"Information about cursors (general use or specific context)" matching MCP servers:

Enables AI assistants to summarize, take notes on, and answer questions about YouTube, Bilibili, and Xiaohongshu videos by providing subtitles and local speech transcription with timestamps via MCP.

Give your AI assistant eyes and ears — analyze any video, audio, or image, entirely on your machine.

Enables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.

Enables Alexa+ to retain and recall a lightweight per-user context thread across separate voice interactions, supporting starting, querying, and listing active contexts for continuity.

Local MCP server for private, consent-based speaker identification and attribution, with per-language voiceprints and calibrated match thresholds. It lets AI assistants know who is speaking in a room or transcript without cloud services.

MCP server for audio transcription using OpenRouter models, supporting verbatim, cleaned, and custom transcription modes.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Enables AI assistants to transcribe audio files using dTelecom's real-time speech-to-text with pay-per-use USDC micropayments, no API keys required.

MCP server for SpeechWeave transcription, enabling AI assistants to transcribe local files and URLs via wait-first or async tools.

SeaMeet MCP connects Claude, Cursor, Codex, and other AI agents to SeaMeet meeting recordings, transcripts, AI summaries, screenshots, action items, webhooks, and desktop recording controls. Use it to search meeting memory, read synced cloud recordings, and automate meeting notes through the Model Context Protocol.

MCP server for Whipscribe — transcribe audio and video from a URL or local file via Claude Desktop, Claude Code, Cursor, Windsurf, or any MCP-compatible client.

Pay the provider's own price. No markup, no subscription. Use 400+ Vercel AI Gateway models, including Veo, Kling, Seedance, Nano Banana and GPT Image, to make video, images, voice and text right inside Claude, ChatGPT or any MCP app. Deploy your own copy to Vercel in one click; every call is billed to your own Gateway credits.

Use OpenAI text, image, speech, transcription, embeddings and moderation models from Claude, Cursor and any other MCP client.

Enables MCP clients to use Arabic-centric AI for chat, cited Islamic Q&A, Qur'an and hadith quotation checks, deep research, Arabic-English translation, speech-to-text and text-to-speech, image generation, poetry, and safety moderation.

Analyze an hour-long YouTube video sentence by sentence in three minutes, and extract the information you need from the screen. Open-source local MCP server for AI clients.

Enables reading, searching, transcribing, and sending WhatsApp messages through uazapi, with audio returned as transcribed text and media saved as local files for AI agent use.

Provides live meeting context to an AI assistant during Google Meet or Zoom calls, enabling real-time transcript reading, decision tracking, and actionable advice in a side panel.

A Model Context Protocol server that provides text-to-speech functionality for AI agents using Microsoft Edge's text-to-speech technology, supporting multiple voices, languages, and voice customization.

An MCP (Model Context Protocol) server that provides seamless integration between Fish Audio's Text-to-Speech API and LLMs like Claude, enabling natural language-driven speech synthesis.

A server that enables Claude 3.7 and other AI agents to access VOICEVOX-compatible speech synthesis engines (AivisSpeech, VOICEVOX, COEIROINK) through the Model Context Protocol.

A Model Context Protocol server that enables AI assistants to utilize AivisSpeech Engine's high-quality voice synthesis capabilities through a standardized API interface.

Facilitates direct speech generation using Claude for multiple languages and emotions, integrating with a Zonos TTS setup via the Model Context Protocol.

A Model Context Protocol server that enables fast and free lipsync video creation for a wide range of digital avatars, supporting both audio and text inputs to generate synchronized lip movements.

Enables AI agents to use speech AI capabilities including LLM chat completions, text-to-speech in Uzbek, Russian, and English, speech-to-text transcription with speaker labels, voice isolation for noise removal, and realtime WebSocket streaming.

Enables AI agents to make real outbound phone calls to US/Canada numbers, handle conversations, and return transcripts and recordings via the Model Context Protocol.

Enables MCP clients to place real phone calls to businesses in the US and Canada, navigating phone menus, waiting on hold, asking the agent mid-call for information, and returning structured answers with transcripts. Supports booking, quotes, cancellations, and multi-business calls in parallel.

Enables assistants to search meetings, transcripts and dictations, gather decisions and action items by person and deadline, locate who said what and when, and transcribe audio or video from links or files. Sign-in is via OAuth account access, with reading free and transcription charged per minute.

Enables supported local AI clients to control a visible desktop presence through bounded presentation tools such as animations, window control, and short local speech over a loopback endpoint, without granting decision or execution authority.

Provides voice summaries after each AI request in Cursor, Cline, or any MCP-supported editor, allowing users to hear what was done and stay informed without staring at the screen.

Enables assistants to open scripts in a centered, multilingual reader with direct paste, locale-aware word tracking, manual sentence navigation, pause/auto-scroll, and optional browser or OpenAI speech recognition.