{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"npm-sentry-mcp-server","slug":"sentry-mcp-server","name":"@sentry/mcp-server","type":"mcp","url":"https://github.com/getsentry/sentry-mcp","page_url":"https://unfragile.ai/sentry-mcp-server","categories":["mcp-servers"],"tags":["sentry","mcp","model-context-protocol"],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"npm-sentry-mcp-server__cap_0","uri":"capability://tool.use.integration.sentry.error.event.retrieval.and.filtering.via.mcp","name":"sentry error event retrieval and filtering via mcp","description":"Exposes Sentry's error event API through the Model Context Protocol, allowing LLM agents to query and filter error events by project, environment, release, and time range. Implements MCP resource and tool patterns to translate natural language queries into Sentry API calls, returning structured event data with stack traces, breadcrumbs, and user context for analysis and debugging.","intents":["Query recent errors in a production environment to understand failure patterns","Retrieve specific error events matching criteria like release version or user ID","Fetch error context including stack traces and breadcrumbs for root cause analysis","Integrate error data into LLM-driven debugging workflows without manual API calls"],"best_for":["DevOps engineers building AI-assisted incident response systems","Development teams automating error triage and analysis workflows","LLM agent builders needing real-time error context from production systems"],"limitations":["Requires valid Sentry authentication token with appropriate project permissions","Query latency depends on Sentry API response times and event volume","Limited to events available in Sentry's retention window (varies by plan)","No built-in caching — repeated queries hit Sentry API directly"],"requires":["Sentry account with API token (DSN or auth token)","MCP client implementation (Claude Desktop, Cline, or custom)","Network access to Sentry API endpoints","Node.js 16+ for running the MCP server"],"input_types":["natural language queries","structured filter parameters (project ID, environment, time range)","event IDs or error fingerprints"],"output_types":["JSON event objects with stack traces","structured error metadata","breadcrumb logs and user context"],"categories":["tool-use-integration","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-sentry-mcp-server__cap_1","uri":"capability://tool.use.integration.sentry.issue.lifecycle.management.via.mcp.tools","name":"sentry issue lifecycle management via mcp tools","description":"Exposes Sentry issue operations (resolve, ignore, assign, update status) as MCP tools callable by LLM agents. Translates agent actions into Sentry API mutations, enabling automated issue triage, assignment, and status updates based on error analysis. Implements idempotent operations with proper error handling for concurrent modifications.","intents":["Automatically resolve issues after confirming a fix has been deployed","Assign errors to team members based on error type or affected service","Ignore known false-positive errors to reduce noise in error tracking","Update issue status and priority based on LLM analysis of error severity"],"best_for":["Automated incident response systems that need to close issues programmatically","AI-powered triage workflows that assign errors to on-call engineers","Teams using LLM agents to manage error backlogs at scale"],"limitations":["Requires write permissions on Sentry projects — token must have appropriate scopes","No transaction support — multiple operations are not atomic","Rate limiting applies per Sentry API tier; high-volume automation may hit limits","Changes are immediately visible in Sentry UI; no staging or preview mode"],"requires":["Sentry API token with write permissions (organization or project level)","MCP client with tool execution capability","Valid project and issue IDs from Sentry"],"input_types":["issue ID","action type (resolve, ignore, assign)","optional parameters (assignee, status, comment)"],"output_types":["confirmation of action success/failure","updated issue state","error details if operation fails"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-sentry-mcp-server__cap_2","uri":"capability://memory.knowledge.sentry.project.and.organization.context.provisioning","name":"sentry project and organization context provisioning","description":"Provides MCP resources that expose Sentry project metadata, team structure, and organization configuration to LLM agents. Implements resource listing and hierarchical navigation (organization → projects → teams) to give agents awareness of available projects, their settings, and team ownership. Caches metadata to reduce API calls during multi-step workflows.","intents":["Discover available Sentry projects and their configurations within an organization","Identify which team owns a specific project for proper issue assignment","Understand project settings (error thresholds, alert rules) before analyzing errors","Navigate organization structure to scope queries to relevant projects"],"best_for":["Multi-project organizations needing context-aware error analysis","Teams automating cross-project error correlation and analysis","LLM agents that need to understand project