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semble vs blender-ai-mcp
semble logo
semble
★ 4.5k
vs
blender-ai-mcp logo
blender-ai-mcp
★ 29

semble vs blender-ai-mcp

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.; blender-ai-mcp: blender-ai-mcp is a production-shaped MCP server that allows AI clients like Claude, ChatGPT, and Codex to control Blender through a stable, curated tool API. It replaces ad-hoc Python script generation with goal-first routing, deterministic inspection, and safe execution boundaries, enabling more reliable AI-assisted 3D modeling workflows.

01

TL;DR

semble logoChoose semble if…

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

blender-ai-mcp logoChoose blender-ai-mcp if…

AI-guided modeling workflows with goal setting and macro tools

02

Side-by-Side Comparison

Field
semble logosemble
blender-ai-mcp logoblender-ai-mcp
Category
RAG / Knowledge Base
Vision / Multimodal
Stars
★ 4.5k
★ 29
License
MIT
Apache-2.0
Updated
1d ago
1w ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agents, code-search, embeddings
3d-modeling, ai-agents, ai-tools
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
blender-ai-mcp logoblender-ai-mcp
01Stable tool API with validated parameters instead of raw bpy scripts
02Goal-first orchestration that keeps sessions anchored to an active intent
03Small, search-first public surface for AI clients
04Truth-first verification through inspection, measurement, and assertion tools
05Safe execution boundaries with Blender addon on main thread and MCP server for routing
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
blender-ai-mcp logoblender-ai-mcp
↳AI-guided modeling workflows with goal setting and macro tools
↳Automated scene inspection and verification using measurement and assertion tools
↳Reference-guided creative builds with iterative comparison and correction
05

Best For

semble logosemble
Code AssistantRAG / Knowledge Base
blender-ai-mcp logoblender-ai-mcp
TrendingWorkflow AutomationVision / Multimodal
FAQ

FAQ

What is the difference between semble and blender-ai-mcp?
Both semble and blender-ai-mcp are in the RAG / Knowledge Base category. semble has 4.5k stars, while blender-ai-mcp has 29 stars.
Which is better, semble or blender-ai-mcp?
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 blender-ai-mcp if AI-guided modeling workflows with goal setting and macro tools.
Is semble free or open source?
Yes, semble is open source on GitHub (MIT).
Is blender-ai-mcp free or open source?
Yes, blender-ai-mcp is open source on GitHub (Apache-2.0).
→

Related

Alternatives to semble →Alternatives to blender-ai-mcp →semble details →blender-ai-mcp details →
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