pulsemcp Safe content atomic mcp-remote

Blender

BlenderMCP enables Claude to control Blender through the Model Context Protocol, allowing for natural language manipulation of 3D scenes. The implementation consists of a Blender addon that creates a socket server and an MCP server that communicates with it, exposing resources and tools for scene inspection, object creation/manipulation, material application, and rendering. Users can create and modify 3D content through conversational prompts without needing to know Blender's interface or Python API, making it ideal for rapid prototyping, educational purposes, or assisting users unfamiliar with 3D modeling software.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/ahujasid/blender-mcp
Author type: human
Updated: 2026-08-31

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MCP

Resolve Blender from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"