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Anomalyarmor

@anomalyarmor

代码仓库

关于 Anomalyarmor

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

基本信息

分类

开发工具

传输方式

stdio

发布者

anomalyarmor

提交者

Blaine Elliott

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

FAQ from Anomalyarmor

Which data warehouses does Anomalyarmor support?

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

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).

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.

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.

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.

评论

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