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semble vs perfetto-mcp-rs
semble logo
semble
★ 4.5k
vs
perfetto-mcp-rs logo
perfetto-mcp-rs
★ 15

semble vs perfetto-mcp-rs

semble: Semble is a high-performance code search library designed for AI agents, providing instant access to precise code snippets. It offers significantly faster indexing and querying compared to transformer models, achieving 99% of their retrieval quality while running entirely on CPU without external dependencies.; perfetto-mcp-rs: An MCP server that analyzes Perfetto traces via LLMs, using PerfettoSQL. It automatically downloads trace_processor_shell and provides tools for Chrome traces and generic queries. Works with agentic MCP clients like Claude Code.

01

TL;DR

semble logoChoose semble if…

Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities

perfetto-mcp-rs logoChoose perfetto-mcp-rs if…

Analyze scroll jank causes in Chrome traces

02

Side-by-Side Comparison

Field
semble logosemble
perfetto-mcp-rs logoperfetto-mcp-rs
Category
RAG / Knowledge Base
Dev Tooling
Stars
★ 4.5k
★ 15
License
MIT
Apache-2.0
Updated
2d ago
4d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
android, anthropic, chrome
03

Features

semble logosemble
01Fast performance on CPU (indexes in ~250ms, queries in ~1.5ms)
02High accuracy (NDCG@10 of 0.854), comparable to transformer models
03Supports indexing local paths and remote Git repositories
04Functions as an MCP server for various AI agents
05Zero setup, no API keys, GPU, or external services required
perfetto-mcp-rs logoperfetto-mcp-rs
01Automatic download of trace_processor_shell (no manual Perfetto install required)
02Supports multiple trace file formats (.pftrace, .perfetto-trace, .bin, etc.)
03Dedicated Chrome analysis tools (scroll jank, page load, main thread hotspots, etc.)
04One-line install script with automatic MCP server registration
05Cross-platform support (Linux, macOS, Windows)
04

Use Cases

semble logosemble
↳Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities
↳Searching local or remote codebases for specific code snippets based on natural language or code queries
↳Finding semantically similar code sections related to a given file path and line number
perfetto-mcp-rs logoperfetto-mcp-rs
↳Analyze scroll jank causes in Chrome traces
↳Evaluate page load performance metrics (FCP, LCP, etc.)
↳Execute custom PerfettoSQL queries on any trace file
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
perfetto-mcp-rs logoperfetto-mcp-rs
TrendingObservabilityData Processing
FAQ

FAQ

What is the difference between semble and perfetto-mcp-rs?
Both semble and perfetto-mcp-rs are in the RAG / Knowledge Base category. semble has 4.5k stars, while perfetto-mcp-rs has 15 stars.
Which is better, semble or perfetto-mcp-rs?
The best choice depends on your use case. Choose semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities, and perfetto-mcp-rs if Analyze scroll jank causes in Chrome traces.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is perfetto-mcp-rs free or open source?
Yes, perfetto-mcp-rs is open source on GitHub (Apache-2.0).
→

Related

Alternatives to semble →Alternatives to perfetto-mcp-rs →semble details →perfetto-mcp-rs details →
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