"Using Logseq data as context for chat applications" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Your AI rings your iPhone, speaks its question, and gets your spoken answer back as text.
APICK Korean data, simple-auth lookups, OCR, search, conversion, image, video and TTS
Pay-per-call summarize, Solana data, TTS, and brand feedback via api.bilbop.org.
Free IELTS prep: band-scored student essays and interactive Listening/Reading drills graded in-chat.
Your AI rings your iPhone, speaks its question, and gets your spoken answer back as text.
Text to speech for your AI. Your AI can send text to Doc Player to read it aloud. You will see a reader window with the text and you can control the playback sentence by sentence. Find an example here: https://documentplayer.com/connect-ai/
- AudexumOAuthcom.audexum
Text to speech and transcription for any AI model: MP3 voiceovers, audio and YouTube to text.
Pronunciation scoring, speech-to-text, and text-to-speech for language learning
Hosted MCP for speech cleanup. Remove noise, filler words, and dead air. Also cut, join, transcribe, and TTS. Sign in with a CleanAudio account. No API key. Endpoint: https://mcp.cleanaudio.app/mcp This is cleanaudio.app, not cleanaudio.io.
MCP server for Text-to-Speech
The Listenetic MCP server is a remote, cloud-hosted server that enables AI assistants like ChatGPT and Claude to convert articles, documents, websites, and videos into high-quality AI-generated audio. It provides multi-format support for text and binary files, natural-sounding text-to-audio conversion using AI, and specialized processing for SSML, markup, markdown, and various media formats through three core tools: listentic_supported_mimetypes, listentic_add_content_text, and listentic_add_content_binary.