{"repo":"eunomia-bpf/schedcp","free":true,"listed":false,"github":"https://github.com/eunomia-bpf/schedcp","clone":"git clone https://github.com/eunomia-bpf/schedcp.git","description":"MCP Server for Linux Scheduler Management and Auto optimization","language":"C","stars":113,"topics":["ebpf","linux","mcp","mcp-server"],"license":"MIT","category":"mcp-servers","readme_excerpt":"SchedCP - Automatically Optimize Linux Scheduler with MCP Server WIP: We are building a benchmark for evaluating the optimizations for OS! SchedCP is an experimental project that enables AI optimization of Linux kernel schedulers using the sched-ext framework. It provides e2e automatic scheduler selection/synthesis, workload profiling, and performance optimization without any human intervention or guidance. Paper: SchedCP: Towards Agentic OS The future is not just about letting AI write code for you; the AI agent should act as your system administrator, able to optimize anything for you automatically, without requiring any manual intervention! It includes the following tools: - autotune - AI Agent-powered automatic OS optimization - schedcp - MCP server for scheduler management and generation Demo Start optimize any workload with AI by simply run: Allow LLM Agent to auto select and config the best scheduler: Allow LLM Agents to write new schedulers: Features & design - Automatic workload profiling - Automatic scheduler selection based on workload characteristics - Performance tracking across different schedulers - Real-time scheduler management and generation The current MCP tools include: - list schedulers - Get detailed information about all available schedulers - run scheduler - Start schedulers with custom configurations - stop scheduler - Stop running scheduler instances - get execution status - Monitor scheduler performance and output - create and verify scheduler - Cre","default_branch":null,"files":null,"tree":[],"storefront":"/r/eunomia-bpf","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/eunomia-bpf/schedcp/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}