"Tool for controlling a webpage with voice commands and mouse movements" matching MCP servers:

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

Enables AI assistants to control your webpage via MCP, allowing navigation, screenshots, clicks, content reading, and more through a Chrome extension.

MCP server for executing shell commands with automatic RTK token reduction, persistent caching, and execution logging.

An MCP server to run commands.

A Model Context Protocol server that extracts webpage creation, modification, and publication timestamps from various sources including HTML meta tags, HTTP headers, and structured data.

Enables AI assistants to execute predefined developer commands and manage long-running processes through a JSON configuration file. Supports both one-shot commands and daemon processes with automatic process lifecycle management.

A zero-config MCP server that lets AI agents fetch, read, and search live web pages without API keys or databases, using in-process BM25 retrieval.

Enables MCP-capable chat clients to synthesize speech from text, convert it with a local RVC voice model, and render the result in an inline audio player.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

An MCP server for AI voice synthesis with an inline audio player, allowing users to give their AI assistant a custom cloned voice using DashScope or ElevenLabs.

Enables AI assistants to synthesize speech using a custom cloned voice through MiniMax TTS and present it in an inline audio player with waveform visualization and transcript controls.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Enables building a daily standup from real GitHub activity and spoken notes, exposing tools to fetch a voice-ready summary, capture tasks, bugs and blockers, list and complete items, and file deduplicated GitHub issues. Output is voice-first, returning a short spoken version alongside markdown for the screen.

Enables AI assistants to synthesize speech in a custom cloned voice and present it through an inline audio player with waveform visualization and transcript toggle.

Enables Claude to generate, rewrite, de-AI, and transform text into a specific human voice, primarily the operator's own, using stylometric and AI-detector gates.

Captures screenshots of web URLs or local HTML files using Playwright Chromium and exposes them as resources.

Enables spoken conversations with Claude on a Mac: Claude speaks through speakers, listens to the user's natural replies, and transcribes them locally. No audio leaves the computer, and it includes tools for voice setup and a hands-free voice mode.

MCP server for Cursor that generates text responses via Yandex GPT and converts them to speech using Yandex SpeechKit TTS, enabling voice replies to user messages.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

Build AI voice agents that answer and place real phone calls over your own carrier, on any voice engine (Gemini Live, Sarvam, OpenAI, ElevenLabs and more) with one API key. Create agents, connect SIP trunks and numbers, run call campaigns, and read transcripts and costs from Claude Code, Codex, Cursor or any MCP client.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Voice Mode for Claude Code

A local-first MCP server that builds compact voice profiles from writing samples, then compares, rewrites, or generates new text in that voice.

Enables ChatGPT on the web to generate and play spoken audio through an embedded player, exposing a speak tool that renders text with selectable styles and scenes via configurable text-to-speech providers. It routes each request across ElevenLabs, Cartesia, Azure Speech, and DashScope in a configured failover order, picking providers by language and scenario.

Enables MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

Enables AI assistants to synthesize speech with custom or cloned ElevenLabs voices and display an inline audio player with waveform visualization, transcript toggle, and dark mode support.

Serves a single set of typed, validated tool definitions to MCP clients over stdio, letting them perform real actions through one controlled executor. The same definitions power a speech-driven OpenAI tool-calling agent, so voice and MCP clients share identical, validated capabilities.

Enables voice-driven control of coding agents via Claude on your phone, allowing status checks, stand-ups, sending prompts, and receiving push notifications when agents finish or need decisions.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.

Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.