"A platform providing TTS (Text-to-Speech) capabilities" matching MCP servers:

Enables AI agents to transcribe Instagram Reels into text by providing a tool that accepts a Reel URL and returns the speech transcript along with metadata such as author and duration.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

A server that generates MP3 audio files from text using Kokoro TTS technology with optional S3 upload capabilities.

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

Converts natural language queries into valid GraphQL queries and executes them against GraphQL APIs. Includes schema introspection, query validation, execution with authentication, and query history tracking.

A secure database query service built on FastMCP framework that allows users to query MySQL databases using natural language, with comprehensive permission management and security controls.

Retrieves, parses, and analyzes speeches and testimonies from Federal Reserve officers, enabling searches by speaker, topic, and keyword with automatic RSS feed discovery and intelligent relevance scoring.

A text-to-speech MCP server that enables AI assistants to speak using the VOICEVOX engine with support for multi-character conversations. It features queue management, low-latency streaming via FFplay, and cross-platform playback across Windows, macOS, and Linux.

Provides high-quality text-to-speech synthesis with 10 natural voices, emotion control, and dynamic pacing for professional applications requiring expressive speech output.

Provides text-to-speech capabilities through the Model Context Protocol, allowing applications to easily integrate speech synthesis with customizable voices, adjustable speech speed, and cross-platform audio playback support.

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

An MCP server that leverages the Microsoft Edge TTS service to provide high-quality text-to-speech capabilities across over 80 languages. It enables users to generate audio files, query available voices, and create subtitle files using natural language commands.

A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.

Enables search and retrieval of speech turns from Korea's National Assembly records using Korean or English natural-language queries, with citation-ready context and tools for exploring committees and meetings.

Cite-grade German legal-text infrastructure for LLM agents, providing access to federal, Länder, and EU laws with cryptographic provenance.

A shared communication bus for multiple agents using NATS and MCP, enabling MCP clients to list, message, and query agents.

Exposes Stable Diffusion for text-to-image generation and GPT-SoVITS for text-to-speech synthesis as MCP tools, enabling image and audio generation via natural language.

An MCP server that enables AI agents to pause and request human approval or information via Slack, Telegram, or macOS dialogs before proceeding with actions.

Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.

Enables fast text classification using Model2Vec static embeddings with 10 default categories (technology, business, health, etc.), supports custom category management, batch processing, and provides both local and remote deployment options.