ownership and team structure"],"limitations":["Metadata is point-in-time; changes to project settings are not reflected until refresh","Large organizations with hundreds of projects may experience slower metadata loading","No real-time notifications of project configuration changes","Requires read access to organization settings, not just individual projects"],"requires":["Sentry API token with organization-level read permissions","MCP client supporting resource listing","Network connectivity to Sentry API"],"input_types":["organization ID","optional project filters or search terms"],"output_types":["JSON list of projects with metadata","team assignments and ownership info","project configuration details"],"categories":["memory-knowledge","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-sentry-mcp-server__cap_3","uri":"capability://text.generation.language.natural.language.to.sentry.query.translation","name":"natural language to sentry query translation","description":"Translates natural language queries from LLM agents into Sentry's filter syntax and API parameters. Implements semantic understanding of error attributes (environment, release, user, error type) and maps them to Sentry's query language. Handles ambiguous queries by providing clarification options or reasonable defaults.","intents":["Ask for 'errors in production from the last hour' without knowing Sentry's filter syntax","Query 'JavaScript errors affecting premium users' by mapping user segments to Sentry attributes","Find 'errors introduced in version 2.5.0' by translating version to release filter","Retrieve 'errors from the checkout service' by mapping service names to project or tag filters"],"best_for":["Non-technical stakeholders querying error data through LLM agents","Developers who want to ask questions about errors in natural language","Automated workflows that need to interpret user intent and translate to Sentry queries"],"limitations":["Ambiguous queries may return unexpected results if natural language intent is unclear","Complex boolean logic (AND/OR combinations) may not translate perfectly from natural language","Domain-specific terminology (service names, custom tags) requires training or configuration","No learning from past queries — each query is translated independently"],"requires":["MCP client with LLM capabilities for semantic understanding","Knowledge of Sentry's filter syntax and available attributes","Optional: custom mapping configuration for domain-specific terms"],"input_types":["natural language query strings"],"output_types":["Sentry filter syntax","structured API parameters","clarification prompts if ambiguous"],"categories":["text-generation-language","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-sentry-mcp-server__cap_4","uri":"capability://data.processing.analysis.error.pattern.detection.and.correlation.across.projects","name":"error pattern detection and correlation across projects","description":"Analyzes error events from multiple Sentry projects to identify common patterns, root causes, and correlated failures. Implements statistical analysis of error fingerprints, stack traces, and metadata to group related errors and detect systemic issues. Provides insights into error trends and impact across the organization.","intents":["Identify if an error in one service is caused by a shared dependency failure","Detect error spikes that correlate with deployments or infrastructure changes","Find similar errors across projects that may indicate a platform-wide issue","Analyze error trends to prioritize fixes based on impact and frequency"],"best_for":["Organizations with multiple services/projects needing holistic error visibility","Platform teams investigating cross-service failures","DevOps teams building intelligent incident response systems"],"limitations":["Correlation analysis requires sufficient error volume; sparse errors may not show patterns","Cross-project queries are slower than single-project queries due to aggregation overhead","Pattern detection relies on fingerprinting accuracy; similar errors with different fingerprints may be missed","No machine learning — uses statistical heuristics that may not capture complex patterns"],"requires":["Multiple Sentry projects with sufficient error volume","API token with read access to all relevant projects","Computational resources for aggregation and analysis"],"input_types":["time range for analysis","optional project filters or error type filters"],"output_types":["correlated error groups","trend analysis and statistics","root cause hypotheses","impact metrics"],"categories":["data-processing-analysis","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-sentry-mcp-server__cap_5","uri":"capability://data.processing.analysis.release.and.deployment.context.integration","name":"release and deployment context integration","description":"Integrates Sentry release data with deployment information to correlate errors with specific code changes and deployments. Implements release-aware error filtering and analysis, allowing agents to understand which errors were introduced in which release and which deployments are affected. Supports linking errors to commits and pull requests.","intents":["Find all errors introduced in a specific release or deployment","Determine