"Searching for a blender MCP (Multipurpose Control Panel or similar component)" matching MCP servers:

Enables safe, structured control of Blender on Windows via a standalone STDIO MCP server, providing seven tools to inspect scenes, list and edit materials, transform objects, add modifiers, set smooth shading, and export assets without arbitrary code execution.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

Lets AI assistants such as Claude, ChatGPT, or Cursor connect to a Pterodactyl panel over OAuth 2.1 and act as the signed-in user to read consoles, edit files and configs, send commands, restart servers, and manage schedules. Every tool call is limited to the scopes the user approves and the panel permissions their account already holds, with all actions recorded in the activity log.

Windows-optimized MCP server that enables control of Blender 4.0+ through 21+ tools for scene management, object manipulation, and asset downloads from PolyHaven, Sketchfab, Hyper3D, and Hunyuan3D.

Enables Codex users to review workspace and staged files, preview diffs, stage or unstage changes, generate AI-written Chinese Conventional Commit messages from staged diffs, and switch, merge, update, and push branches from a local panel. All Git operations run through a locally registered MCP service without a cloud deployment.

Provides two MCP servers: Variant Authority for managing component variant manifests and Radix Primitives for accessibility composition using Radix UI. Together they serve as the source of truth for design-to-code workflows.

MCP server for Panel Todo — lets AI assistants manage your tasks, issues, and sprints directly in VS Code.

Enables searching for component, function, and type usage in React/TypeScript projects.

Exposes design system component documentation to LLM clients via MCP, allowing listing and retrieving component contexts from Markdown files with YAML frontmatter.

An MCP server that exposes a Svelte/SvelteKit project's component dependency graph over stdio, enabling AI coding assistants to query component imports, unused components, and route dependencies without an editor.

Enables AI agents to understand, inspect, create, validate, build, and document Jekyll component frameworks through Jekyll-aware tools, resources, prompts, sandboxed filesystem access, and configurable write modes.

Enables AI agents to inspect and drive Blender scenes directly, either through a live editor bridge on port 8190 or automatically via headless background CLI when Blender is closed. Provides token-efficient tools for scene outlining, object creation and modification, modifiers, materials, rendering, asset export, and arbitrary bpy script execution.

An MCP server that scans React and Vue projects, extracts component metadata (props, slots, events, imports, usage), and exposes it to AI coding agents via structured tools.

Enables AI to precisely use local Vue components by extracting their Props, Events, and Slots via AST analysis.

A server that integrates Blender with local AI models via the Model Context Protocol, allowing users to control Blender using natural language prompts for 3D modeling tasks.

Analyzes React component changes by performing structural analysis and generating visual diffs to identify pixel-level differences. It integrates with Figma to validate implementation compliance against design specifications and automates component reviews across git branches.

Enables natural-language control of Blender through the Model Context Protocol, supporting scene/file inspection, object management, primitive creation, transforms, and provider capabilities for the CDT engineering workflow.

Paid remote MCP server for ShipSwift providing tools to search SwiftUI components, generate patches, validate dependency policies, and export component receipts.

Provides AI assistants with access to private React component library documentation, props, and code examples through type-safe TypeScript integration.

Enables Figma-to-Code workflows by retrieving and calibrating real-world components from Figma designs, screenshots, and a component knowledge base, outputting component contracts and preview implementations.