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MCP server · Science

AnomalyArmor

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

Unclaimed science
37Low

Scored 4 months ago · breakdown

About AnomalyArmor

AnomalyArmor is an MCP server in the Science category: data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality. It has been installed 0 times through Conduid.

Install

uvx
uvx armor-mcp
pip
pip install armor-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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README

AnomalyArmor Agents

PyPI npm Glama

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

Skill Description Example
/armor:start Guided onboarding for new users "Help me get set up"
/armor:status Health summary across all assets "Is my data healthy?"
/armor:connect Connect a new data source "Connect my Snowflake warehouse"
/armor:monitor Set up freshness and schema monitoring "Monitor freshness for orders table"
/armor:alerts Query and manage alerts "What alerts fired yesterday?"
/armor:ask Natural language Q&A about your data "What tables contain customer data?"
/armor:analyze Trigger AI analysis "Analyze the finance schema"
/armor:quality Data quality metrics and validity rules "Add null check for customer_id"
/armor:coverage Monitoring coverage analysis "What tables have no monitoring?"
/armor:recommend AI-driven monitoring recommendations "What should I monitor?"
/armor:tags Asset tagging and classification "Tag this table as PII"
/armor:investigate Root cause analysis "Why is this table stale?"
/armor:lineage Data lineage exploration "What depends on this table?"
/armor:profile Table 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

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About AnomalyArmor

How do I install AnomalyArmor?

Run uvx armor-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is AnomalyArmor safe to use with an AI agent?

Its trust score is 37 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is AnomalyArmor still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.