Is ai.anomalyarmor/armor-mcp safe to use?

ai.anomalyarmor/armor-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install ai.anomalyarmor/armor-mcp?

ai.anomalyarmor/armor-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

ai.anomalyarmor/armor-mcp

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

0 tools GitHub

No known CVEs

No license

Maintenance unknown

No commit data

Untested

Transport:

0 tools

Grade F

Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "ai-anomalyarmor-armor-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Read me

What ai.anomalyarmor/armor-mcp does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

11/100across 5 weighted dimensions

How we score →

0255075100

−89

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

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Frequently Asked Questions

Is ai.anomalyarmor/armor-mcp safe to use?: ai.anomalyarmor/armor-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install ai.anomalyarmor/armor-mcp?: ai.anomalyarmor/armor-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.

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Discussion

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Analytics

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Untested on Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "ai-anomalyarmor-armor-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/ai-anomalyarmor-armor-mcp)](https://mcppedia.org/s/ai-anomalyarmor-armor-mcp)

Read me

What ai.anomalyarmor/armor-mcp does

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

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

README

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

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

AnomalyArmor Account: Sign up at anomalyarmor.ai
API Key: Generate at Settings > API Keys
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 acr

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

11/100across 5 weighted dimensions

How we score →

0255075100

−89

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

No package registry to scan.

Help improve this page

This server is missing a description. Tools and install config are also missing.If you've used it, help the community.

Add information

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is ai.anomalyarmor/armor-mcp safe to use?: ai.anomalyarmor/armor-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install ai.anomalyarmor/armor-mcp?: ai.anomalyarmor/armor-mcp can be installed by cloning its GitHub repository and following the setup instructions in the README.