SuzieQ
This project provides a Model Context Protocol (MCP) server that allows language models and other MCP clients to interact with a SuzieQ network observability instance via its REST API.
What is SuzieQ?
SuzieQ is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to this project provides a model context protocol (mcp) server that allows language models and other mcp clients to interact with a suzieq network observability instance via its rest api.
This project provides a Model Context Protocol (MCP) server that allows language models and other MCP clients to interact with a SuzieQ network observability instance via its REST API.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- This project provides a Model Context Protocol (MCP) server
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx suzieq-mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about SuzieQ
What is SuzieQ?
SuzieQ is a Model Context Protocol (MCP) server that this project provides a model context protocol (mcp) server that allows language models and other mcp clients to interact with a suzieq network observability instance via its rest api. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install SuzieQ?
Follow the installation instructions on the SuzieQ GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with SuzieQ?
SuzieQ works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is SuzieQ free to use?
Yes, SuzieQ 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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Browse More Monitoring & Observability MCP Servers
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Set Up SuzieQ 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
Ready to use SuzieQ?
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