"A design platform for creating graphics and visual content" matching MCP servers:

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

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

A multi-agent human-computer interaction system that enables natural interaction through integrated visual recognition, speech recognition, and speech synthesis capabilities.

A Model Context Protocol (MCP) server that allows AI assistants like Claude to control real smart bulbs via UDP network communication, featuring voice commands, AI reasoning, and direct hardware control.

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 any MCP-compatible client to perform local voice cloning and text-to-speech using OmniVoice, including voice profile management, voice design, and an optional ASMR post-processing DSP pipeline.

Fast MCP Telegram — Production-grade Telegram MCP server with direct MTProto API, multi-user ACL, dual transport (stdio + HTTP SSE), voice transcription, and context-optimized design. One-command setup with uvx fast-mcp-telegram

Integrates OpenAI APIs into MCP-compatible clients, providing tools for text generation, chat completions, model discovery, image creation/editing, audio transcription, speech synthesis, embeddings, and content moderation.

Captures and transcribes system audio in real-time using OpenAI Whisper, enabling meeting transcription, content creation, and accessibility through natural language.

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

Control your voice AI platform through natural language from any MCP-compatible assistant.

Provides local audio analysis tools for LLMs, enabling transcription, conversation dynamics, prosody analysis, and visual inspection without API keys.

Enables local video inspection and offline transcription with timestamped JSON and Markdown output, enforced filesystem boundaries, and reproducible content-addressed caching.

A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.

Provides local vision and audio perception for MCP-compatible agents, enabling them to read images, transcribe text from visual media, analyze videos, and convert speech to text entirely on-device. It is privacy-focused with no cloud upload or API keys by default, using Ollama for inference.

Provides access to Whissle AI services for speech-to-text, speaker diarization, translation, and text summarization. It enables users to process various audio formats and manage text content through natural language tools.

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

Extracts transcripts or spoken captions from multi-platform video links (Bilibili, YouTube, Douyin) and returns concise Markdown summaries or full transcripts, saving tokens by keeping full text out of the conversation.

Gives Claude Desktop a maid personality with Japanese-accented text-to-speech, an interactive visual avatar with 16+ poses and animations, and speech recognition for voice input. Designed for fun rather than productivity.

MCP server that wraps MiniMax platform APIs (speech, video, image, music, and file management) as tools over stdio, enabling natural language interaction with MiniMax's AI services.