Metrillm
Benchmark local LLM models — speed, quality & hardware fitness verdict from any MCP client
What is Metrillm?
Metrillm is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to benchmark local llm models — speed, quality & hardware fitness verdict from any mcp client
Benchmark local LLM models — speed, quality & hardware fitness verdict from any MCP client
This server falls under the Data Science & ML and Developer Tools categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Benchmark local LLM models — speed, quality & hardware fitne
Use Cases
Maintainer
Works with
Installation
NPM
npx -y metrillm-mcpManual Installation
npx -y metrillm-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Metrillm
What is Metrillm?
Metrillm is a Model Context Protocol (MCP) server that benchmark local llm models — speed, quality & hardware fitness verdict from any mcp client It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Metrillm?
Install via npm with the command: npx -y metrillm-mcp. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Metrillm?
Metrillm works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Metrillm free to use?
Yes, Metrillm is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Metrillm 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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