{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"smithery_akilat-spec-techno-leave-manager-mcp","slug":"akilat-spec-techno-leave-manager-mcp","name":"techno-leave-manager-mcp","type":"mcp","url":"https://github.com/akilat-spec/Techno-leave-manager-mcp","page_url":"https://unfragile.ai/akilat-spec-techno-leave-manager-mcp","categories":["mcp-servers"],"tags":["mcp","model-context-protocol","smithery:akilat-spec/techno-leave-manager-mcp"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"smithery_akilat-spec-techno-leave-manager-mcp__cap_0","uri":"capability://tool.use.integration.leave.request.submission.via.mcp","name":"leave-request-submission-via-mcp","description":"Enables AI agents and LLM-based applications to submit leave requests through the Model Context Protocol, translating natural language or structured leave parameters (dates, type, reason) into standardized leave request objects that integrate with backend HR systems. Uses MCP's tool-calling interface to expose leave submission as a callable resource, abstracting away direct database or API calls.","intents":["I want my AI assistant to submit leave requests on my behalf without exposing HR system credentials","I need to build an agent that can process leave requests from Slack or email and route them to HR","I want to integrate leave management into a multi-step workflow where an LLM decides whether to approve or request more info"],"best_for":["teams building AI agents that interact with HR systems","organizations deploying Claude or other LLM-based assistants with HR capabilities","developers integrating leave management into conversational interfaces"],"limitations":["MCP protocol overhead adds ~50-100ms per request compared to direct REST API calls","No built-in request queuing or retry logic — failures require client-side handling","Depends on backend HR system availability — no offline caching of leave policies","Limited to leave types and fields defined in the backend schema"],"requires":["MCP client implementation (Claude Desktop, custom MCP host, or Cline)","Backend HR system with leave request API or database write access","Authentication credentials or service account for the HR system","Node.js 16+ or Python 3.8+ (depending on MCP server implementation)"],"input_types":["structured JSON (leave type, start date, end date, reason)","natural language (parsed by LLM before submission)"],"output_types":["structured JSON confirmation (request ID, status, submission timestamp)","error messages with validation details"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-techno-leave-manager-mcp__cap_1","uri":"capability://tool.use.integration.leave.balance.query.with.mcp.resources","name":"leave-balance-query-with-mcp-resources","description":"Provides LLM agents with read-only access to employee leave balances (accrued, used, remaining) through MCP resource endpoints, enabling agents to check eligibility before submitting requests or inform users of their leave status. Implements MCP's resource protocol to expose leave balance data as queryable, read-only resources that agents can inspect without modifying state.","intents":["I want my AI assistant to check my leave balance before suggesting when I can take time off","I need an agent to validate that an employee has sufficient leave balance before auto-approving a request","I want to build a leave chatbot that can answer 'How much leave do I have left?' without human intervention"],"best_for":["conversational HR assistants and chatbots","leave request workflows that require pre-submission validation","self-service leave portals powered by LLMs"],"limitations":["Read-only access — cannot modify balances directly through this capability","Data freshness depends on backend sync frequency — may show stale balances if HR system updates are delayed","No built-in caching — repeated queries hit the backend each time, adding latency","Requires employee ID or context to be passed by the agent — no automatic user identification"],"requires":["MCP client with resource reading capability","Backend HR system with leave balance query API","Employee authentication or service account with read permissions","Context passing mechanism to identify which employee's balance to retrieve"],"input_types":["employee ID or email","optional: fiscal year or date range for historical balances"],"output_types":["structured JSON with leave balance breakdown (total accrued, used, remaining, by leave type)"],"categories":["tool-use-integration","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-techno-leave-manager-mcp__cap_2","uri":"capability://tool.use.integration.leave.request.approval.workflow.orchestration","name":"leave-request-approval-workflow-orchestration","description":"Orchestrates multi-step leave approval workflows through MCP by exposing approval, rejection, and escalation actions as callable tools, allowing agents to route requests to appropriate approvers, check approval status, and handle conditional logic based on leave type, duration, or manager availability. Implements workflow state transitions as discrete MCP tool calls that agents can chain together.","intents":["I want an AI agent to automatically route leave requests to the correct manager based on department and leave type","I need to build a workflow where requests over 5 days are escalated to HR, but shorter requests go to direct managers","I want an agent to check approval status and send reminders if a request has been pending for more than 3 days"],"best_for":["organizations automating leave approval chains","teams building intelligent HR agents that handle conditional routing","companies with complex approval hierarchies (matrix organizations, multiple departments)"],"limitations":["Workflow state is managed by the backend — agent has no transactional guarantees if multiple agents submit conflicting actions","No built-in deadlock detection — concurrent approval attempts on the same request may cause race conditions","Escalation logic must be pre-defined in the backend; agents cannot dynamically create new approval paths","Audit trail depends on backend logging — MCP server