{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_akilat-spec-leave-manager-mcp","slug":"akilat-spec-leave-manager-mcp","name":"Leave Manager","type":"mcp","url":"https://github.com/akilat-spec/leave-manager-mcp","page_url":"https://unfragile.ai/akilat-spec-leave-manager-mcp","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:akilat-spec/leave-manager-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_akilat-spec-leave-manager-mcp__cap_0","uri":"capability://tool.use.integration.employee.leave.balance.lookup","name":"employee-leave-balance-lookup","description":"Retrieves current leave balance for a specific employee by querying an internal HR data store or connected HR system via MCP protocol. Implements a schema-based resource endpoint that accepts employee identifiers (ID, email, or name) and returns structured balance data including accrued, used, and remaining leave across multiple leave types (vacation, sick, personal, etc.). The lookup is performed synchronously with caching to minimize repeated queries.","intents":["I need to quickly check how much vacation time an employee has left before approving their request","I want to see the leave balance breakdown across different leave categories for payroll reconciliation","I need to find an employee's remaining balance to inform them during a conversation"],"best_for":["HR managers and team leads reviewing leave requests in real-time","Payroll teams reconciling leave accruals and usage","Employees self-serving balance checks via AI assistants"],"limitations":["Requires pre-existing HR system integration or data sync — no built-in data storage","Balance accuracy depends on upstream HR system update frequency; may lag real-time changes by minutes to hours","No support for complex leave policies with conditional accrual rules (e.g., tenure-based, role-based variations)"],"requires":["MCP server running with HR data source configured","Employee records with standardized identifier fields (employee_id, email, or name)","Connection to HR system API or database with read permissions"],"input_types":["text (employee identifier: ID, email, or name)"],"output_types":["structured JSON (balance object with leave type breakdown, dates, accrual info)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-leave-manager-mcp__cap_1","uri":"capability://tool.use.integration.leave.request.submission.workflow","name":"leave-request-submission-workflow","description":"Enables employees to submit leave requests through a structured form-based workflow via MCP tools. Accepts request parameters (employee ID, leave type, start/end dates, reason) and validates against business rules (minimum notice period, blackout dates, manager approval routing) before persisting to the HR system. Implements a multi-step process that can be orchestrated by LLM agents to guide users through required fields and conditional logic.","intents":["I want to submit a vacation request and have it automatically routed to my manager for approval","I need to apply for emergency leave and want the system to validate it against company policies before submission","I want an AI assistant to walk me through the leave request process and fill in required fields"],"best_for":["Employees submitting leave requests via conversational AI interfaces","HR teams automating leave request intake and validation","Organizations standardizing leave request workflows across multiple systems"],"limitations":["Validation rules are static and configured at deployment time — no runtime policy updates without redeployment","No built-in support for complex conditional approvals (e.g., manager + HR sign-off for extended leave)","Blackout dates and business rules must be pre-configured in the MCP server; no dynamic policy engine"],"requires":["MCP server with write access to HR system","Employee authentication/authorization context passed via MCP protocol","Pre-configured leave types, approval workflows, and validation rules"],"input_types":["structured data (employee_id, leave_type, start_date, end_date, reason, attachments)"],"output_types":["structured JSON (request_id, status, approval_routing, next_steps, validation_errors)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-leave-manager-mcp__cap_2","uri":"capability://search.retrieval.employee.directory.search.and.filtering","name":"employee-directory-search-and-filtering","description":"Provides full-text and faceted search across employee records to quickly locate the right person for leave request review or approval. Implements search by name, email, department, manager, or role with fuzzy matching to handle typos and partial matches. Results are ranked by relevance and include key metadata (department, manager, current role) to aid in selection. Search is performed against a synchronized employee directory, either via direct database query or HR API integration.","intents":["I need to find the right manager to route this leave request to, but I only know the employee's first name","I want to see all employees in the Engineering department to review their pending leave requests","I need to locate an employee by email to check their leave balance and approval history"],"best_for":["HR managers and team leads reviewing multiple leave requests and needing to identify approvers","Payroll teams reconciling leave records across large employee populations","AI assistants helping employees find their manager or HR contact for leave-related questions"],"limitations":["Search accuracy depends on data quality in upstream HR system — incomplete or inconsistent employee records reduce match quality","Fuzzy matching adds ~50-100ms latency per search; not suitable for real-time