"Exploring Automatic AI Applications and Tools" matching MCP servers:

Enables AI agents to transcribe, translate, and summarize audio via Zoom AI Services APIs, providing an 'ear' through tools like transcribe_audio, summarize_transcript, and translate_text.

Enables AI agents to synthesize natural speech using either platform system voices or premium OpenAI TTS, with automatic engine selection and graceful fallback.

Enables MCP clients to leverage the Intel Arrow Lake NPU for local speech transcription, screenshot OCR, private semantic search, and hardware diagnostics, all processed locally.

Provides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.

Enables users to convert text into high-quality audio by accessing the OpenAI Text-to-Speech API. It supports customizable model selection and voice options for synthesized speech generation via the MCP protocol.

An MCP server enabling video processing via natural language: transcription with Whisper, segment cutting with FFmpeg, and file management.

Enables room agents to generate or edit images (published directly into the room's Docs rather than passed through the model's context) and transcribe audio attachments, using the deployment's media providers with the room itself acting as the credential.

Enables AI coding agents like Cline to analyze video, audio, PDFs, and images by sending files to OpenRouter's multimodal models. It also provides a CLI and Python module for media analysis, with support for time-range trimming, PDF OCR, and multiple models.

Enables AI assistants to programmatically edit, analyze, and export audio projects through MCP tools, including multi-track editing, effects, transcription, and semantic search.

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.

MCP server for Mistral AI providing OCR, TTS, and STT capabilities via Voxtral.

A zero-cost, China-accessible MCP server providing four free AI capabilities: text chat, image generation, speech-to-text, and text-to-speech, ready to use after cloning.

MCP server for transcribing audio and generating structured customer requirement meeting minutes (including flowcharts) using Whisper and AI backends, with export to md/html/pdf/docx and model/settings management.

MCP server for interacting with Yandex Cloud AI Studio, enabling chat, text generation, image generation, speech recognition/synthesis, embeddings, classification, search indexes, and AI agent creation with function calling.

An MCP server providing tools for speech-to-text, translation, language detection, question answering, and text-to-speech using Sarvam AI models, enabling multilingual voice agents.

Provides browser automation, audio transcription, and LLM chat as MCP tools for any agent.

Bridges MCP-capable AI tools such as Claude Code, Cursor, and Codex CLI to the Prodius desktop app, letting an agent pop a question on screen and capture your spoken or typed reply without switching back to the terminal. It also sends fire-and-forget desktop notifications and can answer permission prompts by voice.

Multi-provider AI video, speech, music, and transcription MCP server enabling video generation, image-to-video, TTS, music creation, and speech-to-text via a unified interface.

Connects Speak AI transcription and insight data to Claude and ChatGPT, enabling natural language queries for summaries, action items, and quotes from recordings.

Enables AI assistants to transcribe audio files from URLs or local paths using AssemblyAI's services, with support for speaker diarization, language detection, and asynchronous job management through a standardized MCP interface.

Enables AI agents to generate speech using Gemini TTS models, with tools for text-to-speech, task polling, and pricing checks.

Enables MCP clients to manage AI voice assistants, place calls, run campaigns, handle contacts and knowledge bases, and read call transcripts. It also provides account, phone number, dialer, and analytics tools through a hosted or local MCP connection.

Enables interaction with Retell AI's voice and chat agent platform. Build, deploy, and manage AI phone agents, configure conversation flows, handle calls/chats, and manage phone numbers through natural language.

Provides multimodal understanding tools including OCR, image description, audio transcription, UI screenshot analysis, and screenshot comparison via async tools on a multimodal endpoint.

Production-ready MCP server for the deAPI REST API, exposing AI capabilities like audio transcription, image generation, OCR, video generation, and text-to-speech as MCP tools.

Remote MCP server wrapping the Bolna voice AI REST API, providing 11 tools (7 read, 4 write) for voice AI interactions.

Enables AI agents to provision phone numbers, send SMS, place AI voice calls, and react to inbound events via the Dial communication stack, all through MCP tools.

MCP server for controlling a Nabaztag rabbit's ears, LEDs, and voice pipeline, enabling AI tool-use via Claude Desktop/Code.

Automated short-form video creation from text prompts, combining text-to-speech, captions, background videos, and music, exposed as an MCP server for AI agents.

Enables users to log meals, retrieve daily nutrition summaries, receive nutrition recommendations, and resolve ambiguous food entries through standardized MCP tool calls. It supports voice-driven macro tracking and conversational disambiguation for Alexa+ and other MCP-compliant agents.