{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-alertmanager","slug":"alertmanager","name":"Alertmanager","type":"mcp","url":"https://github.com/ntk148v/alertmanager-mcp-server","page_url":"https://unfragile.ai/alertmanager","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-alertmanager__cap_0","uri":"capability://tool.use.integration.alertmanager.alert.query.and.retrieval.via.mcp","name":"alertmanager alert query and retrieval via mcp","description":"Exposes Prometheus Alertmanager's REST API endpoints through the Model Context Protocol, allowing AI assistants to query active alerts, silences, and alert groups without direct HTTP calls. Implements MCP resource and tool handlers that translate natural language requests into Alertmanager API calls, parsing JSON responses and returning structured alert data with metadata (labels, annotations, state, firing time).","intents":["Query active alerts from Alertmanager to understand current system state","Retrieve alert details including labels, annotations, and firing duration for incident analysis","List all alert groups and their aggregation status to assess alert clustering","Check silence rules to understand suppressed alerts and their expiration times"],"best_for":["DevOps teams building AI-powered incident response assistants","SREs integrating Alertmanager with LLM-based on-call automation","Platform engineers adding natural language alert querying to monitoring dashboards"],"limitations":["Read-only access to alerts — cannot modify alert state or create silences through this capability alone","Requires network connectivity to Alertmanager instance; no local caching of alert history","Latency depends on Alertmanager API response time; no pagination support for large alert sets","No filtering by custom time ranges — returns current state only, not historical alert data"],"requires":["Prometheus Alertmanager instance running and accessible via HTTP/HTTPS","Alertmanager API endpoint URL (typically http://alertmanager:9093)","MCP client compatible with tool and resource protocols","Network connectivity between MCP server and Alertmanager"],"input_types":["natural language queries (e.g., 'show me all firing alerts')","structured filter parameters (alert names, label matchers)","silence query parameters (active, expired, pending)"],"output_types":["structured JSON alert objects with labels, annotations, state","alert group aggregations with counts and status","silence rule metadata with matchers and expiration times"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alertmanager__cap_1","uri":"capability://tool.use.integration.alertmanager.silence.creation.and.management.via.mcp","name":"alertmanager silence creation and management via mcp","description":"Enables AI assistants to create, update, and expire silence rules in Alertmanager through MCP tool handlers that construct POST/DELETE requests to the Alertmanager silences API. Translates high-level silence intents (e.g., 'silence this alert for 2 hours') into properly formatted silence objects with matchers, duration, and creator metadata, then applies them to suppress matching alerts.","intents":["Suppress known false-positive alerts during maintenance windows without modifying alert rules","Temporarily silence alerts while investigating root causes to reduce noise","Create silence rules matching specific label patterns to suppress alert groups","Expire or delete existing silences to re-enable alerting after maintenance"],"best_for":["Incident response teams automating alert suppression during known issues","On-call engineers building self-service silence workflows in chat interfaces","Platform teams implementing AI-driven alert management with human approval gates"],"limitations":["Requires write permissions to Alertmanager API; no built-in authorization or approval workflow","Silence duration must be specified upfront; no dynamic extension without re-creating the silence","No audit trail of who/what created silences unless Alertmanager is configured with external logging","Matchers use Alertmanager's label matching syntax; complex regex patterns may be error-prone"],"requires":["Alertmanager instance with write API enabled (default configuration)","Appropriate network permissions to POST/DELETE to Alertmanager API","Understanding of Alertmanager label matching syntax for matcher construction","MCP server with credentials or network access to Alertmanager"],"input_types":["natural language silence requests (e.g., 'silence DiskFull alert for 1 hour')","structured silence parameters (matchers, duration, comment)","alert objects to derive silence matchers from"],"output_types":["silence rule ID and confirmation","silence metadata (matchers, duration, creator, expiration time)","success/failure status with error details"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alertmanager__cap_2","uri":"capability://tool.use.integration.alertmanager.status.and.configuration.inspection","name":"alertmanager status and configuration inspection","description":"Provides MCP tools to query