"Connecting to SEC EDGAR MCP using Bedrock Models" matching MCP servers:

This MCP server enables Claude to speak summaries, announcements, and explanations aloud using text-to-speech — right from your terminal.

Enables converting text to speech audio in 20+ languages, returning base64-encoded MP3 output via Google TTS with x402 micropayment-based pay-per-call access.

Text-to-speech MCP server that enables AI assistants to read text aloud on the user's computer using Windows SAPI, with no API key or cloud service required.

Enables text-to-speech conversion using Google Translate's TTS, supporting many languages and accents, and saving MP3 files.

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 agents to convert text to speech using OpenAI's TTS models with voice selection, delivery instructions, and queue-based audio playback. Supports both blocking and non-blocking modes for flexible audio generation and playback control.

Enables text-to-speech conversion using the Kokoro TTS model, running fully locally with native JavaScript. Supports multiple voices, speed control, and integrates with MCP-compatible clients.

Integrates ElevenLabs Text-to-Speech capabilities with Cursor through the Model Context Protocol, allowing users to convert text to speech with selectable voices within the Cursor editor.

An MCP server that enables voice-to-voice AI conversations using ElevenLabs for speech synthesis and recognition, with tools for voice management, text-to-speech, and speech-to-text.

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

Enables MCP clients such as Claude to generate spoken audio locally, narrating English with Kokoro and Malayalam with IndicF5, Parler-TTS, Piper or MMS, including cloned Malayalam voices, pronunciation lexicons, and number/currency expansion. Outputs loudness-normalised WAV or MP3 and runs long narrations through a pollable job queue so tool calls never time out.

Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.

Enables AI models to speak and sing using retro-style formant speech synthesis, converting text or phoneme strings to WAV audio via MCP tools.

A Model Context Protocol server that enables AI models to generate and play high-quality text-to-speech audio through your device's native audio system using Rime's voice synthesis API.

Enables text-to-speech conversion using ElevenLabs API with voice management, streaming support, and multiple models.

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

An MCP server that enables LLMs to generate spoken audio from text using OpenAI's Text-to-Speech API, supporting various voices, models, and audio formats.

Enables text-to-speech synthesis using Coqui TTS with multiple models and languages, long-text chunking, customizable speed and speaker settings, and voice cloning from reference audio.

This server enables AI models to send SMS messages and initiate Text-to-Speech calls programmatically using ClickSend's API with built-in rate limiting and input validation.

Enables AI assistants to convert text to high-quality speech audio using MeloTTS. Automatically splits long texts into segments, generates WAV files, and merges them using ffmpeg with support for multiple languages and customizable speech parameters.

A server providing text-to-speech and speech-to-text functionalities using Windows' native speech services without external dependencies.

Enables MCP clients to speak by running local voice models using Chatterbox Turbo TTS or Kokoro TTS, with support for voice cloning, paralinguistic tags, and multiple voices.

An Alexa+ MCP add-on that turns a parent's description of their child's day into an original illustrated, narrated bedtime story with word-by-word read-along highlighting, branching choices, a word of the night, and a persistent story world that carries characters and past episodes from one night to the next. It runs the writing, painting and narration pipeline in the background on Amazon Bedrock and Polly while keeping every tool call under Alexa+'s latency budget, with Bedrock Guardrails checking the parent's request and every page.

Enables Alexa+ and other voice agents to tell personalized, feelings-aware bedtime stories using a child's saved hero profile, with interactive choices, timed wind-down stories, and optional MP3 narration.

Creates short videos for TikTok, Instagram Reels, and YouTube Shorts using the Model Context Protocol (MCP) and a REST API.

A Model Context Protocol server that wraps Volcengine's Text-to-Speech API, allowing users to generate speech from text using natural language parameters for customizing voice type, emotion, and speed.

Adds text-to-speech capabilities to Cursor IDE, allowing your AI assistant to speak responses, summaries, and explanations out loud using OpenAI or ElevenLabs.

An MCP server for AI voice synthesis with an inline audio player, allowing users to give their AI assistant a custom cloned voice using DashScope or ElevenLabs.

Enables an AI client to write, queue, convert, and monitor markdown podcast scripts into spoken-word audio locally using the same configured folders and environment.

macOS Notification MCP enables AI assistants to trigger native macOS sounds, visual notifications, and text-to-speech. Built for Claude and other AI models using the Model Context Protocol.