provides no built-in compliance or approval history tracking"],"requires":["MCP server with approval workflow state machine implemented","Backend HR system with approval routing and status tracking","Manager/approver authentication and authorization checks","Notification system (email, Slack) for approval notifications"],"input_types":["leave request ID","approval action (approve, reject, escalate)","optional: comments or rejection reason"],"output_types":["workflow state update confirmation","next approver information","approval history timeline"],"categories":["tool-use-integration","automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-techno-leave-manager-mcp__cap_3","uri":"capability://tool.use.integration.leave.type.and.policy.retrieval","name":"leave-type-and-policy-retrieval","description":"Provides agents with access to organization-specific leave policies, types (vacation, sick, personal, sabbatical), accrual rules, and restrictions through MCP resources, enabling agents to validate requests against policy and inform users of eligibility. Implements policy data as queryable MCP resources that agents can inspect to understand constraints (e.g., 'sick leave requires medical certificate after 3 days', 'sabbatical requires 5 years tenure').","intents":["I want my agent to explain leave policies to employees without requiring manual HR lookup","I need to validate that a leave request complies with company policy before submission","I want an agent to inform users of eligibility requirements (e.g., 'You need 2 more years to qualify for sabbatical')"],"best_for":["self-service leave portals with policy guidance","leave request validation agents","HR chatbots that educate employees on leave entitlements"],"limitations":["Policy data is static snapshots — agents cannot detect policy changes in real-time","Complex policies with many conditions (e.g., 'leave accrual depends on employment type and tenure') may be difficult for agents to reason over","No built-in policy versioning — agents cannot distinguish between current and historical policies","Policy interpretation is agent-dependent — different LLM models may apply policies inconsistently"],"requires":["MCP server with policy data schema defined","Backend HR system with policy configuration","Policy documentation in structured format (JSON schema preferred)"],"input_types":["optional: leave type filter","optional: employee attributes (tenure, employment type) for eligibility checks"],"output_types":["structured JSON with leave types, accrual rates, restrictions, and eligibility criteria"],"categories":["tool-use-integration","memory-knowledge","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-techno-leave-manager-mcp__cap_4","uri":"capability://tool.use.integration.leave.request.history.and.audit.retrieval","name":"leave-request-history-and-audit-retrieval","description":"Exposes employee leave request history and audit trails through MCP resources, allowing agents to retrieve past requests, approval decisions, and status changes to inform current decisions or provide historical context. Implements history as paginated, filterable MCP resources that agents can query by date range, leave type, or status.","intents":["I want an agent to check if an employee has already submitted a request for the same dates","I need to retrieve approval history to understand why a previous similar request was rejected","I want an agent to detect patterns (e.g., 'this employee always takes leave on Fridays') for policy enforcement"],"best_for":["leave request deduplication and fraud detection","approval workflow agents that need historical context","compliance and audit reporting"],"limitations":["History queries can be slow for employees with many requests — no built-in indexing or aggregation","Agents may misinterpret historical patterns (e.g., confusing correlation with causation)","Privacy concerns — exposing full history to agents may violate data protection policies","No built-in anonymization — audit trails contain personally identifiable information"],"requires":["MCP server with history query implementation","Backend HR system with leave request audit logging","Access control to ensure agents only retrieve authorized history"],"input_types":["employee ID","optional: date range, leave type filter, status filter"],"output_types":["paginated list of leave requests with timestamps, statuses, and approval decisions"],"categories":["tool-use-integration","memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-techno-leave-manager-mcp__cap_5","uri":"capability://tool.use.integration.mcp.protocol.standardization.for.hr.tools","name":"mcp-protocol-standardization-for-hr-tools","description":"Standardizes HR leave management operations (submission, approval, querying) under the Model Context Protocol, enabling any MCP-compatible client (Claude Desktop, Cline, custom agents) to interact with the leave system without custom integrations. Implements MCP server that exposes leave operations as tools and resources following MCP specification, abstracting away backend HR system details.","intents":["I want to use the same leave management interface across multiple AI tools (Claude, Cline, custom agents)","I need to decouple my HR system from specific LLM platforms by using a standard protocol","I want to build a leave management MCP server that any MCP client can consume"],"best_for":["organizations standardizing on MCP for AI integrations","developers building HR tool ecosystems","teams migrating from REST APIs to MCP for LLM integration"],"limitations":["MCP is still evolving — breaking changes in protocol versions may require server updates","Not all LLM platforms support MCP yet — limits client compatibility","MCP adds abstraction overhead compared to direct API calls (~50-100ms per request)","Debugging MCP issues requires understanding both server and client implementations"],"requires":["MCP server implementation (Node.js, Python, or other supported runtime)","MCP client that supports the server (Claude Desktop, Cline, custom MCP host)","Backend HR system with APIs or database access"],"input_types":["MCP tool calls