Alertmanager's operational status, configuration, and metadata without modifying state. Retrieves information about configured receivers, routing rules, inhibition rules, and global settings by calling Alertmanager's status and config endpoints, returning structured data for analysis and debugging.","intents":["Understand current Alertmanager configuration to diagnose routing or notification issues","Verify receiver configurations and notification channels are correctly set up","Inspect routing rules to understand how alerts are grouped and routed","Check inhibition rules to see which alerts suppress others"],"best_for":["Debugging teams troubleshooting alert routing or notification delivery","Configuration auditors verifying Alertmanager setup compliance","AI assistants providing context-aware recommendations for alert configuration changes"],"limitations":["Read-only access; cannot modify configuration through this capability","Configuration changes require Alertmanager reload; no real-time config hot-swapping","Status endpoint may not reflect recent API changes until Alertmanager processes them","No historical configuration versioning — only current state is accessible"],"requires":["Alertmanager instance with status API endpoint accessible","Read permissions to Alertmanager API (typically unrestricted by default)","Network connectivity to Alertmanager"],"input_types":["status query requests (no parameters required)","configuration inspection requests"],"output_types":["JSON configuration object with receivers, routes, inhibitions","status metadata (uptime, version, build info)","routing tree structure with matchers and receiver assignments"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alertmanager__cap_3","uri":"capability://tool.use.integration.mcp.protocol.translation.and.request.routing","name":"mcp protocol translation and request routing","description":"Implements the Model Context Protocol server framework that translates incoming MCP requests (tools, resources, prompts) into Alertmanager API calls and responses. Handles MCP message serialization/deserialization, tool schema definition, error handling, and response formatting to ensure AI assistants can interact with Alertmanager through a standardized protocol interface.","intents":["Enable any MCP-compatible AI assistant to query and manage Alertmanager without custom integrations","Standardize Alertmanager interactions across different LLM frameworks and agents","Provide schema-driven tool definitions so assistants understand available operations and parameters","Handle protocol-level concerns (authentication, error codes, timeouts) transparently"],"best_for":["Teams deploying Alertmanager with multiple AI assistant platforms (Claude, others)","Framework developers building agent systems that need standardized monitoring integrations","Organizations standardizing on MCP for all tool integrations"],"limitations":["MCP protocol overhead adds ~50-100ms latency per request compared to direct API calls","Requires MCP client support; not compatible with non-MCP AI assistants or frameworks","Error handling depends on MCP client's error recovery; some failures may not propagate clearly","No built-in request batching — each MCP call translates to one Alertmanager API call"],"requires":["MCP-compatible AI assistant or client (e.g., Claude with MCP support)","Python 3.9+ (typical for MCP server implementations)","MCP SDK or framework for server implementation","Network connectivity between MCP client and server"],"input_types":["MCP tool call requests with parameters","MCP resource read requests","MCP prompt requests"],"output_types":["MCP tool results with structured data","MCP resource content","MCP error responses with error codes"],"categories":["tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alertmanager__cap_4","uri":"capability://planning.reasoning.alert.to.silence.matcher.inference","name":"alert-to-silence matcher inference","description":"Provides intelligent matching logic to derive silence matchers from alert objects, allowing AI assistants to create silences that target specific alerts without manually constructing label matchers. Analyzes alert labels and annotations to suggest appropriate matchers that will suppress the alert while minimizing false suppression of unrelated alerts.","intents":["Create a silence for a specific alert by automatically extracting relevant label matchers","Suppress an alert group without manually writing matcher expressions","Suggest silence scope (broad vs. narrow) based on alert characteristics"],"best_for":["Non-expert users creating silences through conversational interfaces","Incident response workflows that need to quickly suppress alerts without matcher syntax knowledge","AI assistants that need to reason about alert similarity and suppression scope"],"limitations":["Matcher inference is heuristic-based; may over-suppress or under-suppress depending on label cardinality","Requires alert objects with complete label sets; sparse labels may produce overly broad matchers","No learning from past silence effectiveness; same heuristics applied regardless of outcomes","Cannot infer matchers for alerts with dynamic labels (e.g., pod names, request IDs)"],"requires":["Alert object with labels and annotations","Understanding of which labels are stable vs. dynamic in the environment"],"input_types":["alert objects with labels and annotations","silence scope hints (e.g., 'silence this alert only' vs. 