by antarikshc · MCP Server · ★ 134
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Perfetto MCP Turn natural language into powerful Perfetto trace analysis A Model Context Protocol (MCP) server that transforms natural-language prompts into focused Perfetto analyses. Quickly explain jank, diagnose ANRs, spot CPU hot threads, uncover lock contention, and find memory leaks – all without writing SQL. ✨ Features Natural Language → SQL: Ask questions in plain English, get precise Perfetto queries ANR Detection: Automatically identify and analyze Application Not Responding events Performance Analysis: CPU profiling, frame jank detection, memory leak detection Thread Contention: Find synchronization bottlenecks and lock contention Binder Profiling: Analyze IPC performance and slow system interactions 📋 Prerequisites Python 3.13+ (macOS/Homebrew): uv (recommended): 🚀 Getting Started Cursor Or add to (global) or (project): <stron
| Stars | 134 |
| Forks | 24 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 45.2/100 |
| Open Issues | 4 |
| Last Updated | 2026-04-10 |
| Created | 2025-09-10 |
| Platforms | mcp, python |
| Est. Tokens | ~3259k |
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perfetto-mcp is This is a Model Context Protocol (MCP) server that gets answers from your Perfetto Traces. It turns natural‑language prompts into focused Perfetto analyses.. It is categorized as a MCP Server with 134 GitHub stars.
perfetto-mcp is primarily written in Python. It covers topics such as android-tracing, mcp, model-context-protocol.
You can find installation instructions and usage details in the perfetto-mcp GitHub repository at github.com/antarikshc/perfetto-mcp. The project has 134 stars and 24 forks, indicating an active community.
perfetto-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to perfetto-mcp on Agent Skills Hub include obsidian-mcp-server, dbt-mcp, biomcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.