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Anomalyarmor MCP Server

@anomalyarmor

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基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

anomalyarmor

投稿者

Blaine Elliott

Anomalyarmor MCP Server について

Data observability for engineering teams: alerts, freshness monitoring, schema drift detection, validity rules, lineage. Connect any MCP client (Claude Code, Cursor, Claude Desktop) via 53 structured tools across Snowflake, BigQuery, Postgres, Databricks, Redshift, ClickHouse, My

#data-observability#monitoring#alerting#data-quality#schema-drift#freshness#lineage#snowflake#bigquery#postgres#databricks#dbt

Anomalyarmor MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "anomalyarmor": {
      "url": "https://mcp.anomalyarmor.ai/mcp"
    }
  }
}

Anomalyarmor MCP Server のツール

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この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。

概要

What is Anomalyarmor?

Anomalyarmor is a data observability MCP server for engineering teams. It provides 53 structured tools to query alerts, monitor freshness, investigate schema drift, configure validity rules, and trace lineage across data warehouses—all through natural language in any MCP client (Claude Code, Cursor, Claude Desktop). Supported warehouses include Snowflake, BigQuery, Postgres, Databricks, Redshift, ClickHouse, MySQL, SQL Server, and AWS Athena.

How to use Anomalyarmor?

Connect via remote (recommended) with OAuth 2.1, or locally by installing the Python package (pip install armor-mcp) and providing an API key. For remote, add the server URL https://mcp.anomalyarmor.ai/mcp to your client. For local, configure uvx with the armor-mcp command and set the ARMOR_API_KEY environment variable.

Key features of Anomalyarmor

  • 53 structured tools for data observability
  • Supports Snowflake, BigQuery, Postgres, and 6 more warehouses
  • Remote (OAuth) and local (API key) connection modes
  • Tools for health, alerts, freshness, schema, quality, and lineage
  • ToolAnnotations for auto‑confirm behavior in MCP hosts
  • Slack, email, webhooks, and PagerDuty destination integrations

Use cases of Anomalyarmor

  • Monitor data freshness and receive automatic alerts
  • Investigate schema drift and create baselines
  • Validate data quality with metrics and referential checks
  • Trace lineage and generate intelligence from your warehouse
  • Manage alert rules and incident workflows via natural language

よくある質問

1

Which data warehouses does Anomalyarmor support?

Snowflake, BigQuery, Postgres, Databricks, Redshift, ClickHouse, MySQL, SQL Server, and AWS Athena.

2

How can I connect Anomalyarmor to my MCP client?

Two methods: Remote (OAuth 2.1, zero‑install, always up to date) via URL `https://mcp.anomalyarmor.ai/mcp`, or Local (API key from the Anomalyarmor app, requires `pip install armor-mcp` and `uvx`).

3

What kinds of tools does Anomalyarmor offer?

Tools are grouped into categories: Health & Briefings, Alerts & Incidents, Assets, Freshness, Schema Monitoring, Data Quality, Destinations, Intelligence, Lineage, Tags, and Jobs—each with dedicated MCP ToolAnnotations.

4

Is there a remote server option available?

Yes, remote is the recommended method. It uses OAuth 2.1 authentication and requires only a URL configuration—no local installation.

5

What authentication methods does Anomalyarmor support?

Remote connections use OAuth 2.1 (via Clerk). Local connections require an API key set as the `ARMOR_API_KEY` environment variable.

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