if a recent deployment caused an error spike","Identify which commits are responsible for new errors","Correlate error resolution with deployment of fixes"],"best_for":["Teams using Sentry's release tracking and deployment integration","CI/CD pipelines that need to validate deployments for error regressions","Automated rollback systems that need error data to decide whether to revert"],"limitations":["Requires Sentry release tracking to be properly configured and populated","Commit linking requires integration with source control (GitHub, GitLab, etc.)","Release data is only as accurate as the deployment pipeline's reporting","Historical release data may be incomplete if tracking was not enabled from the start"],"requires":["Sentry release tracking configured in the application","Deployment information sent to Sentry (via API or SDK)","Optional: source control integration for commit linking"],"input_types":["release version or deployment ID","time range around deployment"],"output_types":["errors associated with release","error trends before/after deployment","commit and PR information","deployment impact metrics"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-sentry-mcp-server__cap_6","uri":"capability://data.processing.analysis.performance.monitoring.and.transaction.analysis","name":"performance monitoring and transaction analysis","description":"Exposes Sentry's performance monitoring data (transactions, spans, latency metrics) through MCP tools, allowing agents to analyze application performance alongside error data. Implements transaction filtering, span analysis, and performance trend detection. Correlates performance degradation with errors to identify performance-related root causes.","intents":["Analyze transaction latency to understand if errors are related to performance issues","Identify slow database queries or external API calls contributing to errors","Detect performance regressions introduced in recent deployments","Correlate error spikes with transaction latency increases"],"best_for":["Teams using Sentry's performance monitoring alongside error tracking","Full-stack debugging workflows that need both error and performance context","Performance optimization efforts that need to prioritize based on impact"],"limitations":["Requires Sentry Performance Monitoring to be enabled and configured","Transaction data volume can be large; sampling may be necessary for high-traffic applications","Span-level analysis requires detailed instrumentation; missing spans limit analysis depth","Performance data retention may be shorter than error data depending on plan"],"requires":["Sentry Performance Monitoring enabled in application","SDK with transaction and span instrumentation","API token with performance data read access"],"input_types":["transaction name or filter","time range for analysis","optional span type filters"],"output_types":["transaction latency metrics","span analysis and slowest operations","performance trend data","correlation with errors"],"categories":["data-processing-analysis","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-sentry-mcp-server__cap_7","uri":"capability://data.processing.analysis.user.impact.and.session.replay.context","name":"user impact and session replay context","description":"Exposes Sentry's user impact data and session replay information through MCP, allowing agents to understand which users are affected by errors and access session context for debugging. Implements user filtering, session correlation, and impact metrics. Provides links to session replays for visual debugging.","intents":["Determine how many users are affected by a specific error","Identify which user segments (premium, beta, etc.) are experiencing errors","Access session replay data to understand user actions leading to an error","Prioritize error fixes based on user impact and business value"],"best_for":["Customer-facing applications where user impact is critical","Teams using Sentry Session Replay for debugging","Product teams that need to prioritize fixes based on user impact"],"limitations":["Requires Sentry Session Replay to be enabled (may have privacy/compliance implications)","Session replay data is subject to retention policies and may not be available for old errors","User identification requires proper SDK configuration; anonymous users may not be tracked","Session replay access may be restricted by privacy settings or data residency requirements"],"requires":["Sentry Session Replay enabled in application","SDK with session tracking and user identification","API token with session data read access"],"input_types":["error ID or user ID","time range for session lookup"],"output_types":["user impact metrics","affected user list","session replay links","user context and attributes"],"categories":["data-processing-analysis","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-sentry-mcp-server__cap_8","uri":"capability://automation.workflow.alert.rule.configuration.and.notification.management","name":"alert rule configuration and notification management","description":"Exposes Sentry's alert rules and notification settings through MCP, allowing agents to configure alerts, manage notification channels, and adjust alerting thresholds. Implements alert rule creation, modification, and