"Creating a voice AI for making outbound calls via SIP telephony" matching MCP servers:

Enables LLM applications 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 customizable voice parameters.

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 AI assistants to search and read official news from the Luxembourg government press service (SIP) with tools for keyword search, semantic search, browsing latest news, and fetching full articles.

Enables users to turn live NIFTY 50 market data into SIP step-up, pause, or continue recommendations based on valuation and trend analysis.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.

Enables AI agents to place VoIP phone calls via Asterisk, play TTS messages, capture DTMF input, and optionally record and transcribe voice responses.

Local voice and AI platform for macOS offering speech recognition, speech synthesis, MLX-based inference, OpenAI-compatible APIs, and MCP tools for use as an assistant or integration gateway.

Adds voice conversation capabilities to AI agents via MCP, enabling local speech recognition and synthesis with tools like speak, listen, and ask_by_voice for interactive voice interactions.

MCP server for Vietnamese text-to-speech with voice cloning, 10 built-in voices, text normalization, and long-form queuing, running 100% locally.

MCP server enabling AI companions to deliver authored inner monologues alongside replies via atomically submitted batches.

Multi-engine text-to-speech for AI coding assistants. Speaks responses aloud from Claude Code, Cursor, or VS Code via a Claude Code plugin, MCP server, or CLI pipe.

Enables bidirectional voice interaction for Claude Code using local speech-to-text and text-to-speech models optimized for Apple Silicon. It provides tools to listen to user speech via microphone and speak responses aloud through system speakers.

Transcribe voice messages to text and generate spoken audio from text, served as cached Ogg/Opus files for instant playback.

Enables a voice-enabled AI assistant to call 7 built-in MCP tools including calculator, web search (DuckDuckGo), weather (wttr.in), date/time, and local file read/write/list operations, integrating with Gemini 2.0 Flash for tool-calling conversations.

Enables voice interaction with Claude Code through local speech-to-text (Whisper) and text-to-speech (Supertonic), allowing verbal input/output without external API calls.

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.

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

Automatically transcribes Google Chat voice messages using Groq Whisper API, and also supports local audio file transcription.

Provides voice notifications using Grok's text-to-speech API to alert users when Claude Code completes tasks, with support for both local and remote server configurations.