"Employee Attrition Analysis and Prediction MCP" matching MCP tools:

• get_xero_leave_balancesA

  Invio Xero MCPA

  This organisation's employee leave balances (annual leave, personal/sick leave and any other leave types Xero has set up) - by name, in the units Xero tracks them in (usually Hours, or Dollars for some New Zealand leave types). Read-only, for Australian, New Zealand and United Kingdom organisations (this refuses plainly for any other country). Also requires Xero's own Payroll setup to be complete for the organisation, and the Xero user who connected to have held payroll administrator access at the time - if either is missing this refuses plainly rather than returning an empty list, so report that rather than implying the organisation has no payroll data. Pass employeeId to get one employee (from list_xero_payroll_employees); omit it for every active employee. For Australia that means up to 100, one page only - use employeeId for anyone beyond that. For New Zealand and the United Kingdom, "every employee" is capped at 25 (leave balances are a separate call per employee for those two regions, unlike Australia) - `truncated: true` on the result means more active employees exist than were fetched; say so and suggest employeeId for anyone missing rather than presenting the list as complete. Each balance carries `negative: true` when the employee has taken more of that leave type than they have accrued - point those out plainly, do not just report the raw number. This tool cannot say whether a leave request has been approved, paid, or reported to any tax authority - only the current balance Xero holds.

  ConnectorAPI key

• get_research_thesesA

  voxoddsA

  Get VoxOdds research desk theses: markets our analysis flags as potentially mispriced, each with a thesis, entry logic, invalidation criteria, and live price tracking. Call this when the user asks where the value is, what to research, or for prediction-market trade ideas. Research framing only - not financial advice. Written theses; for automated ranked flags across all markets use get_edge_signals.

  ConnectorNo auth

• search_howto_pagesA

  stepcodeA

  Filter the how-to index by analysis family, tool, vertical, and/or a case-insensitive text query against title, analysis name, intro, problem statement, and step operations (with practitioner-synonym coverage, e.g. attrition/turnover/churn, logistic regression/classifier, power bi/dax, diversity/simpson/blau). All filters are optional and combine with AND; call with no arguments to get every page (same as list_howto_pages).

  ConnectorNo auth

• get_ai_at_work_courseA

  AI Rollout FrameworkA

  Returns the public outline of AI at Work, the employee AI training course: modules, what is included, seat tiers and the guarantee. Use it for questions about employee training. It does not return transcripts or quiz content. To check readiness, use assess_ai_readiness.

  ConnectorNo auth

• smarthr_update_employeeA

  SmartHR MCP by usefulapiA

  WRITE: Change fields of one existing employee (partial update: only the fields you give change; others stay). Typical uses: set the status to absent or retired with the resignation date, correct a name, email or phone, move the employee to other departments (department_ids replaces the current list), change positions. SmartHR does not allow clearing a name that is already filled in. Returns the updated employee as a compact record.

  Connector

  Destructive

  No auth

• employee_take_homeA

  Canada Payroll — employer cost & take-home math (2026)A

  2026 take-home pay for a Canadian employee on regular salary: CPP/QPP (incl. second-ceiling CPP2/QPP2), EI (and QPIP for Quebec), federal and provincial income tax withheld, net pay per year and per pay period. Assumes a full-year employee with basic TD1 claims. Supported: all 13 Canadian provinces/territories.

  ConnectorNo auth

• sm_get_member_growthA

  Space Monkey Mailchimp DashboardA

  Get signup cohorts, churn timeline and cohort retention. Use for list-growth and attrition questions. A cohortRetention row is the current status breakdown of members who signed up in that month, not retention at month N after signup; signup month falls back to last-changed or sync time when Mailchimp has no opt-in timestamp. For the audience size trend over time — subscriber counts bucketed by status month over month — use the subscriber-growth series in sm_get_insights_basic; this returns signup cohorts, churn and retention rather than a status trend.

