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The MCP server translates conversational intent into ilert API calls, enabling developers to build AI agents that handle on-call workflows without direct API integration.","intents":["I want Claude to create an incident when my monitoring system detects a critical alert","I need to acknowledge and escalate incidents through conversational AI without leaving my chat interface","I want to build an AI agent that can manage the full incident lifecycle based on natural language instructions"],"best_for":["DevOps teams integrating AI-driven incident response into existing ilert workflows","On-call engineers building AI assistants for rapid incident triage and escalation","Platform teams implementing LLM-based automation on top of ilert infrastructure"],"limitations":["Requires active ilert subscription and valid API credentials; no free tier support documented","MCP protocol overhead adds latency compared to direct REST API calls — suitable for async incident workflows, not real-time alerting","Limited to ilert's API surface — cannot perform custom business logic or multi-system orchestration without additional tooling","No built-in rate limiting or batching — high-volume incident creation may hit ilert API throttles"],"requires":["ilert account with API access enabled","ilert API key (v1 or v2 depending on endpoint support)","MCP-compatible LLM client (Claude via Claude Desktop, or compatible server implementation)","Network connectivity to ilert API endpoints (api.ilert.com or regional variant)"],"input_types":["natural language text (incident descriptions, escalation requests)","structured incident metadata (severity, assignee, group)"],"output_types":["incident creation confirmation with ID and status","acknowledgment/escalation status updates","incident details and timeline information"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ilert__cap_1","uri":"capability://tool.use.integration.incident.creation.with.context.preservation","name":"incident-creation-with-context-preservation","description":"Translates natural language incident descriptions into structured ilert incident objects, preserving context like severity, assignee, group, and custom fields through MCP message serialization. The capability maps conversational incident reports to ilert's incident schema, handling field validation and optional parameter defaults.","intents":["I want to tell Claude about a production outage and have it automatically create an incident in ilert with the right severity and team assignment","I need to create incidents from Slack messages or email alerts using natural language without manual form filling","I want to ensure incident metadata (severity, group, assignee) is correctly inferred from conversational context"],"best_for":["Teams using Claude as a conversational incident intake system","On-call workflows where incident creation speed is critical","Organizations standardizing on ilert as the single source of truth for incident tracking"],"limitations":["Severity and priority inference relies on LLM interpretation of natural language — may misclassify ambiguous descriptions","Custom ilert fields not exposed in MCP schema require manual API calls outside the MCP interface","No validation of assignee or group existence before submission — invalid assignments fail at ilert API layer","Bulk incident creation not optimized — each incident requires separate MCP call"],"requires":["ilert API key with incident creation permissions","Valid ilert group/team IDs for assignment","MCP server running and connected to ilert API"],"input_types":["natural language incident description","optional structured metadata (severity, assignee, group)"],"output_types":["incident object with ID, status, creation timestamp","confirmation message with incident link"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ilert__cap_2","uri":"capability://tool.use.integration.incident.acknowledgment.and.escalation.via.conversation","name":"incident-acknowledgment-and-escalation-via-conversation","description":"Enables LLM agents to acknowledge, escalate, and reassign incidents through natural language commands translated to ilert API operations. The MCP server maps conversational actions (e.g., 'acknowledge this incident', 'escalate to on-call manager') to ilert state transitions and escalation policies.","intents":["I want Claude to acknowledge an incident I'm working on without switching to the ilert UI","I need to escalate an incident to the next on-call level based on natural language instructions","I want to reassign an incident to a different team member through conversation"],"best_for":["On-call engineers managing multiple incidents through a single conversational interface","AI agents automating incident triage and escalation based on severity or time-to-resolution thresholds","Teams reducing context switching by keeping incident management in chat"],"limitations":["Escalation policies are ilert-defined — MCP cannot create or modify escalation rules, only invoke them","No transaction support — partial failures (e.g., acknowledgment succeeds but reassignment fails) leave incidents in inconsistent state","Incident state transitions are not validated client-side — invalid transitions fail at ilert API layer with generic error messages","No audit trail of who initiated escalation through MCP vs ilert UI"],"requires":["ilert API key with incident update permissions","Incident ID or reference to identify target incident","Valid escalation policy configured in ilert"],"input_types":["natural language action request (acknowledge, escalate, reassign)","incident identifier (ID or reference)"],"output_types":["incident state update confirmation","escalation policy execution result","updated incident status and assignee"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ilert__cap_3","uri":"capability://search.retrieval.incident.query.and.retrieval.via.natural.language","name":"incident-query-and-retrieval-via-natural-language","description":"Allows LLM agents to