An MCP server built on Spring AI, providing query functions for SpringOne conference agendas and speaker information, and supporting AI models such as Claude to access real - time conference data.

An MCP server based on Spring Boot that provides an AI access interface to Spring I/O 2025 conference data, including structured data such as speeches, workshops, and speaker information.

This project provides an MCP service for Google Developer Experts (GDEs) to conveniently report activities through an AI conversation interface. It supports the submission of various activity types such as content creation, public speaking, and workshops, simplifying the activity reporting process in the GDE project.

An MCP server that supports voice interaction with LLMs such as Claude. You only need an OpenAI API key and a microphone/speaker to have a real-time voice conversation.

The MCP Speaker Diarization and Recognition System is a complete solution integrating GPU-accelerated speaker separation, speech recognition, emotion detection, and a web interface. It combines the speaker separation of pyannote.audio with the faster-whisper transcription technology, supporting persistent speaker recognition (one-time registration, permanent recognition), dual-detector emotion analysis (combining general AI and personalized voiceprints), real-time stream processing, REST API, and MCP server, and is designed for AI intelligent agent integration and hobby projects.

This is an MCP server project integrated with the VOICEVOX engine, providing speech synthesis and speaker information retrieval functions, and supporting local voice playback on Mac.