blender-mcp
Community plugin to control Blender 3D with any LLM of your choice
Runssource: GitHubhomepagePythonMITcommit 5866814479b4
Python, MIT licensed. The project labels itself: 3d modeling, ai, blender, blender addon, blender mcp, claude, generative ai and llm.
blender-mcp runs. An Argusic agent installed it in 0.2 minutes and hit 1 error on a clean machine with no GPU, and the whole session was recorded.
The blender-mcp package is fully installed under uv, all 113 tests pass, and the MCP server launches correctly over stdio.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 88 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
- Install time
- under a minute
- Cold machine to finish
- 4 minutes
- Errors hit and fixed
- 1 hit, 0 fixed with no human help
- Model tokens used
- 51,680
- Exact commit tested
- 5866814479b4
- Container image
- sha256:4c3d41857be3
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- How the result was proved
- runs before 2026-09-07 did not record the command used to check the result
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
exec /bin/sh -lc 'export PATH="$HOME/.local/bin:$PATH"; cd /work/repo && uv run python -c "from blender_… succeeded in 720ms: Import OK Everything is solid. Let me compile the final report. ``` ``` tokens used 51,680 Everything is solid. Let me compile the final report. ``` ```
Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Reached a running state on a clean machine, with the session recorded.
- Installed in 0.2 minutes.
- Ran without a GPU, so it does not need one to start.
- Licensed MIT, as reported by its host.
- Measured 3 times, so the result is not a one-off.
What did not, or is not known
- Hit 1 error during setup, 1 of which were not solved.
What it is a reasonable choice for
- Trying it on a laptop or a small server: it reached a running state without a GPU.
- A quick evaluation: it was running 0.2 minutes after the clone.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 3/3 | Runs with mocks | 92.00 | 0.01 | |
| Argusic Runner | 2/3 | Runs with mocks | 92.00 | 0.02 | |
| Argusic Runner | 1/3 | Runs | 80.00 | 0.01 |
Topics (from GitHub)
3d-modelingaiblenderblender-addonblender-mcpclaudegenerative-aillmmcpmodel-context-protocolpython
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/blender-mcp)Questions
- Does blender-mcp run?
- Yes. blender-mcp runs. Argusic installed and launched it on a clean machine in 0 minutes, hitting 1 error on the way, and recorded the session.
- How did Argusic test blender-mcp?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 5866814479b4. 3 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test blender-mcp?
- The run that produced this verdict cost $0.01: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does blender-mcp take to install?
- 0.2 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does blender-mcp need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing blender-mcp?
- 1 thing broke in the recorded run. Each one, and the time it cost, is listed on this page.
- Where is the evidence for blender-mcp?
- All 3 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.