"A server for accessing biomedical and life sciences research articles" matching MCP servers:

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

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

A Model Context Protocol server for FlowSpeech text-to-speech. It lets MCP-compatible clients generate human-like audio with context-aware emotion control, pause control, multi-speaker dialogue, and 30+ available voices.

MCP server integrating VolcEngine for automatic speech recognition (ASR) and text-to-speech (TTS), converting audio to text or text to audio files.

Extracts and formats Bilibili video content into structured text for LLM processing and analysis.

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.

Remote MCP server that generates transcripts from YouTube, TikTok, Instagram, and Facebook videos. Supports OAuth authentication and credit-based pricing.

MCP server for Chamade — a voice and chat gateway that lets your AI agent join meetings and DMs on Discord, Microsoft Teams, Google Meet, Telegram, SIP, Zoom, Nextcloud Talk, Slack, and WhatsApp.

A Model Context Protocol server that enables AI assistants like Claude to initiate and manage real-time voice calls using Twilio and OpenAI's voice models.

Enables LLM applications to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and customizable voice parameters.

Enables audio transcription, intelligent splitting, and meeting analysis for MCP-compatible clients like Claude Desktop.

MCP server for parsing Douyin video links, downloading watermark-free videos, and extracting speech transcripts using AI speech recognition.

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

Enables LLMs to make voice calls and send SMS messages through the Vonage API, allowing AI assistants to perform real-world telephony operations with support for speech recognition and multi-language conversations.

Enables AI to analyze audio files for loudness, voice quality, and more via the AudioLab API, supporting both public URLs and local files.

A Model Context Protocol server implementation that enables AI assistants to interact with RetellAI's voice services for managing calls, agents, phone numbers, and voice options.

Local MCP server for neural text-to-speech using Kokoro ONNX engine on CPU, supporting SSML tags, multiple voice profiles, and zero-GPU operation for low-latency speech synthesis.

Enables AI assistants to have voice conversations and screen sharing capabilities via WebRTC, using Pipecat for speech-to-text and text-to-speech.

Enables Poke to trigger outbound AI phone calls through Vapi telephony, using a stateless server with installer-owned credentials.

Enables integration with Vapi's voice AI platform to manage assistants, create and schedule phone calls with dynamic variables, and manage phone numbers through function calling.