autocomplete in high-volume scenarios","No support for complex organizational hierarchies (matrix reporting, dotted-line relationships)"],"requires":["MCP server with read access to employee directory","Employee records with searchable fields (name, email, department, manager, role)","Search index or database query capability (e.g., PostgreSQL full-text search, Elasticsearch)"],"input_types":["text (search query: name, email, department, or role)"],"output_types":["structured JSON array (employee records with id, name, email, department, manager, role, contact_info)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-leave-manager-mcp__cap_3","uri":"capability://automation.workflow.leave.request.approval.workflow","name":"leave-request-approval-workflow","description":"Manages the approval process for submitted leave requests by routing them to designated approvers (managers, HR, compliance) based on configurable rules. Implements a state machine that tracks request status (pending, approved, rejected, escalated) and supports approval actions with optional comments or conditions. Approvers can review request details, employee leave balance, and historical approval patterns before making decisions. Notifications are sent to relevant parties (employee, manager, HR) at each workflow stage.","intents":["I need to review and approve or reject a pending leave request from my team member","I want to see all pending leave requests assigned to me for approval with relevant context","I need to escalate a leave request to HR if it violates company policy or requires special handling"],"best_for":["Managers and team leads approving leave requests from their direct reports","HR teams managing escalated or complex leave requests","Organizations automating leave approval workflows to reduce manual processing"],"limitations":["Approval routing rules are static and configured at deployment time — no dynamic rule changes without redeployment","No built-in support for parallel approvals (e.g., manager + HR sign-off simultaneously); only sequential routing","Approval history and audit trail depend on external logging — no built-in compliance reporting"],"requires":["MCP server with write access to leave request records","Approver authentication/authorization context passed via MCP protocol","Pre-configured approval routing rules and escalation criteria"],"input_types":["structured data (request_id, approval_action, approver_id, comments, conditions)"],"output_types":["structured JSON (updated_request_status, approval_timestamp, next_approver, notifications_sent)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-leave-manager-mcp__cap_4","uri":"capability://data.processing.analysis.leave.balance.accrual.and.reconciliation","name":"leave-balance-accrual-and-reconciliation","description":"Tracks leave accrual over time (e.g., monthly vacation accrual, annual sick leave allocation) and reconciles actual usage against accrued balances. Implements accrual rules based on employee tenure, role, or company policy and updates balances periodically (monthly, quarterly, annually). Provides reconciliation reports that identify discrepancies between accrued and used leave, flagging potential data integrity issues or policy violations. Accrual calculations are performed asynchronously and cached to avoid repeated computation.","intents":["I need to verify that leave balances are correctly accrued for all employees at the end of the month","I want to identify employees who have negative leave balances or are over-using leave","I need to generate a reconciliation report for payroll to ensure leave accruals match our accounting records"],"best_for":["Payroll teams reconciling leave accruals and usage monthly or quarterly","HR teams managing leave policy compliance and identifying policy violations","Finance teams auditing leave-related liabilities and accruals"],"limitations":["Accrual rules are static and configured at deployment time — no runtime policy changes without redeployment","No support for complex accrual scenarios (e.g., pro-rata accrual for mid-year hires, catch-up accruals for policy changes)","Reconciliation depends on accurate historical data — missing or incorrect leave records will skew reconciliation results"],"requires":["MCP server with read/write access to leave balance and accrual records","Employee records with tenure, role, and accrual policy information","Pre-configured accrual rules and reconciliation criteria"],"input_types":["structured data (employee_id, accrual_period, policy_version) or batch reconciliation request"],"output_types":["structured JSON (accrual_summary, reconciliation_report, discrepancies, audit_log)"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-leave-manager-mcp__cap_5","uri":"capability://data.processing.analysis.leave.request.history.and.audit.trail","name":"leave-request-history-and-audit-trail","description":"Maintains a complete audit trail of all leave requests, approvals, and balance changes with timestamps, user actions, and change reasons. Implements immutable logging that records who submitted/approved/rejected each request, when actions occurred, and what changes were made to leave balances. Provides query capabilities to retrieve historical records for a specific employee, request, or time period. Audit logs are retained for compliance and can be exported for external audits or investigations.","intents":["I need to review the approval history for a specific leave request to understand why it was rejected","I want to see all leave requests submitted by an employee in the past year for compliance verification","I need to generate an audit report showing all leave balance