"Resources for Frontend Coding" matching MCP servers:

Enables continuous voice conversation with AI coding assistants by locally transcribing speech with Whisper and delivering utterances as text prompts.

Voice interface for Claude Code: you talk, the agent listens, codes, and talks back while it works. Live speech-to-text with turn-taking, Grok/xAI voices with per-subagent personas, and a real-time HUD dashboard.

Turns text into local audio files (MP3) via OpenRouter speech models, enabling AI coding agents to generate voiceover narrations for video production.

CreativeClaw marketplace MCP server for creative tools and resources.

Enables voice input for AI coding assistants by recording audio, transcribing it locally with Whisper, and optionally typing the text at the cursor position. Supports multiple languages and works with MCP-compatible tools like OpenCode, Claude Code, and Cursor.

Connects to the TypeWhisper macOS app to let coding agents transcribe local files, inspect model status, search history, and manage dictionary terms and corrections.

Enables coding agents to participate in voice calls, speaking replies while continuing their work and accepting spoken input or interruptions within the same conversation. It delivers voice input into Claude Code, Codex, Cursor, or custom HTTP endpoint workflows.

Enables coding agents to build, test, and deploy production voice agents with real phone numbers directly from the editor, including live call monitoring and sandboxed development.

Enables AI coding agents and MCP clients to generate Giggy text-to-speech audio by listing voices, requesting speech generations, and polling generation status until a downloadable result URL is ready.

Turns a YouTube video or allowlisted local video into a timestamped transcript, chronological timeline, and retrievable image resources for transparent media preprocessing.

Local-first voice I/O for MCP clients, enabling hands-free dictation, spoken responses, and voice-based Q&A with coding agents.

Enables a coding agent to see and hear the host machine via webcam stills, microphone speech-to-text, and optional text-to-speech replies, all processed locally.

Enables Alexa+ voice intents to be evaluated and orchestrated through AWS Bedrock Claude 3.5 Sonnet, coordinating multi-surface actions across Ring, Fire TV, and Wearable AI devices via MCP tools, prompts, and resources.

Enables hands-free voice collaboration with a coding agent: you speak requirements aloud and hear only short, plain-language progress and completion summaries while the agent edits code, runs tests, and fixes bugs in the background. It also handles continuous speech recognition with automatic turn detection, barge-in interruption, and spoken approval prompts before risky operations.

An MCP server that watches for screen recordings, transcribes spoken feedback locally, and attaches each comment to the relevant frame, enabling coding agents to see and fix the issues you mention.

Enables coding agents to hold spoken conversations by exposing speech-to-text and text-to-speech tools over MCP, routing them to a local daemon that drives a Chrome window using on-device speech recognition and Piper synthesis. It supports listening, speaking, and reading files aloud within a Claude Code plugin or an MCP gateway.

Lets an AI coding session send and receive WhatsApp messages, media, and transcribed voice notes from a linked personal number or the official Cloud API, with pairing codes and allowlists gating every inbound chat and tool approvals handled by emoji reaction.

Enables agents to discover devices, query their capabilities, invoke system calls, and stage resources or deliver apps to connected WishOS hardware through a self-hosted connector and relay. It routes device-initiated tasks into an existing harness session (Codex, Claude Code, and others), keeping inference, tools, and history with that agent while handling voice, interface, and app transfer to the device.

Self-hosted WhatsApp management over Model Context Protocol, exposing a streamable HTTP MCP endpoint with 30 tools for session/QR pairing, messaging, media storage, and optional on-CPU voice note transcription via whisper.cpp.

Enables watching videos with an AI coding agent that transcribes, prepares concepts and visuals, and answers questions in context of the video. Provides MCP tools for transcript reading, concept mapping, artifact building, and interactive Q&A synchronized with playback.