AnomalyArmor

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Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.

Que pouvez-vous faire avec AnomalyArmor ?

  • get_alerts_summary() - Alert counts by severity and status
  • list_alerts(status, severity, asset_id, from_date, to_date) - Query alerts with filters
  • list_inbox_alerts(status, limit) - Unresolved alerts inbox
  • update_alert(alert_id, action, ...) - Acknowledge, resolve, snooze, or comment on alerts
  • get_alert_trends(period) - Alert trends over time
  • get_alert_history(alert_id) - Full history for a specific alert

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code
claude mcp add --transport http anomalyarmor 'https://mcp.anomalyarmor.ai/mcp'
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "anomalyarmor": {
            "type": "http",
            "url": "https://mcp.anomalyarmor.ai/mcp"
        }
    }
}
PYPI package armor-mcp
Claude Code
claude mcp add anomalyarmor -e 'ARMOR_API_KEY=<your armor_api_key>' -- uvx armor-mcp==0.6.1
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "anomalyarmor": {
            "command": "uvx",
            "args": [
                "armor-mcp==0.6.1"
            ],
            "env": {
                "ARMOR_API_KEY": "<your armor_api_key>"
            }
        }
    }
}

Variables d'environnement

  • ARMOR_API_KEY obligatoire secret AnomalyArmor API key (aa_live_*). Generate at https://app.anomalyarmor.ai/settings/api-keys.

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. AnomalyArmor Agents
  2. Quick Start
  3. Prerequisites
  4. Available Skills
  5. MCP Tools (29 consolidated)
  6. Examples
  7. Troubleshooting
  8. Development
  9. Support
  10. License

AnomalyArmor Agents

AI skills and MCP server for AnomalyArmor data observability. Monitor data quality, detect schema drift, and manage alerts directly from Claude Code, Cursor, or any MCP-compatible AI tool.

Version: 0.6.0 | Tools: 52 consolidated MCP tools | Skills: 14 slash commands

Quick Start

# Install the plugin
claude plugin marketplace add anomalyarmor/agents
claude plugin install armor@anomalyarmor

# Or via skills.sh
npx skills add anomalyarmor/agents

Then use skills like:

  • /armor:status - Check data health
  • /armor:alerts - View and manage alerts
  • /armor:recommend - Get AI monitoring recommendations
  • /armor:ask - Ask questions about your data
Option 2: MCP Server

Add to your MCP configuration (Claude Code, Cursor, etc.):

{
  "mcpServers": {
    "armor": {
      "command": "uvx",
      "args": ["armor-mcp"]
    }
  }
}

Prerequisites

  1. AnomalyArmor Account: Sign up at anomalyarmor.ai
  2. API Key: Generate at Settings > API Keys
  3. Configure: Set ARMOR_API_KEY env var or create ~/.armor/config.yaml:
api_key: aa_live_your_key_here

Available Skills

SkillDescriptionExample
/armor:startGuided onboarding for new users"Help me get set up"
/armor:statusHealth summary across all assets"Is my data healthy?"
/armor:connectConnect a new data source"Connect my Snowflake warehouse"
/armor:monitorSet up freshness and schema monitoring"Monitor freshness for orders table"
/armor:alertsQuery and manage alerts"What alerts fired yesterday?"
/armor:askNatural language Q&A about your data"What tables contain customer data?"
/armor:analyzeTrigger AI analysis"Analyze the finance schema"
/armor:qualityData quality metrics and validity rules"Add null check for customer_id"
/armor:coverageMonitoring coverage analysis"What tables have no monitoring?"
/armor:recommendAI-driven monitoring recommendations"What should I monitor?"
/armor:tagsAsset tagging and classification"Tag this table as PII"
/armor:investigateRoot cause analysis"Why is this table stale?"
/armor:lineageData lineage exploration"What depends on this table?"
/armor:profileTable profiling and stats"Profile the orders table"

MCP Tools (29 consolidated)

Tools follow a consolidated pattern: one tool per domain handles multiple operations via an action parameter, reducing context window usage while maintaining full functionality.