testing. Supports multiple notification channels (email, Slack, PagerDuty, webhooks).","intents":["Create alert rules for new error types or services","Adjust alert thresholds based on error trends and false positive rates","Configure notifications to route errors to appropriate teams","Test alert rules to ensure they trigger correctly"],"best_for":["Teams automating alert configuration based on error patterns","DevOps engineers managing alerting at scale across multiple projects","Incident response systems that need to adjust alerting dynamically"],"limitations":["Requires write permissions on alert rules; token must have appropriate scopes","Alert rule complexity is limited by Sentry's UI and API capabilities","Testing alert rules may trigger actual notifications; requires careful handling","Notification channel configuration requires pre-existing integrations (Slack, PagerDuty, etc.)"],"requires":["Sentry API token with alert rule write permissions","Pre-configured notification channels in Sentry","Understanding of alert rule syntax and conditions"],"input_types":["alert rule configuration (conditions, actions, channels)","optional test parameters"],"output_types":["created/updated alert rule details","alert rule test results","confirmation of notification channel configuration"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-sentry-mcp-server__cap_9","uri":"capability://tool.use.integration.integration.with.external.incident.management.systems","name":"integration with external incident management systems","description":"Integrates Sentry error data with external incident management platforms (PagerDuty, Opsgenie, etc.) through MCP, enabling agents to create incidents, update severity, and manage escalations based on error analysis. Implements bidirectional sync of incident status and error resolution.","intents":["Automatically create incidents in PagerDuty when critical errors occur","Update incident severity based on error impact and user count","Escalate incidents to on-call engineers based on error analysis","Close incidents when errors are resolved"],"best_for":["Teams using PagerDuty or similar incident management platforms","Organizations with formal incident response processes","Automated incident response systems that need to manage escalations"],"limitations":["Requires integration configuration in both Sentry and incident management platform","Incident creation may trigger notifications and escalations; requires careful handling","Bidirectional sync requires polling or webhooks; real-time sync may have latency","Incident management platform API rate limits may throttle high-volume automation"],"requires":["Sentry integration with incident management platform configured","API credentials for incident management platform","Proper incident severity and escalation policies defined"],"input_types":["error data and impact metrics","incident severity and priority","optional escalation rules"],"output_types":["created incident ID and details","incident status updates","escalation confirmations"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":56,"verified":false,"data_access_risk":"high","permissions":["Sentry account with API token (DSN or auth token)","MCP client implementation (Claude Desktop, Cline, or custom)","Network access to Sentry API endpoints","Node.js 16+ for running the MCP server","Sentry API token with write permissions (organization or project level)","MCP client with tool execution capability","Valid project and issue IDs from Sentry","Sentry API token with organization-level read permissions","MCP client supporting resource listing","Network connectivity to Sentry API"],"failure_modes":["Requires valid Sentry authentication token with appropriate project permissions","Query latency depends on Sentry API response times and event volume","Limited to events available in Sentry's retention window (varies by plan)","No built-in caching — repeated queries hit Sentry API directly","Requires write permissions on Sentry projects — token must have appropriate scopes","No transaction support — multiple operations are not atomic","Rate limiting applies per Sentry API tier; high-volume automation may hit limits","Changes are immediately visible in Sentry UI; no staging or preview mode","Metadata is point-in-time; changes to project settings are not reflected until refresh","Large organizations with hundreds of projects may experience slower metadata loading","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.6077033681634859,"quality":0.3,"ecosystem":0.48999999999999994,"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":"2026-05-24T12:16:23.902Z","last_scraped_at":"2026-05-03T14:04:47.471Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":54637,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=sentry-mcp-server","compare_url":"https://unfragile.ai/compare?artifact=sentry-mcp-server"}},"signature":"N1Yy8mK08Le1KaXciNS2xaD2kCXub2KSBmK4D6KyBE4ArCoum18JklNmF2S/7eZWs597dJCwOxafZZnbld6XAQ==","signedAt":"2026-06-22T08:40:53.440Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/sentry-mcp-server","artifact":"https://unfragile.ai/sentry-mcp-server","verify":"https://unfragile.ai/api/v1/verify?slug=sentry-mcp-server","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"}}