with standardized parameters","MCP resource queries"],"output_types":["MCP tool results (JSON)","MCP resources (JSON)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-techno-leave-manager-mcp__cap_6","uri":"capability://tool.use.integration.leave.request.modification.and.cancellation","name":"leave-request-modification-and-cancellation","description":"Provides MCP tools for agents to modify pending leave requests (change dates, reason, or type) and cancel submitted requests before approval. The implementation handles state validation (only pending requests can be modified), updates backend HR system records, and triggers notifications to approvers about changes or cancellations.","intents":["I want to allow employees to modify their leave requests before approval through an AI assistant","I need to cancel leave requests and restore leave balance when plans change","I want to track modifications to leave requests for audit purposes"],"best_for":["Employee self-service leave management agents","Flexible leave workflows supporting request changes","Audit-conscious organizations tracking leave request modifications"],"limitations":["Modification is only allowed for pending requests — approved or rejected requests cannot be changed","No built-in conflict detection — modifying dates may create overlaps with other approved leave","Cancellation does not automatically restore leave balance — backend system must handle balance adjustments","Notification delivery to approvers is asynchronous — agents cannot confirm notification receipt"],"requires":["MCP client authenticated as the leave request owner or manager","Backend HR system with request state management and modification tracking"],"input_types":["structured JSON with request_id and modification fields (new_dates, new_reason, new_leave_type)"],"output_types":["JSON with updated request details, modification_timestamp, and notification_status"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"smithery_akilat-spec-techno-leave-manager-mcp__cap_7","uri":"capability://tool.use.integration.leave.type.and.category.enumeration","name":"leave-type-and-category-enumeration","description":"Exposes available leave types (vacation, sick, personal, sabbatical, etc.) and their properties through MCP tools that agents can query to understand leave categories, accrual rules, and usage restrictions. The implementation retrieves leave type definitions from the backend HR system and presents them in a structured format suitable for agent decision-making and user guidance.","intents":["I want my AI assistant to understand what leave types are available and their rules","I need to validate that a requested leave type is valid for the employee's role or tenure","I want to provide employees with guidance on which leave type to use for different situations"],"best_for":["Employee self-service leave request agents","Leave request validation systems","HR chatbots providing leave type guidance"],"limitations":["Leave type definitions are static — changes require server restart or cache invalidation","No built-in role-based filtering — agents must implement custom logic to determine eligible leave types per employee","Leave type properties (accrual rate, carryover rules) may be complex and not fully expressible in structured format","No support for custom or ad-hoc leave types — only predefined types in backend system"],"requires":["Backend HR system with leave type definitions"],"input_types":["optional structured JSON with filters (department, employee_type)"],"output_types":["JSON array of leave types with properties: name, code, accrual_rate, max_balance, carryover_policy, approval_required"],"categories":["tool-use-integration","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["MCP client implementation (Claude Desktop, custom MCP host, or Cline)","Backend HR system with leave request API or database write access","Authentication credentials or service account for the HR system","Node.js 16+ or Python 3.8+ (depending on MCP server implementation)","MCP client with resource reading capability","Backend HR system with leave balance query API","Employee authentication or service account with read permissions","Context passing mechanism to identify which employee's balance to retrieve","MCP server with approval workflow state machine implemented","Backend HR system with approval routing and status tracking"],"failure_modes":["MCP protocol overhead adds ~50-100ms per request compared to direct REST API calls","No built-in request queuing or retry logic — failures require client-side handling","Depends on backend HR system availability — no offline caching of leave policies","Limited to leave types and fields defined in the backend schema","Read-only access — cannot modify balances directly through this capability","Data freshness depends on backend sync frequency — may show stale balances if HR system updates are delayed","No built-in caching — repeated queries hit the backend each time, adding latency","Requires employee ID or context to be passed by the agent — no automatic user identification","Workflow state is managed by the backend — agent has no transactional guarantees if multiple agents submit conflicting actions","No built-in deadlock detection — concurrent approval attempts on the same request may cause race conditions","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.26,"ecosystem":0.48999999999999994,"match_graph":0.25,"freshness":0.5,"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":"2026-05-03T15:19:31.415Z","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-techno-leave-manager-mcp","compare_url":"https://unfragile.ai/compare?artifact=akilat-spec-techno-leave-manager-mcp"}},"signature":"FxbCkSgUp8/XPPmGHi48AAY7bAvQ42yAugOQcAfk+AsOTnM+c1z9X0ZNHZStBEm4h6cF66FqItVmdO0lhmIWAw==","signedAt":"2026-06-21T02:55:36.434Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/akilat-spec-techno-leave-manager-mcp","artifact":"https://unfragile.ai/akilat-spec-techno-leave-manager-mcp","verify":"https://unfragile.ai/api/v1/verify?slug=akilat-spec-techno-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"}}