uniprof simplifies CPU profiling for applications without requiring code changes or additional dependencies. It automatically detects the appropriate profiler for various platforms and performs statistical analysis to identify hotspots.
From the registry: Universal CPU profiler designed for humans and AI agents
Please install the `uniprof` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Node.js** — Node.js required to run via npx. (https://nodejs.org)
Optional prerequisites:
- Docker — Docker is required for containerized profiling (default mode). Not needed for host mode. (https://docker.com)
Canonical MCP server config (stdio transport):
- command: `npx`
- args: ["-y","uniprof","mcp","run"]
Note: CPU profiling MCP server. Auto-install: npm install -g uniprof then uniprof mcp install claudecode. Supports Python, Node.js, Ruby, PHP, JVM, .NET, BEAM, and native (macOS/Linux).
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Real-time Kubernetes network traffic visibility and API analysis for HTTP, gRPC, Redis, Kafka, DNS.