hotpath-rs MCP Server
pawurb/hotpath-rs
[](https://agentrank-ai.com/tool/pawurb--hotpath-rs/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Rust profiler for CPU, memory, SQL, HTTP, and async performance, with Prometheus and Grafana support.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
pawurb/hotpath-rs is a Rust tool licensed under MIT. Rust profiler for CPU, memory, SQL, HTTP, and async performance, with Prometheus and Grafana support. Topics: allocations, benchmark, performance, rust, debugging, mpsc, profiler, mcp, grafan, prometheus.
Ranked #103 out of 81417 indexed tools.
In the top 1% of all indexed tools.
Has 1,857 GitHub stars.
Used by 135 other projects.
Actively maintained with commits in the last week.
Ecosystem
Score Breakdown
1,857 stars → well-known project
Last commit 1d ago → actively maintained
63/67 issues closed → responsive maintainer
8 contributors → small team
135 dependents → gaining traction
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
Matched Queries
From the README
# hotpath - Rust Performance, CPU & Memory Profiler hotpath-rs is an easy-to-configure Rust performance profiler that shows exactly where your code spends time, burns CPU, and allocates memory. It helps you distinguish between functions that are slow because they wait on I/O and those that are CPU-intensive. Instrument functions, channels, futures, streams, SQL queries, HTTP calls, and byte-level I/O to find bottlenecks and focus optimizations where they matter most. Get actionable insights into time, memory, and async data flow with minimal setup. Built-in support for Prometheus metrics and Grafana dashboards. Try the TUI demo via SSH - no installation required: ``` ssh demo.hotpath.rs ``` Or let your own AI agent configure profiling in a repo: ``` cargo install hotpath hotpath init --agent claude ``` Explore the full documentation at [hotpath.rs](https://hotpath.rs). See [CONTRIBUTING.md](CONTRIBUTING.md) for development setup and guidelines. You can use it to produce oRead full README on GitHub →
Get the weekly AgentRank digest
Top movers, new tools, ecosystem insights — straight to your inbox.