AnomalyArmor
Data observability for AI agents. Query alerts, monitor freshness, investigate schema drift, and trace lineage across your data warehouse via 53 MCP tools.
What is AnomalyArmor?
AnomalyArmor is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to data observability for ai agents. query alerts, monitor freshness, investigate schema drift, and trace lineage across your data warehouse via 53 mcp tools.
Data observability for AI agents. Query alerts, monitor freshness, investigate schema drift, and trace lineage across your data warehouse via 53 MCP tools.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Data observability for AI agents. Query alerts, monitor 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 for ai agents. query alerts, monitor freshness, investigate schema drift, and trace lineage across your data warehouse via 53 mcp tools. 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 license. You can use it freely in both personal and commercial projects.
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OpenInference
★ 986OpenTelemetry Instrumentation for AI Observability
Browse More Monitoring & Observability MCP Servers
Explore all monitoring & observability servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
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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