"Air Canada" matching MCP servers:

MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.

High-quality speech-to-text transcription using Zhipu AutoGLM ASR, supporting long audio chunking, context-aware modes, and timestamp segmentation.

Enables AI agents to transcribe, translate, and summarize audio via Zoom AI Services APIs, providing an 'ear' through tools like transcribe_audio, summarize_transcript, and translate_text.

Enables AI agents to synthesize natural speech using either platform system voices or premium OpenAI TTS, with automatic engine selection and graceful fallback.

Enables interaction with Retell AI's voice and chat agent platform. Build, deploy, and manage AI phone agents, configure conversation flows, handle calls/chats, and manage phone numbers through natural language.

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 AI agents to make real outbound phone calls to US/Canada numbers, handle conversations, and return transcripts and recordings via the Model Context Protocol.

Enables MCP clients to place real phone calls to businesses in the US and Canada, navigating phone menus, waiting on hold, asking the agent mid-call for information, and returning structured answers with transcripts. Supports booking, quotes, cancellations, and multi-business calls in parallel.

Enables AI agents to provision phone numbers, send SMS, place AI voice calls, and react to inbound events via the Dial communication stack, all through MCP tools.

MCP server for Mistral AI providing OCR, TTS, and STT capabilities via Voxtral.

Enables users to log meals, retrieve daily nutrition summaries, receive nutrition recommendations, and resolve ambiguous food entries through standardized MCP tool calls. It supports voice-driven macro tracking and conversational disambiguation for Alexa+ and other MCP-compliant agents.

A zero-cost, China-accessible MCP server providing four free AI capabilities: text chat, image generation, speech-to-text, and text-to-speech, ready to use after cloning.

Minimal MCP server for local speech recognition using faster-whisper. Runs on CPU, no cloud required.

Enables decoding of acoustic signals such as fundamental frequency, speaking rate, jitter, and pause ratio together with semantic sentiment to infer high-dimensional emotional states and emit real-time expressive TTS prosody directives. It runs as a zero-dependency JSON-RPC 2.0 MCP server over stdio, exposing these capabilities as callable tools.

Exposes an MCP tool that fuses acoustic prosody measurements (F0, speaking rate, jitter, pause ratio) with semantic sentiment to infer high-dimensional emotional states from speech. Returns tone, speaking-rate multiplier, and pitch-shift directives so agents can drive real-time expressive TTS modulation through JSON-RPC over stdio.

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

Integrates with Claude and Cursor using the Model Context Protocol to generate voice audio from text using Resemble AI's voices.

MCP server for transcribing audio and generating structured customer requirement meeting minutes (including flowcharts) using Whisper and AI backends, with export to md/html/pdf/docx and model/settings management.

Enables AI coding agents like Cline to analyze video, audio, PDFs, and images by sending files to OpenRouter's multimodal models. It also provides a CLI and Python module for media analysis, with support for time-range trimming, PDF OCR, and multiple models.

MCP server for interacting with Yandex Cloud AI Studio, enabling chat, text generation, image generation, speech recognition/synthesis, embeddings, classification, search indexes, and AI agent creation with function calling.