blender-mcp (silwings1986/blender-mcp) is an MCP server listed on the M8ven Trust Index. It scores 56 out of 100, grade D. It declares 39 tools. No publisher has claimed this listing.

Caution

56/100

blender-mcp

Item: blender-mcp
Rating: 56
Author: M8ven

Connects Blender to Claude AI through the Model Context Protocol, enabling prompt-assisted 3D modeling, scene creation, and manipulation.

→ silwings1986/blender-mcp · listed on glama

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

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Who stands behind it

silwings1986

Source: Glama

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Install from

Glamanot scored here

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

// tools this server exposes22 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

get_scene_info

Get detailed information about the current Blender scene

get_object_info

Get detailed information about a specific object in the Blender scene. Parameters: - object_name: The name of the object to get information about

get_viewport_screenshot

Capture a screenshot of the current Blender 3D viewport. Parameters: - max_size: Maximum size in pixels for the largest dimension (default: 800) Returns the screenshot as an Image.

execute_blender_code

Execute arbitrary Python code in Blender. Make sure to do it step-by-step by breaking it into smaller chunks.

get_polyhaven_categories

Get a list of categories for a specific asset type on Polyhaven. Parameters: - asset_type: The type of asset to get categories for (hdris, textures, models, all)

search_polyhaven_assets

Search for assets on Polyhaven with optional filtering. Parameters: - asset_type: Type of assets to search for (hdris, textures, models, all) - categories: Optional comma-separated list of categories to filter by Returns a list of matching assets with basic information.

download_polyhaven_asset

Download and import a Polyhaven asset into Blender. Parameters: - asset_id: The ID of the asset to download - asset_type: The type of asset (hdris, textures, models) - resolution: The resolution to download (e.g., 1k, 2k, 4k) - file_format: Optional file format (e.g., hdr, exr for HDRIs; jpg, png fo…

set_texture

Apply a previously downloaded Polyhaven texture to an object. Parameters: - object_name: Name of the object to apply the texture to - texture_id: ID of the Polyhaven texture to apply (must be downloaded first) Returns a message indicating success or failure.

get_polyhaven_status

Check if PolyHaven integration is enabled in Blender. Returns a message indicating whether PolyHaven features are available.

get_hyper3d_status

Check if Hyper3D Rodin integration is enabled in Blender. Returns a message indicating whether Hyper3D Rodin features are available.

get_sketchfab_status

Check if Sketchfab integration is enabled in Blender. Returns a message indicating whether Sketchfab features are available.

search_sketchfab_models

Search for models on Sketchfab with optional filtering.

get_sketchfab_model_preview

Get a preview thumbnail of a Sketchfab model by its UID. Use this to visually confirm a model before downloading. Parameters: - uid: The unique identifier of the Sketchfab model (obtained from search_sketchfab_models) Returns the model's thumbnail as an Image for visual confirmation.

download_sketchfab_model

Download and import a Sketchfab model by its UID. The model will be scaled so its largest dimension equals target_size. Parameters: - uid: The unique identifier of the Sketchfab model - target_size: REQUIRED. The target size in Blender units/meters for the largest dimension. You must specify the des…

generate_hyper3d_model_via_text

Generate 3D asset using Hyper3D by giving description of the desired asset, and import the asset into Blender. The 3D asset has built-in materials. The generated model has a normalized size, so re-scaling after generation can be useful.

generate_hyper3d_model_via_images

Generate 3D asset using Hyper3D by giving images of the wanted asset, and import the generated asset into Blender. The 3D asset has built-in materials. The generated model has a normalized size, so re-scaling after generation can be useful. Parameters: - input_image_paths: The **absolute** paths of …

poll_rodin_job_status

Check if the Hyper3D Rodin generation task is completed.

import_generated_asset

Import the asset generated by Hyper3D Rodin after the generation task is completed.

get_hunyuan3d_status

Check if Hunyuan3D integration is enabled in Blender. Returns a message indicating whether Hunyuan3D features are available.

generate_hunyuan3d_model

Generate 3D asset using Hunyuan3D by providing either text description, image reference, or both for the desired asset, and import the asset into Blender. The 3D asset has built-in materials. Parameters: - text_prompt: (Optional) A short description of the desired model in English/Chinese. - input_i…

poll_hunyuan_job_status

Check if the Hunyuan3D generation task is completed.

import_generated_asset_hunyuan

Import the asset generated by Hunyuan3D after the generation task is completed.

// environment variables

To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.

configBLENDER_HOSTHost address for Blender socket server (default: "localhost")

configBLENDER_PORTPort number for Blender socket server (default: 9876)

configXDG_DATA_HOME

// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

39/39 tools missing one or more hints — get_scene_info (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_scene_info (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_object_info (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +36 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

Destructive tools are labelled

2 tools perform destructive updates without destructiveHint — get_viewport_screenshot deletes at line 322 (os.remove(temp_path)); get_viewport_screenshot deletes at line 322 (os.remove(temp_path))

Add destructiveHint:true to any tool whose handler calls .delete(), .upsert(), .update(), unlink, rm, DELETE, DROP, REPLACE INTO, or any operation that overwrites existing data.

Tool inputs are validated

30/39 tool handlers declare input schemas (77%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tests exist

No test files found

Add tests that exercise each declared tool.

Shell command execution

1 child_process call — runs shell commands

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail

The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.

// improvement guidance — verified publishers only

We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

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commit: 7636d13bded82eca58eb93c3f4cd8708dfdfbe8b

code hash: c23962a12fa1e29dc23e23681c19bc03180b9f074a4fc09e89e4957a04c223e5

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