"Design Resources and Prototyping Best Practices" matching MCP servers:

Enables a Claude Code cloud session to run shell commands inside a chroot jail on your own computer and to call the MCP servers already installed there, with every request authenticated and relayed over a Cloudflare quick tunnel so no router port is opened and no SSH key or tunnel is ever handed to the cloud VM.

Enables AI clients to securely execute remote commands and transfer files over SSH through standardized MCP tools, with multi-host management, flexible authentication, and an admin console.

Combines KC Chat Panel session interaction with AgentDock computer control tools, enabling Cursor Cloud Agent to chat and operate the local machine via AgentDock.

Enables asynchronous task delegation to local Antigravity and Codex CLI agents, with run IDs, status queries, waiting, cancellation, session resumption, and persistent background execution across client reconnects.

Enables agents to discover and inspect an installed qxctl command registry, run read-only operations, and preview/apply explicitly enabled administrative actions while preserving native authority, receipts, and recovery rules.

A production-ready MCP server that enables AI assistants to execute shell commands, manage files, monitor system resources, and automate complex workflows with advanced features like stock tracking and web automation.

Exposes a Kubernetes cluster to MCP-compatible AI clients, enabling read-only and optional write operations on cluster resources like pods, deployments, and namespaces through natural language.

Lets an agent load a design once into a long-lived OpenSTA session and then run static timing and power analysis through dedicated tools or arbitrary Tcl commands. Enables setup/hold slack, TNS/WNS, fmax, DRV, and power queries against the live session.

A production-grade TypeScript starter for building Model Context Protocol servers, supporting stdio and Streamable HTTP transports with modular tools, resources, and prompts.

Wraps Google Antigravity CLI into 11 typed MCP tools, enabling any MCP client to invoke agy for code review, prototyping, execution, and long-running tasks.

MCP server that enables natural language listing, unpacking, and exporting of Unreal Engine game resources via umodel, including AES-encrypted pak support.

A TypeScript MCP server template with Zod validation, dual transport (stdio/HTTP), and modular architecture for building MCP-compatible tools, resources, and prompts.

An MCP server that enables Claude to interact with Tembo Cloud platform API, allowing users to manage Tembo Cloud resources through natural language.

Allows Claude and other AI assistants to interact with Docker through the MCP protocol, enabling container and image management including listing, running, stopping, and pulling Docker resources.

An MCP server that exposes RS232 serial port connectivity, enabling listing, opening, reading, and writing to serial ports via tools and resources.

Connects AI coding agents to a library of procedural AI skills, verified code snippets, and executable shell commands. It enables searching, retrieving, saving, and injecting these resources into agent context.

Connects Google Gemini and local workflows to Google Antigravity IDE, enabling skill, plugin, rule, artifact, and transcript inspection along with workspace command execution, runtime workspace switching, and orchestration of local project resources.

Enables AI applications to interact with Zyxel switches via CLI for network configuration, monitoring, and management, supporting SSH/Telnet sessions and MCP-compliant tools, resources, and prompts.

A FastMCP server that exposes predefined artifacts as Resources and project lifecycle operations as Tools for creating, updating, deploying, debugging, testing, monitoring, and configuring projects with minimal token usage.

Enables intelligent interaction with Azure resources through natural language by translating requests into safe, auditable Azure CLI commands with plan/review workflows and direct access to 8 Azure services including Storage, Cosmos DB, Key Vault, and more.

A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.

Kiln lets AI agents design, check, slice and print on your own 3D printers (Bambu Lab, Creality, Prusa, Elegoo, Klipper, OctoPrint, USB), with Git-style version history for every design. Open source (AGPL-3.0).

An educational MCP server exposing shell command execution (PowerShell and sh) and a benign tool for learning about MCP tools, resources, and security risks like tool poisoning.

Enables AI assistants to discover and manage Huawei Cloud resources such as ECS, VPC, CCE, RDS, VPN, OBS, and IAM through 149 structured read-only tools, plus a generic CLI tool for write operations that defaults to dry-run and requires explicit confirmation before destructive actions.

Enables AI agents to fetch Nebius cloud service documentation and execute Nebius CLI commands for managing cloud resources like compute instances and storage buckets through natural language interactions.

A feature-complete MCP server template in TypeScript demonstrating tools, resources, prompts, and both stdio and HTTP transports.

Exposes any paparam CLI as an MCP server, automatically deriving tool definitions, resources, and prompts from the command's own schema, with validation before execution and support for both MCP protocol eras.

Exposes the foldkit mesh SDK as MCP tools and resources, enabling natural language interaction with the 7-prime spine, κ-bands, and fold operations.

This MCP server is a zero-config CLI tool that lets developers tap into any stdio-based MCP server from their terminal, enabling them to list tools/resources/prompts, call tools with JSON arguments, and health-check servers without requiring a full AI client or browser setup.

Enables AI tools to manage Renesas e2studio projects, including building, flashing, and debugging embedded code through MCP tools and resources.

Enables local AI coding assistants to operate remote Linux EDA clusters over persistent SSH/SCP for digital IC design, simulation, formal property verification, UVM testbench generation, static linting, and Git-backed workspace synchronization.

Enables AI agents to design RF filters and SMPS-EMC from spec using three MCP servers that drive LTspice, Qucs-S, and scikit-rf, with closed-form synthesis, real-component optimization, and CISPR-aware compliance checking.

Unified MCP server for managing cloud resources across AWS, Google Cloud, Azure, and DigitalOcean by wrapping their CLI tools.

Enables managing OpenI platform resources (login, query nodes, submit jobs, view logs) via natural language in Claude or Codex, following a kubectl/docker-style CLI.

Enables AI agents to locally inspect Android APKs over MCP by decompiling Java, decoding resources, searching classes and methods, tracing references, and producing evidence reports with limitations.

Enables AI agents to monitor system resources and control media, brightness, volume, and other Windows PC functions through natural language commands.

Enables agent clients to safely connect to tools and execution resources through MCP with authorization, approvals, audit, chat-context isolation, SSH/Docker access, and long-running command session tracking.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Provides MCP tools for high-performance computing (HPC) and converged computing, enabling agentic interactions with HPC resources and workflows.

A framework for building Model Context Protocol (MCP) servers using pure Bash scripts, allowing for the creation of tools, resources, and prompts without Node.js or Python runtimes. It provides a complete implementation of the MCP spec compatible with any environment running Bash 3.2+ and jq.