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

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

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.

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.

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.

Harvests React components from Aceternity UI and Shadcn UI, fetching code and metadata to generate integration prompts for AI agents.

Enables evaluation of AI-generated code across 45 specialized dimensions using deterministic pattern matching and optional LLM-powered deep review, acting as an independent quality gate.

MCP server that enables AI agents to read, edit, and create PLC projects in EcoStruxure Control Expert via COM automation.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Turns a codebase into a persistent knowledge graph so AI coding agents can answer structural questions about functions, call chains, routes, and cross-service links through graph queries instead of reading files one by one.

Enables dynamic exploration of Angular library components by reading and analyzing the public API exports. Provides tools to list available components and retrieve detailed component information.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Enables AI agents to query component governance rules, validate component props, and generate development prompts for questionnaire editors.

Enables AI assistants to discover, understand, and generate code for NTV Scaffolding Angular components, including documentation lookup, template generation, and complete component file scaffolding.

Provides AI agents with ground-truth knowledge of Strapi projects by reading real schema files, enabling accurate queries and safe refactoring operations.

Enables MCP-compatible AI clients to inspect Godot project and editor state, observe opted-in running scenes, manage processes, and apply permission-scoped guarded edits. It starts read-only and exposes additional capabilities only through explicit command-line flags.

Uses Claude as an independent second-model reviewer inside Codex, performing reviews on disposable Git snapshots with structured findings.