# mohakmalviya/frugal-blender-mcp

> An MCP server that lets an AI agent build Blender scenes through four tools (discover, execute, inspect, capture) instead of 31, cutting fixed context to 338 tokens with batched, permission-gated edits.

- Magnitude: 0.5 out of 10 — Quiet
- Stars: 13 total · +0 stars measured 2026-10-15, 02:28–04:45 UTC, ≈ 1 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-09-09 · Last push: 2026-10-14
- GitHub: https://github.com/mohakmalviya/frugal-blender-mcp · Homepage: https://pypi.org/project/frugal-blender-mcp/ · Page: https://gitnova.dev/en/r/mohakmalviya/frugal-blender-mcp

## Useful for

- Generate a full Blender scene from a text prompt via Claude Code or Cursor.
- Cut token usage when an agent needs many small edits to a 3D scene in one session.
- Restrict risky Blender actions by enabling delete, save, or python permissions only for trusted agents.

## Why it’s here

- Star-counter measurements on 2026-10-15 (UTC), 02:28–04:45: 13 → 13 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +1 stars, using observed gains and the previous day.
- The repository is 36 days old and already has 13 stars.
- New listing on glama.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 2
- Issues and pull requests: 2
- Watchers: 1
- Average over the last week: 1 per day
- Usual pace: 0 per day
- Stars in the last hour (measured): 0
- Latest release: v0.2.0 (2026-10-13)

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-09-16 … 2026-10-15: 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 2, 0

## Spotted in now

- New listing on glama

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-15 04:46 UTC, updated every 30 minutes.