"MCP server for finding research data and models for AI/ML training" matching MCP servers:

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 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 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.

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

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

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.

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

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

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.

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 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.

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 voice conversations and screen capture for AI agents via MCP-compatible clients, using Pipecat for speech-to-text and text-to-speech, with support for browser, WebRTC, and phone transport.

Enables AI agents to speak and listen in real-time with interruption handling, using local ML models and hot-swappable adapters.

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.

An MCP server for content creation that extracts video transcripts, scrapes web articles, and performs web searches.

Manage voice AI agents from Claude Code, Cursor, VS Code, or any MCP-compatible assistant.