"Guide to Creating React Components" matching MCP servers:

MCP server that gives AI coding agents hands, eyes and a mechanic's ear for React Native development.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

An MCP server that lets Claude query Google's Gemini CLI as a sub-agent. Get second opinions, verify information, and cross-reference answers between AI models.

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

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

An MCP server that lets AI agents list sessions, read terminal screens, type commands, and run commands (with optional waiting for exit status) in Rex terminal blocks on the local machine through the rex CLI. It exposes a single allowlisted passthrough CLI tool plus a guide tool, deliberately excluding destructive or cross-host operations.

An MCP server for creating, validating, and formatting Git commits with emojis following the conventional commit standard.

Enables creating temporary Quarto projects, writing files into them, rendering documents, and inspecting project output over MCP, while managing reusable metadata defaults.

Enables Claude to work with iTerm2 terminal sessions by staging commands for user approval, executing them after approval, creating new tabs, and returning only new output.

Enables AI assistants to run, manage, and debug BSD/Illumos VMs through natural language. Supports creating FreeBSD, OpenBSD, NetBSD, and OmniOS VMs, executing commands inside them, accessing console logs, and managing snapshots.

Enables AI assistants to manage local tmux sessions, including creating and controlling sessions, windows, and panes, sending commands, and capturing terminal output.

Enables programmatic control over tmux terminal sessions for SSH access, command execution, and terminal automation. Supports creating sessions, sending commands, capturing output, and managing multiple panes for interactive debugging and monitoring.

Enables natural language interaction with Getty's Quire digital publishing tool, allowing users to perform CLI tasks like creating projects without using the terminal.

Enables MCP-based communication with existing interactive terminal channels, such as shells or agent CLIs, by listing, reading, writing text, and sending control signals to tmux sessions without creating or managing them.

Enables AI assistants to manage Sentaurus TCAD simulation experiments via MCP, including creating and submitting jobs, querying status, reading logs, and listing output files.

An MCP server for creating and managing shared terminal progress bars from AI agents, enabling real-time tracking of parallel tasks.

An MCP server that gives an agent terminal and file-management capabilities, including running shell/Python commands, searching and reading files, and creating/editing/deleting files and folders.

Enables MCP clients like Claude Code to execute Ember CLI commands directly in projects, including running tests, generating components, and building apps.

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 execution of terminal commands, git operations, and automated setup of React, Vue, and Next.js projects with VSCode integration.

Enables AI agents and humans to read and write a git-backed knowledge base through isolated sandbox sessions, with tools for creating and closing sessions, running shell commands, listing sessions, and retrieving guide documents.

A remote Streamable HTTP MCP server that lets web clients like Claude.ai and ChatGPT manage cloud machines with OAuth login — creating, starting, pausing and deleting machines, running commands, reading and writing files, managing snapshots and public ports, and driving an optional Linux desktop via screenshots and input actions. Long-running work can be backgrounded and operations polled, so browser-based clients stay within their timeouts.

Enables AI agents to control the H3C HCL network simulator through MCP, including creating topologies, adding/starting devices, wiring links, reading console output, and running CLI commands.

Enables creating and managing AWS EKS clusters via Terraform, including VPC, node groups, add-ons, and kubectl configuration.

A lightweight adapter for creating MCP servers using Express.js, enabling multiple MCP clients on different endpoints with TypeScript support and SSE.

Enables AI agents to request and retrieve credentials from a Bitwarden-compatible vault through MCP tools, with human approvals, short-lived grants, audit logging, and optional OAuth 2.1 authentication. It also supports creating secrets and injecting them into child processes without exposing them to the model.