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

About

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

Remote endpoints: streamable-http: https://mcp.anomalyarmor.ai/mcp

Security Report

4.8
Use Caution4.8High Risk

AnomalyArmor MCP server is a well-structured data observability tool with proper authentication and secure credential handling. The codebase demonstrates good security practices: API keys are loaded from environment variables, sensitive data is filtered from rendered UIs, and input validation is present. Minor code quality concerns around broad exception handling and incomplete docstrings do not significantly impact overall security posture. Supply chain analysis found 3 known vulnerabilities in dependencies (1 critical, 1 high severity). Package verification found 1 issue.

5 files analyzed · 8 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

env_vars

Check that this permission is expected for this type of plugin.

HTTP Network Access

Connects to external APIs or services over the internet.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

What You'll Need

Set these up before or after installing:

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

Environment variable: ARMOR_API_KEY

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

AnomalyArmor Agents

PyPI npm Glama License: MIT

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

Option 1: Claude Code Plugin (Recommended)

# 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

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