entire process in one query. Instead of spending an hour aggregating data across three different tabs, you simply ask: 'Is the Mobile App v2 project profitable?' And you get the answer immediately.
AssessTEAM MCP lets you calculate profit from labor hours.
The major manual steps that vanish are the data cross-referencing and the report generation. You no longer have to manually link records from `list_timesheets` into a profitability model, nor do you need to run three separate reports (staffing, time logs, financials) just for a meeting slide.
It’s about connecting the dots instantly. Your agent gives you one unified financial picture based on your actual workforce activity.
What your AI can actually do with this
Managing human capital usually means juggling three different systems: HR for evaluations, accounting for cash flow, and operations for time tracking. This MCP changes that. Instead of manually compiling reports across dashboards or exporting data to Excel just to figure out if 'Project Phoenix' was worth the manpower, your agent handles it all.
You simply ask your AI client a question—like 'What was the profitability last quarter compared to the Engineering team’s performance?'—and you get an instant answer that connects employee reviews directly to dollar signs. It gives you total visibility into how people and projects perform together. This kind of cross-functional insight is exactly what Vinkius made this MCP possible for.
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Here's how it actually works
The bottom line is you stop jumping between HRIS and accounting platforms; you just ask one smart tool for the answer.
Subscribe to this MCP and input your AssessTEAM API key.
Connect the service credentials via any MCP-compatible client (Claude, Cursor, etc.).
Use natural language prompts with your agent to query employee status or project finances.
Who is this actually for?
Operations leads, HR managers, and business owners. This MCP is for anyone who spends more time correlating data across departments than actually doing work. It gets you out of the dashboard sprawl.
Quickly pull historical performance reviews or list all employees to manage team evaluations.
Verify labor costs and project hours by listing timesheets and checking the overall profitability for a given timeframe.
Get instant, high-level views of which projects are most profitable and where employee productivity is lagging.
What Changes When You Connect
You don't have to manually aggregate time logs. Use the create_timesheet_entry tool to log hours, and then use your agent to query list_timesheets for a complete history of work.
Stop guessing about project health. Run get_profitability_report to see exactly how much money each initiative is generating based on current labor costs.
Understand your workforce structure instantly by listing teams and employees using list_organizational_teams and list_employees. Know who reports to whom without opening a directory.
Track talent development history. The list_performance_evaluations tool lets you pull up past reviews, so you can measure growth against concrete metrics year over year.
Manage project scope visibility by listing all active projects via list_projects. This gives you the necessary context before checking profitability or staffing needs.
See it in action
Closing the books on a client project.
A project manager asks their agent: 'How much did Project Zenith cost us versus how much revenue it generated?' The agent first uses list_projects to confirm the ID, then calls get_profitability_report, giving an instant answer that links labor costs directly to profit.
Reviewing employee workload and billing.
An operations lead asks: 'Show me all timesheets for John Doe over the last month.' The agent uses list_timesheets and cross-references it with list_employees to give a detailed, auditable report of billable hours.
Planning department restructuring.
An HR manager needs to know which teams are performing poorly. They ask the agent to combine results from list_organizational_teams and list_performance_evaluations, allowing them to pinpoint departments needing immediate support.
Checking if a new hire is ready for billing.
A business owner asks: 'Did the new team complete their required training hours?' The agent checks list_timesheets and confirms that all mandatory time entries were logged before approving status changes.
The honest tradeoffs
Confusing general employee data with project work.
Asking the AI client for 'all performance metrics' without specifying a timeframe or department. The tool returns an unusable, massive dump of every review ever recorded.
Always specify your scope. For example: 'Show me all performance evaluations listed by list_performance_evaluations for the Engineering team in Q1 2024.' This narrows the data to what you actually need.
Trying to calculate profit from raw employee lists.
Using only list_employees and expecting financial results. The list is just names; it contains zero dollar signs or billing information.
Profit requires time tracking data. You must combine the results of list_timesheets with the get_profitability_report tool to make any kind of financial sense.
Assuming the latest report is always accurate.
Relying on a cached profitability number from last week. By the time you read it, the project scope may have changed, making the data wrong.
Always ask for current reports and consider using list_projects first to confirm the active status before running any financial queries.
When It Fits, When It Doesn't
Use this MCP if your core business problem is linking people (performance, time) directly to money (profitability). If you need an answer that requires cross-referencing who worked on what project and whether that work contributed revenue, this is the tool. Don't use it just because you have HR data; make sure you also need the financial context.
Don't use this MCP if your primary goal is simply managing employee records (use a dedicated HRIS) or tracking cash flow without regard to labor hours (use pure accounting software). If all you need is an employee roster, list_employees works. But if you need to know why that roster matters financially, you've come to the right place.
Questions you might have
How do I use `create_timesheet_entry`? +
You tell your agent to create a timesheet entry, specifying the employee ID, the project name, and the hours. The MCP handles logging that accurate time against the correct job.
Can I check project profitability using `get_profitability_report`? +
Yes. You tell your agent which project you want analyzed, and it generates a detailed report showing the financial margin for that specific initiative.
What is the difference between `list_employees` and `list_organizational_teams`? +
The list of employees provides individual records. The list of organizational teams maps out the structure, showing which groups exist and how they relate to one another.
`list_performance_evaluations`—what kind of data does it give? +
It gives you historical review metrics, including past KPI scores and general feedback records. It helps track employee development over time.
How do I use `list_timesheets` to find entries from a specific time period? +
You can filter timesheet results by providing start and end dates in the query parameters. This lets you quickly review labor costs or performance for a defined historical window without fetching every record.
What happens if `list_employees` fails to return any data? +
This usually means either no employees are registered under your current account permissions, or the API key needs updating. Double-check that your credentials grant access across all required organizational units.
Does `list_projects` provide enough detail to calculate profitability? +
No, listing projects gives you basic metadata like names and statuses. To get financial metrics or margin analysis, you must use the separate get_profitability_report tool.
Are there limitations on how often I can run `create_timesheet_entry`? +
The system handles rate limiting to maintain stability. If you make too many entries in rapid succession, your agent will receive an error; try spacing out your calls slightly.
Can I see the profitability metrics for a specific project? +
Yes! Use the get_profitability_report tool. Your agent will retrieve detailed financial data, including cost vs. revenue and margin analysis for your active projects.
How do I add a new timesheet entry for an employee? +
Use the create_timesheet_entry action. Provide the Employee ID, Project ID, number of hours, and the date in YYYY-MM-DD format to log the work instantly.
Is it possible to list all team members via AI? +
Absolutely. Use the list_employees query. The agent will retrieve the complete directory of collaborators and team members associated with your account.
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