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dhakalnirajan/blender-open-mcp
Local-first Model Context Protocol (MCP) server for controlling a live Blender session from AI agents, with a provider-agnostic LLM backend.
See repository
Setup steps are in the repository README.
:
Providers are configured at startup (CLI flags or environment variables) and can be switched at runtime through MCP tools, so an agent can hop between backends without restarting the server.
blender_ai_prompt
send a prompt to the active backend (per-call provider/base_url/model/api_key overrides supported).
blender_get_llm_provider
show active provider config (API key masked).
blender_set_llm_provider
switch/configure the backend at runtime.
blender_build_scene
guided plan for building a scene from a description.
blender_review_scene
read-only inspection workflow.
blender_configure_llm
provider-switching instructions with examples.
Details on this page are taken from the project's README. Open README
Clients mentioned in this server's README:

microsoft/playwright
Playwright is a framework for web automation and testing. It drives Chromium, Firefox, and WebKit with a single API — in your tests, in your scripts, and as a tool for AI agents.

yamadashy/repomix
Repomix is a tool that packs a codebase into an AI-friendly format, supporting local and remote repository processing and providing code compression, security checks and multiple output formats.

bytedance/UI-TARS-desktop
TARS is ByteDance's multimodal AI agent stack, shipping two projects: Agent TARS (a CLI and Web UI agent built on MCP) and UI-TARS-desktop (a desktop GUI agent).

ahujasid/blender-mcp
formerly blender-mcp — the PyPI package is now mcp-for-blender. Existing setups keep working; no config change is required. Read more.

microsoft/playwright-mcp
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models.

comet-ml/opik
Opik is the open-source LLM observability and evaluation platform for AI agent tracing, LLM evaluation, prompt management, and production monitoring. Built by Comet. Apache-2.0 licensed, free to self-host the full platform, with 20,000+ GitHub stars.