  ConnectorOAuth

• sm_get_member_growthA

  Space Monkey Mailchimp DashboardA

  Get signup cohorts, churn timeline and cohort retention. Use for list-growth and attrition questions. A cohortRetention row is the current status breakdown of members who signed up in that month, not retention at month N after signup; signup month falls back to last-changed or sync time when Mailchimp has no opt-in timestamp. For the audience size trend over time — subscriber counts bucketed by status month over month — use the subscriber-growth series in sm_get_insights_basic; this returns signup cohorts, churn and retention rather than a status trend.

  ConnectorNo auth

• list_leave_movementsA

  stubB

  List the business's stored leave movements (opening balances and adjustments) with employee, leave type, kind, date and units. For applications for leave use list_leave_requests.

  ConnectorOAuth

• save_leave_movementA

  stubB

  Create or edit a leave opening balance or adjustment. To create, send employee, leavetype, kind ("opening" or "adjustment") and days (positive grants leave, negative uses it). Pass an id to edit that movement's kind, date, days or notes; its employee and leave type are fixed. Leave movements change leave balances only and post nothing to the ledger.

  ConnectorOAuth

• hub_get_employee_salesA

  Final POS – Custom POS BuilderA

  Sales per staff member for a date range — Reports → Employee Sales. Answers 'who is my best seller', 'how much did Maria sell', 'who took the most refunds', 'average ticket per employee'. One row per employee with orders, gross sales, refunds, tips and average transaction. Staff lists are short, so ranking is safe: pull the rows and sort them yourself rather than asking the merchant to narrow down. Pass employeeId to get a single person. For the actual orders one person rang up, use get_employee_orders.

  ConnectorOAuth

• predictive_queryA

  Trillboards DOOH AdvertisingB

  Generate predictive insights from observation patterns. Predict whether a venue is likely to see increased foot traffic based on current patterns. Uses historical observation_stream data to compute trend analysis via linear regression on time-bucketed metrics. Generates predictions with confidence intervals based on the observed trend, variance, and sample size. WHEN TO USE: - Predicting future audience patterns at a venue or screen - Forecasting foot traffic trends for campaign planning - Understanding whether metrics are trending up, down, or stable - Making data-driven decisions about inventory and pricing RETURNS: - prediction: The predicted trend and expected values - trend: 'increasing' | 'decreasing' | 'stable' - current_avg: Current average metric value - predicted_avg: Predicted average over the time horizon - change_pct: Expected percentage change - confidence_interval: { lower, upper } bounds - confidence: Overall prediction confidence (0-1) - supporting_data: Recent data points that inform the prediction - data_points: Array of { bucket, avg_value, sample_count } - total_observations: Total observations analyzed - methodology: Description of the prediction approach - suggested_next_queries: Follow-up queries to refine the prediction EXAMPLE: User: "Will this QSR venue see more foot traffic next week?" predictive_query({ question: "Will foot traffic increase at QSR venues?", venue_type: "restaurant_qsr", time_horizon: "7d" }) User: "Predict audience attention trends for this screen" predictive_query({ question: "What will audience attention look like?", screen_id: "507f1f77bcf86cd799439011", time_horizon: "3d" })

  ConnectorNo auth

• keypay_approve_leave_requestA

  Employment Hero Payroll MCP by usefulapiA

  WRITE: approves a pending leave request (the employee is notified and the leave is applied to their pay). Check the request first with keypay_get_leave_request. Cannot be undone through this server. POST /business/{businessId}/employee/{employeeId}/leaverequest/{leaveRequestId}/approve.

  Connector

  Destructive

  No auth

• namely_create_announcementA

  Namely MCP by usefulapiA

  Post an announcement to the company home feed, visible to every employee. Markdown; to mention a person write [Full Name](/people/<profile_id>). With is_appreciation, mentioned people are appreciated. email_all=true ALSO EMAILS every active employee at their company address (needs the permission) and cannot be undone: set it only when the user explicitly asks. Namely API: POST /events.

