"A tool or software called Blender" matching MCP servers:

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

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.

Enables Claude to function as a full-stack software engineer with comprehensive development capabilities including project creation, database management, frontend/backend development, testing, deployment, and DevOps operations across multiple frameworks and technologies.

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 AI agents to safely inspect, edit, and test code within a bounded repository environment to solve software engineering tasks and verify fixes.

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.

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 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.

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

A Model Context Protocol server that provides Claude with a dedicated space for structured thinking during complex problem-solving tasks, helping improve its reasoning capabilities.

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

Enables AI assistants to leverage Qwen's code analysis capabilities with large context windows, supporting file/directory analysis, sandbox execution, and multiple approval modes for safe code operations.

MCP server that integrates Google Gemini CLI with AI assistants, enabling large file analysis and natural language queries without an API key.

A Model Context Protocol server that enables AI assistants to interact with Google Gemini CLI, allowing them to leverage Gemini's large token window for analyzing files and codebases using natural language commands.

Enables on-demand generation of TypeScript tools using an LLM with human-in-the-loop approval and safe sandboxed execution. It allows users to create and persist custom functionality through natural language requests.

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