"Python Object-Oriented Programming Resources" matching MCP servers:

A Windows-native MCP server that lets Claude Desktop transcribe audio files locally using whisper.cpp, with no internet connection required.

A Python-based server that provides access to Whissle API endpoints for speech-to-text, diarization, translation, and text summarization.

Provides various AI capabilities through DeepInfra's OpenAI-compatible API including image generation, text processing, embeddings, speech recognition, object detection, and classification tasks. Enables users to access multiple AI models for diverse tasks like generating images from prompts, transcribing audio, analyzing text sentiment, and performing computer vision operations.

Enables MCP-compatible clients to leverage OpenAI's multimodal capabilities (vision, image generation, speech-to-text, text-to-speech) through file-oriented tools with a security-first architecture.

Turns a YouTube video or allowlisted local video into a timestamped transcript, chronological timeline, and retrievable image resources for transparent media preprocessing.

A portable, Dockerized Python tool that implements Model Context Protocol for audio transcription using Whisper models, featuring both CLI and web UI interfaces for converting audio files to JSON transcriptions.

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.

Enables control of Spotify playback, music search, and playlist management through natural language commands. Available in both Python and Vercel implementations with comprehensive OAuth2 authentication and device management.

Enables comprehensive Spotify integration through natural language commands, supporting playback control, music search, playlist management, and device control. Available in both Python and cloud-deployable JavaScript implementations.