'silence all similar alerts')"],"output_types":["suggested matcher expressions","matcher scope assessment (how many alerts would be suppressed)","alternative matcher suggestions"],"categories":["planning-reasoning","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-alertmanager__cap_5","uri":"capability://tool.use.integration.alertmanager.api.error.handling.and.retry.logic","name":"alertmanager api error handling and retry logic","description":"Implements resilient HTTP client behavior for Alertmanager API calls, including exponential backoff retry logic, timeout handling, and structured error translation. Converts Alertmanager API errors into MCP-compatible error responses with actionable messages, allowing AI assistants to understand and potentially recover from transient failures.","intents":["Automatically retry failed Alertmanager API calls due to transient network issues","Provide clear error messages when Alertmanager is unreachable or misconfigured","Handle rate limiting or overload conditions gracefully without overwhelming the API","Distinguish between recoverable errors (retry) and permanent failures (abort)"],"best_for":["Production deployments where Alertmanager availability is critical","Environments with unreliable network connectivity between MCP server and Alertmanager","Teams needing robust error handling in automated incident response workflows"],"limitations":["Retry logic adds latency (exponential backoff can delay responses by seconds)","No circuit breaker pattern — will continue retrying even if Alertmanager is persistently down","Timeout values are fixed; no adaptive tuning based on observed latency","Retries consume resources; high-frequency failures can exhaust connection pools"],"requires":["HTTP client library with retry support (e.g., requests with retries, httpx)","Alertmanager API endpoint configuration with timeout values","Understanding of acceptable retry latency for the use case"],"input_types":["HTTP requests to Alertmanager API","error responses from Alertmanager"],"output_types":["successful API responses after retry","structured error objects with error codes and messages","retry metadata (attempt count, backoff duration)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":28,"verified":false,"data_access_risk":"high","permissions":["Prometheus Alertmanager instance running and accessible via HTTP/HTTPS","Alertmanager API endpoint URL (typically http://alertmanager:9093)","MCP client compatible with tool and resource protocols","Network connectivity between MCP server and Alertmanager","Alertmanager instance with write API enabled (default configuration)","Appropriate network permissions to POST/DELETE to Alertmanager API","Understanding of Alertmanager label matching syntax for matcher construction","MCP server with credentials or network access to Alertmanager","Alertmanager instance with status API endpoint accessible","Read permissions to Alertmanager API (typically unrestricted by default)"],"failure_modes":["Read-only access to alerts — cannot modify alert state or create silences through this capability alone","Requires network connectivity to Alertmanager instance; no local caching of alert history","Latency depends on Alertmanager API response time; no pagination support for large alert sets","No filtering by custom time ranges — returns current state only, not historical alert data","Requires write permissions to Alertmanager API; no built-in authorization or approval workflow","Silence duration must be specified upfront; no dynamic extension without re-creating the silence","No audit trail of who/what created silences unless Alertmanager is configured with external logging","Matchers use Alertmanager's label matching syntax; complex regex patterns may be error-prone","Read-only access; cannot modify configuration through this capability","Configuration changes require Alertmanager reload; no real-time config hot-swapping","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.37,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"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":"2026-06-17T09:51:02.370Z","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=alertmanager","compare_url":"https://unfragile.ai/compare?artifact=alertmanager"}},"signature":"DWdOmrppsdhYUa6F1V3RtdwnsIBL0yAe4m34wHxHQijfDTUZ/4ECAN5sGfr0WDQPU0pYqkrfD9eiR/2rH7iiAw==","signedAt":"2026-06-23T01:06:41.037Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/alertmanager","artifact":"https://unfragile.ai/alertmanager","verify":"https://unfragile.ai/api/v1/verify?slug=alertmanager","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"}}