"Spaceflight API - Space Launch and Mission Data" matching MCP servers:

Wraps a set of cloud OpenAPI capabilities — text-to-image generation, streaming speech synthesis, audio file transcription with timestamps and speaker labels, object-storage upload with presigned download URLs, and web/image search — as standardized MCP tools. This lets MCP-capable AI clients such as Claude Code, Cursor, and Cline invoke these services directly through natural language, with per-tool credential configuration.

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.

MCP server providing tools to fetch YouTube video transcripts with metadata, supporting direct YouTube transcripts and audio transcription via multiple backends (whisper, AssemblyAI, OpenAI, Gemini).

Official MCP server for Theta EdgeCloud's On-Demand Model APIs, providing access to 20+ AI models including image generation, audio transcription, and LLMs, directly from MCP-compatible clients.

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

A low-latency text-to-speech MCP server that uses local Kokoro GGUF inference via TTS.cpp, providing say, get_voices, and get_status tools for AI agents to synthesize speech and manage playback queues.

Enables AI clients such as Cursor, Claude Desktop, Claude Code, and Obsidian to search and read locally transcribed meeting sessions, speaker-labeled segments, and OKF Markdown wiki pages, and to create or update wiki knowledge and speaker profiles.

Enables authenticated, company-scoped invoice OCR and extraction, PDF and image processing, document automation, media handling, transcription, and meeting workflows through OAuth-secured tools and prepaid credits.

Enables AI agents to transcribe local audio files or URLs into text with timestamps, chunking, and server status checks.

Pay-per-call x402 APIs for AI agents: DeFi token safety (honeypot/tax simulation, A-F grade), EVM chain data, web access (markdown/screenshot/PDF), speech-to-text. USDC on Base, no account, no API key

Enables agents to upload text-to-speech audio, price and launch blinded human listening studies using pairwise preference or human-vs-AI detection, and retrieve or export scored judgments with confidence intervals. It includes confirmation ceilings and idempotency safeguards to prevent unapproved spending.

A Model Context Protocol server that enables AI assistants to utilize AivisSpeech Engine's high-quality voice synthesis capabilities through a standardized API interface.

Enables ChatGPT and Claude conversations to display accessible interactive charts and lets models navigate readers through data points using speech, braille, and sound.

Enables any AI to place real phone calls in Spain and Mexico with an AI voice agent, then retrieve call status, summaries, collected data, and transcripts.

Enables AI assistants to retrieve public short-form video metadata, download media, transcribe videos with timestamps, and access sourced creator, platform-spec, loudness/subtitle, thumbnail-trend, and earnings data without an API key.

Read-only MCP server for Telegram that enables reading messages and transcribing voice, audio, and video notes via the Telegram API for use with Codex and Claude Code.

Enables driving a Claude Code session directly from WhatsApp over a linked device or the official Cloud API, with bidirectional messaging, media attachments, local voice transcription, per-group personalities, and context recovery after restarts. Adds pairing-code access control, allowlists and group policies, plus remote approval or denial of tool permission prompts via emoji reactions — no API keys, no Docker.

A voice-to-text transcription service that converts audio files to transcripts using SiliconFlow, supporting both multipart/form-data and base64 formats.

Enables LLMs to transcribe, analyze, and translate audio/video content through Gladia's API.

Provides speech recognition and synthesis tools via SaluteSpeech API, enabling AI assistants to handle voice input and output.

Local-first speech-to-text and text-to-speech MCP server. Hot-swappable engines via config.yaml — no code changes, no API keys required.

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 Connectome agents to interact through Telegram Bot API chats, including text and rich messages, voice transcription, photos and albums, attachments, topics, reactions, action keyboards, and callback-based decisions.

A self-hosted MCP server over Streamable HTTP that lets a voice assistant query production records, capture persistent shift handovers, and run container-load calculations against synthetic factory data. It enables plant managers and line operators to inspect and update shift state through natural language without any cloud dependency.

An MCP server that provides text-to-speech, speech-to-text, and voice management via ElevenLabs API.

Enables AI agents to perform comprehensive audio processing—stem separation, analysis, transcription, restoration, speech processing, and generation—through a unified self-hosted API with asynchronous jobs and webhooks.

Provides Text-to-Speech (TTS) functionality using Google TTS API, enabling audio generation, voice listing, and style templates via MCP.

Connects an AI coding session to WhatsApp through a linked device or the official Cloud API, enabling bidirectional messaging with full media support, voice transcription, group-specific personalities, and remote emoji-based approval or denial of tool requests. Inbound messages are gated by pairing codes, allowlists, and per-group policies so only trusted contacts reach the session.

Provides voice recognition and text extraction capabilities with support for both stdio and MCP modes, processing audio files or base64 encoded data and returning structured results with language, emotion, and speaker information.

Enables a Claude Code session to send and receive WhatsApp messages through either a linked-device pairing or the official Cloud API, including media, local voice-note transcription, and @-mentions. It also gates inbound chats with pairing codes, allowlists and per-group policies, and lets users approve or deny tool requests with an emoji reaction.

Enables driving a Claude Code session directly from WhatsApp, with bidirectional messaging, media and voice-note handling, transcription, allowlist-based access control, per-group personalities, cron tasks, and remote tool-approval via emoji reactions. Connects either as a linked device on a personal number or through the official WhatsApp Cloud API for business DMs, without API keys or Docker.

Enables a Claude Code session to send and receive WhatsApp messages from a linked personal account or the official Cloud API, including photos, voice notes and documents, with local voice transcription and allowlist-based access control. It also lets users approve or deny Claude's tool requests remotely by emoji reaction and keeps per-chat personalities, cron jobs and conversation context across restarts.

Enables real-time voice-to-text order processing and chicken business management through WebSocket connections and REST APIs. Supports inventory tracking, sales parsing, stock forecasting, and note collection with AI-powered transcript correction and structured data extraction.

Provides translation and language detection tools to AI agents, processing text, audio, and Google Meet recordings with emotional voice style preservation via Google's Gemini Live API.

Gives your AI a live, speaker-labeled transcript of the meeting or call happening right now, plus the ability to push advice into the meeting window and speak out loud on the Mac. Requires the VoxAI macOS app — the server reads and writes that app's local files, so tools only return real data on macOS.

Enables driving an AI coding session directly from WhatsApp chat — bidirectional text, media and voice-note messaging with local transcription, pairing-code/allowlist access control, per-group personalities, and tool-permission approval by emoji reaction. Connects either as a paired linked device or through Meta's official Cloud API, with no API keys or Docker required.

Enables voice robots to perform real-time web searches via the Xiaozhi platform and ZhipuAI API.

Barebones MCP server with a web-based voice interface, enabling spoken commands to trigger MCP tools via OpenAI function calling and Web Speech API.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Feedback ingestion for AI agents. Record your screen and talk; your agent does the rest — files the bugs, writes the spec, builds the backlog.