changes for a specific employee for payroll reconciliation"],"best_for":["Compliance and audit teams verifying leave request handling and policy adherence","HR teams investigating disputes or policy violations related to leave","Finance teams auditing leave-related liabilities and accruals"],"limitations":["Audit logs are append-only and immutable — no ability to correct historical records if errors are discovered","Query performance may degrade with large historical datasets (millions of records); requires database indexing strategy","No built-in data retention policies — organizations must implement their own archival/deletion policies"],"requires":["MCP server with read access to audit logs and leave request history","Persistent storage for audit logs (database, data warehouse, or append-only log system)","Timestamp and user context captured for all leave request operations"],"input_types":["structured data (employee_id, request_id, date_range, or audit_query)"],"output_types":["structured JSON array (audit_log_entries with timestamp, user, action, change_details) or CSV export"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-leave-manager-mcp__cap_6","uri":"capability://tool.use.integration.leave.policy.configuration.and.retrieval","name":"leave-policy-configuration-and-retrieval","description":"Exposes MCP resources or tools to retrieve and (for admins) configure leave policies including accrual rules, notice periods, blackout dates, maximum consecutive days, and leave type definitions. Policies are stored as configuration and applied during request validation and balance calculations. Supports versioning of policies to track changes over time.","intents":["Retrieve the current leave policies to understand what rules apply to a request","Update leave policies (e.g., increase vacation days) and apply them to future requests","Check what leave types are available (vacation, sick, personal, etc.) and their rules"],"best_for":["HR teams managing leave policies across the organization","Compliance teams ensuring policies meet regulatory requirements","Agents that need to explain leave policies to employees"],"limitations":["Policy changes are not retroactive — existing requests continue to use policies in effect at submission time","No support for department-specific or role-specific policies — all policies are organization-wide","Policy versioning is manual; no automatic tracking of who changed what and when","No validation that policy changes are compliant with labor laws — admins are responsible for compliance"],"requires":["MCP server runtime","Configuration storage for leave policies (JSON, database, or config file)","HR administrator authentication for policy updates"],"input_types":["policy-query (string: policy_name or leave_type)","policy-update (JSON: policy_name, new_rules, effective_date)"],"output_types":["policy-document (JSON: leave_types[], accrual_rules, notice_period, blackout_dates, max_consecutive_days)","policy-version (JSON: version_id, effective_date, created_by, changes)"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["MCP server running with HR data source configured","Employee records with standardized identifier fields (employee_id, email, or name)","Connection to HR system API or database with read permissions","MCP server with write access to HR system","Employee authentication/authorization context passed via MCP protocol","Pre-configured leave types, approval workflows, and validation rules","MCP server with read access to employee directory","Employee records with searchable fields (name, email, department, manager, role)","Search index or database query capability (e.g., PostgreSQL full-text search, Elasticsearch)","MCP server with write access to leave request records"],"failure_modes":["Requires pre-existing HR system integration or data sync — no built-in data storage","Balance accuracy depends on upstream HR system update frequency; may lag real-time changes by minutes to hours","No support for complex leave policies with conditional accrual rules (e.g., tenure-based, role-based variations)","Validation rules are static and configured at deployment time — no runtime policy updates without redeployment","No built-in support for complex conditional approvals (e.g., manager + HR sign-off for extended leave)","Blackout dates and business rules must be pre-configured in the MCP server; no dynamic policy engine","Search accuracy depends on data quality in upstream HR system — incomplete or inconsistent employee records reduce match quality","Fuzzy matching adds ~50-100ms latency per search; not suitable for real-time autocomplete in high-volume scenarios","No support for complex organizational hierarchies (matrix reporting, dotted-line relationships)","Approval routing rules are static and configured at deployment time — no dynamic rule changes without redeployment","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.39,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.6,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:25.635Z","last_scraped_at":"2026-05-03T15:19:11.469Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=akilat-spec-leave-manager-mcp","compare_url":"https://unfragile.ai/compare?artifact=akilat-spec-leave-manager-mcp"}},"signature":"NHtrpsUId44F7dQsSXrv4qMzsFwc/ZAmWhE7GJdypor1kF3XF51sLSe7dbi8veswQurw0hKlgeqGydc4Mj0GDw==","signedAt":"2026-06-21T09:26:48.936Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/akilat-spec-leave-manager-mcp","artifact":"https://unfragile.ai/akilat-spec-leave-manager-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=akilat-spec-leave-manager-mcp","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}