Health and Briefing
  • health_summary() - Overall data health across all assets
  • get_todays_briefing() - Daily AI briefing with alerts, freshness, and coverage gaps
Alerts (5 tools)
  • get_alerts_summary() - Alert counts by severity and status
  • list_alerts(status, severity, asset_id, from_date, to_date) - Query alerts with filters
  • list_inbox_alerts(status, limit) - Unresolved alerts inbox
  • update_alert(alert_id, action, ...) - Acknowledge, resolve, snooze, or comment on alerts
  • get_alert_trends(period) - Alert trends over time
  • get_alert_history(alert_id) - Full history for a specific alert
Alert Rules (3 tools)
  • list_alert_rules(asset_id, is_active) - List configured rules
  • create_alert_rule(asset_id, rule_type, ...) - Create new alert rule
  • manage_alert_rule(rule_id, action, ...) - Update, delete, enable/disable, or duplicate rules
Assets (3 tools)
  • list_assets(source, asset_type, search) - List monitored assets
  • create_asset(name, source_type, connection_config) - Create data source
  • manage_asset(asset_id, action, ...) - Update, delete, test connection, or trigger discovery
  • trigger_asset_discovery(asset_id) - Start schema discovery
Freshness (4 tools)
  • get_freshness_summary() - Freshness overview across all assets
  • check_freshness(asset_id, table_path) - Check specific table freshness
  • setup_freshness(asset_id, table_path, check_interval, ...) - Create freshness schedule
  • list_freshness_schedules(asset_id) - List configured schedules
  • manage_freshness_schedule(schedule_id, action, ...) - Update, delete, pause/resume schedules
Schema Drift (5 tools)
  • get_schema_summary() - Schema drift overview
  • list_schema_changes(asset_id, severity, from_date, to_date) - List detected changes
  • create_schema_baseline(asset_id, description) - Create baseline
  • enable_schema_monitoring(asset_id, schedule_type, notify_on) - Enable monitoring
  • disable_schema_monitoring(asset_id) - Disable monitoring
  • get_schema_monitoring(asset_id) - View current monitoring config
  • dry_run_schema(asset_id, schedule_type) - Test schema monitoring before enabling
Data Quality (4 tools)
  • get_metrics_summary(asset_id) / list_metrics(asset_id) - View metrics
  • create_metric(asset_id, metric_type, table_path, ...) - Create row count, null rate, or custom metric
  • manage_metric(metric_id, action, ...) - Update, delete, capture, or view snapshots
  • get_validity_summary(asset_id) / list_validity_rules(asset_id) - View validity rules
  • create_validity_rule(asset_id, rule_type, table_path, ...) - Create validity rule
  • manage_validity_rule(rule_id, action, ...) - Update, delete, check, or view results
Referential Integrity (2 tools)
  • create_referential_check(asset_id, ...) - Create cross-table referential check
  • manage_referential(check_id, action, ...) - List, delete, run, or view results
Destinations (4 tools)
  • list_destinations(destination_type) - List alert destinations (Slack, email, webhook)
  • setup_destination(destination_type, ...) - Create Slack channel, email, or webhook destination
  • manage_destination(destination_id, action, ...) - Update, delete, test, enable/disable
  • manage_rule_destinations(rule_id, action, ...) - Link/unlink destinations to alert rules
Coverage and Recommendations (3 tools)
  • get_coverage(asset_id) - Coverage tier and score for an asset
  • manage_coverage(asset_id, action) - Get next steps or apply recommended monitoring
  • recommend(asset_id, recommendation_type) - AI recommendations for freshness, metrics, coverage, or thresholds
Intelligence (2 tools)
  • ask_question(asset, question) - Natural language Q&A
  • generate_intelligence(asset) - Trigger AI knowledge base generation
Catalog (4 tools)
  • get_lineage(asset_id, depth, direction) - Data lineage graph
  • job_status(job_id) - Check async job status
  • create_tag(asset_id, name, object_path, ...) - Create and assign tags
  • list_tags(asset_id) / apply_tags(asset_id, ...) - List and apply tags
API Keys
  • get_api_key_info() - View current API key details and permissions

Examples

Check Data Health
User: Is my data healthy?

Your data health status:
- Overall: WARNING
- 3 unresolved alerts (1 critical, 2 warning)
- 2 stale tables (orders, customers)
- 1 unacknowledged schema change
- Coverage: 65% (Tier 2: Protected)
Get AI Recommendations
User: What should I monitor on my Snowflake warehouse?

Based on your table patterns and update frequency:
1. orders (high traffic) - Add freshness check (hourly), row count metric
2. customers (PII) - Enable schema drift monitoring, add null checks
3. payments (financial) - Add freshness + row count + validity rules

Want me to set these up? I can configure all three in one go.
Daily Briefing
User: What happened overnight?

Your daily briefing:
- 2 new alerts: orders table stale (6h), schema change in users
- Coverage improved: finance schema now at Tier 3 (Verified)
- Recommendation: 4 tables still have no monitoring. Run /armor:recommend.
Root Cause Analysis
User: Why is the orders table stale?

Investigation results:
- Last update: 6 hours ago (expected: hourly)
- Upstream dependency: raw_orders was last updated 8 hours ago
- Likely cause: upstream ETL job failed or delayed
- Impact: 3 downstream dashboards affected

Troubleshooting

Authentication Failed
Error: No API key configured

Solution: Set ARMOR_API_KEY environment variable or create ~/.armor/config.yaml

MCP Server Not Found
Error: MCP server 'armor' not found

Solution:

  1. Restart your AI tool after config changes
  2. Verify uvx is installed: uvx --version
  3. Check MCP config syntax
Skills Not Loading

Solution:

  1. Verify plugin installed: claude plugin list
  2. Check skills directory exists
  3. Restart Claude Code

Development

See AGENTS.md for development guidelines.

Support

License

MIT License - see LICENSE

Questions fréquentes

Qu'est-ce que AnomalyArmor ?

Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.

Comment installer AnomalyArmor ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http anomalyarmor 'https://mcp.anomalyarmor.ai/mcp'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour AnomalyArmor ?

Oui. Il attend ARMOR_API_KEY, à renseigner dans sa configuration.

AnomalyArmor est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient AnomalyArmor ?

Il est publié par anomalyarmor. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.