query incident history, status, and details using natural language filters (e.g., 'show me all critical incidents from the past hour', 'get incidents assigned to me'). The MCP server translates conversational queries into ilert API search parameters and returns structured incident data.","intents":["I want to ask Claude for a summary of all open incidents without logging into ilert","I need to find incidents matching specific criteria (severity, team, time range) through conversation","I want to build an AI agent that can report on incident metrics and trends"],"best_for":["On-call engineers getting incident summaries during handoffs or status checks","Incident commanders building situational awareness through conversational queries","Automation workflows that need to conditionally act based on incident state"],"limitations":["Query expressiveness limited by MCP schema — complex filters (e.g., regex patterns, custom field matching) not supported","No pagination support documented — large result sets may be truncated or cause performance issues","Query latency depends on ilert API response time — no client-side caching or result memoization","Natural language query interpretation may be ambiguous (e.g., 'critical' could mean severity or business impact)"],"requires":["ilert API key with read permissions","Valid filter parameters (severity levels, team IDs, time ranges supported by ilert API)"],"input_types":["natural language query (e.g., 'show critical incidents')","optional structured filters (severity, assignee, group, time range)"],"output_types":["incident list with ID, title, severity, status, assignee","incident details including timeline and escalation history","summary statistics (count by severity, by team)"],"categories":["search-retrieval","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-ilert__cap_4","uri":"capability://tool.use.integration.mcp.protocol.binding.for.ilert.api","name":"mcp-protocol-binding-for-ilert-api","description":"Implements the Model Context Protocol (MCP) server specification to expose ilert incident management capabilities as standardized tools for LLM clients. The server handles MCP message serialization, request routing to ilert API endpoints, error handling, and response transformation back to MCP format.","intents":["I want to use ilert incident management from Claude Desktop without custom integrations","I need to build an MCP-compatible tool that other LLM applications can consume","I want to standardize on MCP for all my incident management integrations"],"best_for":["Organizations standardizing on MCP for LLM tool integration","Claude Desktop users wanting native ilert integration","Teams building multi-LLM applications that need consistent tool interfaces"],"limitations":["MCP protocol overhead adds ~50-200ms latency per request compared to direct REST API calls","Server must be running and accessible to LLM client — no serverless/stateless deployment model","Error messages from ilert API may not be user-friendly when wrapped in MCP protocol","No built-in authentication caching — each MCP call requires API key validation"],"requires":["MCP server implementation (Node.js or compatible runtime)","ilert API key stored as environment variable or secure config","MCP-compatible LLM client (Claude Desktop, or custom MCP client)","Network connectivity between MCP server and ilert API"],"input_types":["MCP tool call requests with JSON parameters"],"output_types":["MCP tool result responses with structured incident data","error responses with ilert API error details"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":27,"verified":false,"data_access_risk":"high","permissions":["ilert account with API access enabled","ilert API key (v1 or v2 depending on endpoint support)","MCP-compatible LLM client (Claude via Claude Desktop, or compatible server implementation)","Network connectivity to ilert API endpoints (api.ilert.com or regional variant)","ilert API key with incident creation permissions","Valid ilert group/team IDs for assignment","MCP server running and connected to ilert API","ilert API key with incident update permissions","Incident ID or reference to identify target incident","Valid escalation policy configured in ilert"],"failure_modes":["Requires active ilert subscription and valid API credentials; no free tier support documented","MCP protocol overhead adds latency compared to direct REST API calls — suitable for async incident workflows, not real-time alerting","Limited to ilert's API surface — cannot perform custom business logic or multi-system orchestration without additional tooling","No built-in rate limiting or batching — high-volume incident creation may hit ilert API throttles","Severity and priority inference relies on LLM interpretation of natural language — may misclassify ambiguous descriptions","Custom ilert fields not exposed in MCP schema require manual API calls outside the MCP interface","No validation of assignee or group existence before submission — invalid assignments fail at ilert API layer","Bulk incident creation not optimized — each incident requires separate MCP call","Escalation policies are ilert-defined — MCP cannot create or modify escalation rules, only invoke them","No transaction support — partial failures (e.g., acknowledgment succeeds but reassignment fails) leave incidents in inconsistent state","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.2,"ecosystem":0.3,"match_graph":0.25,"freshness":0.9,"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":"2026-05-24T12:16:20.441Z","last_scraped_at":"2026-05-03T14:00:15.503Z","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=ilert","compare_url":"https://unfragile.ai/compare?artifact=ilert"}},"signature":"W036surf+h4uM/vxwM/mAj67tjD2tlmIY+K8gGUoqVIXvOQ7VQuNJyxuZNbcDkIM1H4Yy4sTiBuuM7OYRm5MDQ==","signedAt":"2026-06-15T06:51:29.263Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ilert","artifact":"https://unfragile.ai/ilert","verify":"https://unfragile.ai/api/v1/verify?slug=ilert","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"}}