"A GitHub repository named 'ahujasid/blender-mcp'" matching MCP servers:

Connects MCP-compatible assistants to Blender to read scene and selection context, and optionally execute user-requested Python through Blender's native API when explicitly enabled.

Enables LLM clients like Claude to control Blender remotely, including scene inspection, object creation/modification, and Python code execution, via a socket-based MCP server.

BlenderMCP connects Blender to AI agents via the Model Context Protocol, enabling direct 3D object manipulation, material application, asset downloads, and Python code execution with secure token-authenticated local communication.

Enables natural language control of Blender via Claude by converting MCP JSON-RPC calls to Blender's custom TCP protocol for scene manipulation, object creation, and Python execution.

Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.

Enables AI assistants to control Blender via MCP tools for scene manipulation, material assignment, rendering, and Python script execution.

Enables executing Python scripts, rendering scenes, and controlling 3D objects in Blender via Claude, with support for Cycles and EEVEE engines.

Enables natural language control of Blender 3D through local AI models, allowing MCP clients to create, modify, and render scenes, apply materials, and execute Python code in Blender.

A Model Context Protocol server that allows management and execution of Blender Python scripts, enabling users to create, edit and run scripts in a headless Blender environment through natural language interfaces.

Enables AI agents to inspect, discover, and execute batched Blender operations, capture renders/previews, and run arbitrary Python scripts for full bpy workflows, with on-demand operation discovery and bounded payload summaries.

Anthropic's github MCP server, but better. Support for more endpoints. Including releases and tags, pull request reviews, statuses, rate limit, gists, projects, packages, and even pull request diffs. Indented to be used with MissionSquad's MCP API for secret management (aka your access token).

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables LLM routing through multiple providers (OpenAI, Anthropic, xAI) via LiteLLM and provides a bridge to Blender for 3D scene management, asset integration from PolyHaven/Sketchfab, and automation workflows. Combines unified text generation with comprehensive Blender integration through a persistent TCP connection.

A read-only remote MCP gateway that lets MCP-capable agents discover GitHub REST endpoints and run many read-only GitHub reads (files, issues, comments, pull requests, checks) inside a single sandboxed JavaScript execution, returning only the compact result needed. This cuts model/tool round trips and context use, with enforced read-only access, repository allowlisting, and GitHub App authentication.

Connects Blender to AI assistants through the Model Context Protocol, enabling direct AI control of 3D modeling, scene creation, and manipulation via natural language.

Enables Claude AI to control Blender 3D through natural language commands for object creation, modification, deletion, and Python script execution.

Enables Claude AI to directly interact with and control Blender for rapid, natural language-based 3D modeling. Supports parametric design and relational design through direct Blender integration.

Connects Blender to AI through the Model Context Protocol to enable prompt-assisted 3D modeling and scene manipulation. It supports object creation, material control, and arbitrary Python code execution directly within the Blender environment.

A Model Context Protocol server that enables AI models to access tools through GitHub authentication and provides comprehensive analytics tracking of tool usage, performance, and user behavior.

Enables AI clients to create, edit, run, and inspect ScratchJr Desktop projects using natural language, including characters, backgrounds, text, sounds, and programming blocks.