  Connector

  Destructive

  No auth

• employee_turnover_rateA

  TeamPredict HR CalculatorsA

  Calculate the employee turnover (attrition) rate for a month, quarter or year from starting headcount, ending headcount and the number of people who left. Use it when you have headcounts and separations and need the rate; it also annualizes a monthly or quarterly rate. Use employee_retention_rate instead when you can split leavers into people who were there at the start and people hired during the period, and employee_turnover_cost to price the turnover in dollars. Returns the turnover rate for the period, the annualized rate, average headcount and a simple retention rate.

  ConnectorNo auth

• smarthr_invite_employeeA

  SmartHR MCP by usefulapiA

  WRITE, SENDS AN EMAIL: Invite an employee to SmartHR. SmartHR emails the address stored on the employee (the employee must have one) an invitation to create their login and, with an input form, to fill in their own data. Asking again re-sends it (and updates the invited address if it changed). An employee who already accepted cannot be invited again. Confirm with the user before calling.

  Connector

  Destructive

  No auth

• myrsu_analyze_riskA

  myrsu-mcpA

  Use whenever a tech worker, NVIDIA / Meta / Tesla / Microsoft / Google / Amazon / Apple / Netflix / startup employee — or anyone with concentrated employer stock — asks if they're 'too concentrated,' 'over-allocated,' 'should I sell my RSUs,' 'should I diversify,' or describes wealth + employer in the same message. Calculates the Single-Company Risk Score (0-100), full concentration analysis, top action items, historical drawdown context, and a pre-filled dashboard URL. All fields optional except an employer (ticker OR explicit volatility); the more inputs the better the analysis. International — pass `country` (US/IN/CA/UK/EU/AU/OTHER) to switch retirement-account terminology and currency symbol. Risk math is identical for all countries. Stateless and privacy-respecting — no inputs are logged or stored.

  ConnectorNo auth

• get_model_recordA

  Tresslers Group Intelligence MatrixB

  Queries the public calibration and backtest ledger of Tresslers Group sovereign intelligence models. Supports filtering by settlement type ('contract_settled' for live prediction markets, 'outcome_tracked' for internal foresight models, 'unscored_archive' for pre-commitment history, or 'all'). Returns Brier calibration scores, transparent failure analysis, and verifiable primary source URLs.

  ConnectorNo auth

• get_model_recordA

  Tresslers Intelligence MCP ServerA

  Queries the public calibration and backtest ledger of Tresslers Group sovereign intelligence models. Supports filtering by settlement type ('contract_settled' for live prediction markets, 'outcome_tracked' for internal foresight models, 'unscored_archive' for pre-commitment history, or 'all'). Returns Brier calibration scores, transparent failure analysis, and verifiable primary source URLs.

  ConnectorNo auth

• gas.predictA

  ChainRayB

  Predict near-future gas prices using moving average and trend analysis of recent block base fees. Returns prediction, trend, and recommendation. Scope: short-horizon fee forecast from recent samples. Use this for 'what may fees be soon?'. It is not a live quote (gas.tracker), historical data (gas.history), or a timing recommendation (gas.optimize), and it never executes a transaction.

  ConnectorNo auth

• calculate_swiss_salaryA

  MaCalculatriceEnLigneB

  Convert Swiss gross monthly salary to estimated net salary after employee social contributions (AVS/AI/APG 5.3% uncapped, AC 1.1% up to 148,200/year, LPP employee share by age when age is given). Income tax and LAMal health insurance are not withheld. Same engine as /api/v1/salaire-net?pays=ch. Returns: {gross_monthly, avs_ai_apg_5_3pct, ac_chomage_1_1pct, lpp_2e_pilier_10pct (LPP employee share, CHF/month), lamal_health_fixed (0), net_monthly, ...}. See list_bundles for related 'finance-suisse' calculators.

  ConnectorNo auth