MCP Server for Linux Scheduler Management and Auto optimization
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"schedcp": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
WIP: We are building a benchmark for evaluating the optimizations for OS!
This server supports HTTP transport. Be the first to test it — help the community know if it works.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Click any tool to inspect its schema.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in devops
MCP server for using the GitLab API
Enhanced MCP server for GitLab: group projects listing and activity tracking
Yunxiao MCP Server provides AI assistants with the ability to interact with the Yunxiao platform. It provides a set of tools that interact with Yunxiao's API, allowing AI assistants to manage Codeup repository, Project, Pipeline, Packages etc.
MCP server for Komodo - manage Docker containers, servers, stacks, and deployments via AI
MCP Security Weekly
Get CVE alerts and security updates for Schedcp and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
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:
Start optimize any workload with AI by simply run:
autotune/target/release/autotune cc "<your workload command>"
# example for linux build
autotune/target/release/autotune cc "make -C workloads/linux-build-bench/linux clean -j && make -C workloads/linux-build-bench/linux -j"
# example for schbench
autotune/target/release/autotune cc workloads/basic/schbench/schbench
Allow LLM Agent to auto select and config the best scheduler:

Allow LLM Agents to write new schedulers:

The current MCP tools include:
The major dependencies are the dependencies for the sched-ext framework. You can check the github.com/sched-ext/scx for more details.
You also need to install the deps for the workloads you want to optimize.
# Clone with submodules
git clone https://github.com/eunomia-bpf/schedcp
cd schedcp
git submodule update --init --recursive scheduler/scx
# Build schedulers
cd scheduler && make && make install && cd ..
# Build autotune
cd autotune && cargo build --release && cd ..
# Build MCP server
cd mcp && cargo build --release && cd ..
USAGE_GUIDE.md - Complete guide on how to use schedulers
PROJECT_STRUCTURE.md - Detailed project organization
AI_AGENTS.md - AI agent implementation