"A tool or resource related to Blender software or kitchen blender appliances" matching MCP servers:

MCP server that enables AI to control Blender 3D, providing 175 typed tools for objects, materials, animation, compositing, and more via the Model Context Protocol.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

MCP server for Coalesce that manages nodes, pipelines, environments, jobs, and runs, and enables project validation, DDL/DML preview, deployment planning, and cloud environment application.

Sandboxed Python execution with automatic dependency management. Executes Python scripts in isolated environments (bubblewrap or Docker) with PEP 723 inline dependencies, preventing host pollution.

An MCP server that lets Claude analyze your TradingView charts by reading the window and taking screenshots, with no write tools or trade execution.

Enables AI assistants to render 3D models from OpenSCAD code, generating single views or multiple perspectives with full camera control. Supports animations, custom parameters, and returns base64-encoded PNG images for seamless integration.

An MCP server that enables AI assistants to read, create, and manage issues, repositories, and releases on Gitea, Forgejo, or Codeberg instances via personal access tokens.

A dedicated MCP and REST service that searches grocery retailers directly and returns reviewable product links, enabling users to find products and create handoffs without adding to carts or placing orders.

Multi-provider image generation MCP server that enables image generation from Claude Desktop, Claude Code, or any MCP client using OpenAI, Google Gemini, Stable Diffusion, or a placeholder provider.

A multi-domain MCP server that exposes a small, stable surface of three tools (list_domains, list_domain_tools, call_domain_tool) to gate access to various tool domains like Plane and BloodBank, preventing agent schema overload.

Provides LLM access to the Event Monitoring System (EMS) API for comprehensive flight data analytics and monitoring. It enables users to query flight records, retrieve time-series analytics, and explore aircraft assets or database hierarchies.

Enables LLM-driven agents to autonomously detect, diagnose, repair, verify, and prevent software and hardware failures on local and remote systems. Includes built-in safety checks and automatic rollbacks.

MCP server for Anki via AnkiConnect, enabling creation, search, and management of flashcards directly from Claude Code or any MCP client.

Run AI agents in Zulip as @mentionable bots — or wire into any MCP client.

Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.

Provides standards documentation and validation tools for the Darwin platform, including naming conventions and agent card validation. It enables AI agents to search platform standards and access resource templates for design and implementation.

AI-powered emergency coordination platform built with NitroStack MCP to accelerate disaster response through intelligent planning, resource orchestration, and real-time operational insights.

A unified Open Source Intelligence toolkit that integrates data sources like Censys, Shodan, and LinkedIn for comprehensive infrastructure and identity research. It enables users to perform automated email verification, vulnerability scanning, and person or company enrichment directly through Claude.

Enables users to manage Gmail by fetching recent emails with pagination and creating new or reply drafts via the Gmail API. It provides a seamless interface for interacting with email content and drafting responses within Gemini-CLI.

A Model Context Protocol server framework featuring dynamic tool loading and automatic tool discovery from a dedicated directory. It leverages FastMCP to provide a robust environment for building, configuring, and testing individual Python-based tools.