AnomalyArmor
Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.
What is AnomalyArmor?
AnomalyArmor is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.
Data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Data observability tools for engineering teams: alerts, fres
Use Cases
Maintainer
Works with
Installation
PIP
pip install armor-mcpManual Installation
pip install armor-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about AnomalyArmor
What is AnomalyArmor?
AnomalyArmor is a Model Context Protocol (MCP) server that data observability tools for engineering teams: alerts, freshness, schema drift, lineage, quality. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install AnomalyArmor?
Install via pip with: pip install armor-mcp. Then configure your AI client to connect to this MCP server.
Which AI clients work with AnomalyArmor?
AnomalyArmor works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is AnomalyArmor free to use?
Yes, AnomalyArmor is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Monitoring & Observability MCP Servers
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Set Up AnomalyArmor in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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