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  3. AnomalyArmor
AnomalyArmor logo
Health: ActiveRecent health check succeeded.Last checked 10/12/2026, 3:46:51 AM

AnomalyArmor

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View Repository1 GitHub StarsTotal stargazers on GitHub for the source repository (1 stars).Visit Website
data-observabilitymonitoringdata-qualityschema-driftalerts

Monitor data health, alerts, freshness, schema drift, quality, lineage, and coverage through MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Configure Environment Variables (API Keys, Tokens, Options):
Add required secrets below β€” values are included directly in the generated snippet so you can copy and paste with confidence.
Quick Add:
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "anomalyarmor": {
      "command": "uvx",
      "args": [
        "armor-mcp"
      ],
      "env": {
        "ARMOR_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ“Š More in Monitoring

Overview

AnomalyArmor MCP server connects MCP-compatible AI tools to AnomalyArmor’s data observability platform. It exposes consolidated tools for checking health, querying and managing alerts, monitoring freshness and schema changes, configuring quality checks, exploring lineage, and applying tags. Use it when an engineering team wants to investigate data issues or configure monitoring through Claude Code, Cursor, or another compatible client.

Use cases

β€’Check overall data health and unresolved alerts
β€’Investigate stale tables and upstream dependencies
β€’Configure freshness and schema monitoring
β€’Create data quality and referential integrity checks
β€’Explore lineage and monitoring coverage

Key features

β€’Health summaries and daily briefings
β€’Alert querying and rule management
β€’Freshness and schema drift monitoring
β€’Data quality and validity rules
β€’Lineage, tagging, and coverage analysis
β€’AI recommendations and natural-language data questions

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by AnomalyArmor.

Extracted Tool Capabilities
Health summaries and daily briefings
Alert querying and rule management
Freshness and schema drift monitoring
Data quality and validity rules
Lineage, tagging, and coverage analysis
AI recommendations and natural-language data questions

How AnomalyArmor works

What AnomalyArmor MCP server does

AnomalyArmor MCP server gives AI agents access to data observability functions in the AnomalyArmor platform. It covers operational checks and configuration tasks across monitored data assets, including health summaries, alerts, freshness schedules, schema monitoring, data quality, referential integrity, coverage, destinations, lineage, and tags.

The repository also provides 14 slash-command skills for Claude Code. These include onboarding, status checks, alert management, source connections, monitoring setup, natural-language questions, analysis, quality rules, coverage reviews, recommendations, tagging, investigations, lineage, and table profiling.

How it works

The MCP package uses a consolidated tool design: domain-level tools accept an action parameter for related operations. The README lists 29 consolidated MCP tools and describes 52 tools in the package overview. Operations include reading summaries, filtering alerts, creating or modifying rules, testing connections, starting discovery, checking asynchronous job status, and triggering analysis.

An agent can use the server to inspect current conditions or make changes. For example, it can identify stale tables, review unresolved alerts, create a freshness schedule, enable schema monitoring, add null-rate or row-count metrics, configure validity rules, or examine upstream and downstream lineage. Natural-language questions and AI recommendations are also available for supported assets.

Setup and configuration

An AnomalyArmor MCP server deployment requires an AnomalyArmor account and an API key. The key can be supplied through the ARMOR_API_KEY environment variable or stored in ~/.armor/config.yaml under the api_key field.

The documented MCP configuration runs the package with uvx:

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

The README also documents a Claude Code plugin installation through the AnomalyArmor marketplace or skills.sh. After configuration changes, restart the AI tool. If the server is not found, verify that uvx is installed and that the MCP configuration is valid.

Tools and capabilities

The AnomalyArmor MCP server supports these areas:

  • Health summaries and daily briefings across monitored assets.
  • Alert queries, inbox management, history, trends, acknowledgement, resolution, snoozing, and comments.
  • Alert rule creation, updates, deletion, duplication, and enablement controls.
  • Asset listing, source creation, connection testing, schema discovery, and asset management.
  • Freshness checks and schedules, including pause and resume operations.
  • Schema baselines, change lists, monitoring configuration, and dry runs.
  • Metrics, validity rules, referential checks, and their results.
  • Slack, email, and webhook alert destinations.
  • Coverage scoring, monitoring recommendations, natural-language questions, and intelligence generation.
  • Lineage graphs, tags, API key information, and asynchronous job status.

Reach for AnomalyArmor MCP server when an agent needs both observability information and configuration controls rather than read-only reporting. The available operations can affect monitoring rules, schedules, destinations, tags, and other platform settings, so clients should confirm intended changes before executing them.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
1
Stargazers on the source repository.
Last commit
4mo ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about AnomalyArmor

AnomalyArmor is an MCP server that connects AI tools to AnomalyArmor’s data observability platform. Its main tools cover health summaries, alerts, asset discovery, freshness, schema monitoring, data quality, lineage, tagging, recommendations, and natural-language questions. It runs through the AnomalyArmor API using an API key and supports Claude Code, Cursor, and other MCP-compatible clients.

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Technical Specs & Signals

CategoryπŸ“ŠMonitoring
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimePython
LicenseMIT
ClientsClaude Code, Cursor, Claude Desktop, Cline / VS Code, Windsurf, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 6, 2026
14/14 checks healthy over the last 63d
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars1
GitHub Star CountTotal stargazers on GitHub representing community popularity (1 stars).
Last commit4mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on May 30, 2026
36Quality signal: Fair Β· 36/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8d ago via OSV.dev Β· armor-mcp (PyPI)

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