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qartez-mcp vs semble
qartez-mcp logo
qartez-mcp
★ 54
vs
semble logo
semble
★ 4.5k

qartez-mcp vs semble

qartez-mcp: Qartez is a code-intelligence MCP server that builds a knowledge graph of your codebase. It serves pre-computed data like page rank, blast radius, git co-change, and cyclomatic complexity to AI assistants, reducing token usage by ~94%. It provides 30 tools for code understanding, refactoring, and safety checks.; 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.

01

TL;DR

qartez-mcp logoChoose qartez-mcp if…

AI-assisted code understanding and navigation without scanning files

semble logoChoose semble if…

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

02

Side-by-Side Comparison

Field
qartez-mcp logoqartez-mcp
semble logosemble
Category
Dev Tooling
RAG / Knowledge Base
Stars
★ 54
★ 4.5k
License
NOASSERTION
MIT
Updated
3d ago
1d ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
claude-code, code-intelligence, code-intelligence-mcp
agents, code-search, embeddings
03

Features

qartez-mcp logoqartez-mcp
01Knowledge graph with quad-signal impact analysis: PageRank, blast radius, git co-change, and cyclomatic complexity
02Pre-computed 30 MCP tools covering find, outline, impact, refactor, and analysis
03Supports 37 languages via tree-sitter parsing with no per-language setup
04Modification guard that blocks risky edits on high-impact files
05Local-first with zero cloud dependency; runs entirely on your machine
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
04

Use Cases

qartez-mcp logoqartez-mcp
↳AI-assisted code understanding and navigation without scanning files
↳Safe refactoring with impact analysis to prevent breaking changes
↳Reducing token costs when using AI coding agents like Claude Code
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
05

Best For

qartez-mcp logoqartez-mcp
TrendingCode Assistant
semble logosemble
Code AssistantRAG / Knowledge Base
FAQ

FAQ

What is the difference between qartez-mcp and semble?
Both qartez-mcp and semble are in the Dev Tooling category. qartez-mcp has 54 stars, while semble has 4.5k stars.
Which is better, qartez-mcp or semble?
The best choice depends on your use case. Choose qartez-mcp if AI-assisted code understanding and navigation without scanning files, and semble if Enhancing AI agents (e.g., Claude Code, Cursor, Codex) with fast and accurate code search capabilities.
Is qartez-mcp free or open source?
Yes, qartez-mcp is open source on GitHub (NOASSERTION).
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
→

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Alternatives to qartez-mcp →Alternatives to semble →qartez-mcp details →semble details →
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