llmprobe
Probe LLM API endpoints and report health metrics including time to first token, latency, and throughput.
What is llmprobe?
llmprobe is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to probe llm api endpoints and report health metrics including time to first token, latency, and throughput.
Probe LLM API endpoints and report health metrics including time to first token, latency, and throughput.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Probe LLM API endpoints and report health metrics including
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx llmprobeConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about llmprobe
What is llmprobe?
llmprobe is a Model Context Protocol (MCP) server that probe llm api endpoints and report health metrics including time to first token, latency, and throughput. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install llmprobe?
Follow the installation instructions on the llmprobe GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with llmprobe?
llmprobe works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is llmprobe free to use?
Yes, llmprobe 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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Set Up llmprobe 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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