A two-stage AI dialogue service that combines DeepSeek inference and Claude generation

An implementation of a local proxy server and client based on the MCP platform, integrating multiple AI tool functions such as weather query, Google search, camera control, image generation, and intelligent dialogue, supporting modular expansion and high-performance concurrent processing.

An Asterisk - based voice - dialogue automated phone call MCP server that supports real - time voice - to - voice function and provides a complete phone automation solution.

The Spring AI MCP client is a chat application based on Spring AI and Anthropic Claude/OpenAI models, which interacts with the server through the MCP protocol and supports AI-driven dialogue functions.

SmartMemory is an MCP server that provides structured memory for LLMs. It converts conversation content into knowledge graphs through natural dialogue, enabling AI assistants to learn and apply business rules.

The RevitMCP project introduces natural language interaction capabilities to Revit, realizes BIM modeling automation through the MCP protocol, adopts a hierarchical architecture design, supports multi - turn dialogue and parameter completion, and significantly improves modeling efficiency.

The AutoGen MCP server is a multi - agent dialogue service integrating the Microsoft AutoGen framework, providing standardized interfaces for AI agent management and collaboration.

Speech MCP is a voice interaction extension designed for Goose, providing real-time voice recognition, high-quality text-to-speech, multilingual support, and a modern audio visualization interface. It supports multi-character dialogue generation and audio transcription functions.

An intelligent e-commerce dialogue agent system based on reinforcement learning, integrating ontology reasoning, business toolchains, dialogue memory, and a Gradio interface. It realizes closed-loop learning from data to training and then to deployment through the Stable Baselines3 PPO algorithm, and can autonomously optimize the decision-making strategy of the shopping assistant.

This is an MCP server that enables local AIs to obtain guidance from remote AIs. It supports multi - turn dialogue, file upload, and intelligent dialogue management, and is specifically optimized for the GLM-4.7 model.

A server based on Model Context Protocol, packaged with the official Grok CLI tool, provides MCP clients with the ability to access Grok AI models, supporting three tools: query, dialogue, and code generation.

A Flutter - based HTN planning system that enables visual modeling and management of complex tasks through AI dialogue

The BrianKnows MCP server is a protocol service that connects Claude to the blockchain knowledge base, providing functions such as API status detection, blockchain information search, and intelligent agent dialogue.

Kash MCP Server is a server that complies with the MCP protocol and can connect AI assistants such as ChatGPT and Claude to the cash register system, enabling the management of sales, orders, products, and report generation through dialogue.

Interactive chat application for former principals of Sydney Grammar School, integrating video playback and AI dialogue functions

A local proxy server and client implementation based on the MCP platform, integrating the ability to call multiple AI tools such as weather query, Google search, camera control, AI image generation, and intelligent dialogue, supporting cross-platform operation and modular expansion.

An MCP server based on iRacing telemetry data, providing real-time racing advice, vehicle identification, telemetry analysis, and racing data dialogue interaction functions

The MCP service is connected to the inBox note API to realize the function of creating notes in the MCP client through dialogue, supporting title setting and debugging tools.

MCP is an intelligent dialogue platform server that provides role-based AI advisor services, supports multiple LLM suppliers, semantic memory management, and real-time streaming response, and is suitable for scenarios such as business consulting and technical support.

This project uses the Quarkus framework and the Model Context Protocol (MCP) to implement an intelligent agent application based on multiple MCP servers. It combines LangChain4j to provide functions such as AI dialogue, restaurant recommendation, and Slack notification, and supports deployment in development and production environments.

A web - based dialogue agent based on multiple large language models (such as Google Gemini, Anthropic Claude, etc.), which implements multi - step tool execution through the Vercel AI SDK and can interact with external services (such as WhatsApp, GitHub, etc.).

The Omilia cloud platform toolset contains practical tools for managing mini - apps, orchestration applications, and dialogue logs.