🤖 AI与机器学习 AI 工具

Documentation and examples of Model Context Protocol (MCP) use cases and applications

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连接Moltbook代理社交网络，支持发帖、回复、浏览与互动数据分析，帮助用户进行日常社区运营与增长。

Real-time conversational chatbot using Streamable HTTP, Semantic Kernel, and Azure OpenAI to discover and serve food recipes via an MCP server.

ChatMCP is an MCP Client

为AI赋予基于记忆的动态情感系统，情感随对话演变、会话间自然衰减，并通过自校准持续进化，打造有温度的Agent人格。

Gemini Image Generator MCP Server

X-MCP-Ctrl enables control of X using LLM agents in apps like Claude.

A Python app using Chainlit for interacting with Large Language Models.

MCP Server Inference project for running and testing inference models.

AI-powered medical education assistant for African students. First MCP integration with African telecoms (MTN, Airteltigo) for data bundles, SMS notifications, and intelligent study reminders. Natural language interface supports English, Pidgin, Twi, and Swahili. Scrapes WHO, CDC, PubMed for disease info and generates personalized quizzes.

MCP Greeting Server offers time-aware, multilingual greetings across timezones.

A smart home device agent app supporting MCP for chatbot operations.

(BACKEND )An MCP-compatible vector search server built in Go, powered by Pinecone and OpenAI.

Sample showing how to use the Box MCP hosted server with Anthropic's Messages API

MCP Server enables role-based context management for AI agents.

A Python app using Chainlit for interacting with Large Language Models.

Enhances LLM agents with a Model Context Protocol layer for contextual reasoning and structured task execution. Includes agents that interact with semantic technologies (e.g. RDF, OWL, SPARQL), enabling hybrid symbolic-neural workflows.

MCP server for my counsellor chatbot

OpenAI MCP Server offers secure access to GPT-5.2 via AWS Lambda with full MCP support.

🎙️ MCP Speech-to-Text Server with Enhanced Cantonese Support | Offline Vosk + Online Google Cloud | Auto-detection for zh-HK | n8n workflows | Hong Kong optimized 🇭🇰

MCP_RAG enables AI clients to access a private knowledge base with RAG capabilities.

🧠 Advanced Memory System for Claude Desktop - MCP Server with CosmosDB, RAG, and intelligent entity extraction

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将YouTube视频自动转换为结构化、可复用的AI技能文件,支持创作者归属,让AI智能体快速获取和应用视频知识。

Hands-on workshop teaching LLMs temporal awareness using MCP.

sentiment analysis application

MCP-CHAT-AI is an LLM application integrated with various MCPs.

This is MCP version of AgentEval project

The multichat MCP server enables simultaneous communication with multiple unichat MCP servers for enhanced responses.

Keyphrases-MCP extracts keyphrases from text using a natural language interface.

Learn to build context-aware AI apps using MCP with Anthropic.

MCP server for asynchronous video generation using AWS Bedrock.

A collection of MCP servers for integrating computer vision with language models.

基于Palantir本体论的自进化Skills协同中枢,集成结构化知识图谱、规则引擎、科学推理与跨Skill协调能力,支持动态学习与智能路由。

基于PostgreSQL+pgvector+OpenAI嵌入的向量记忆引擎，支持存储、语义搜索并自动将上下文记忆注入LLM提示词，赋予AI长期记忆能力。

# MCP server for Gemini AI image processing - Image processing MCP service based on Gemini 2.5 Flash

Give your AI agents super-vision: blazing-fast macOS screenshots, smart window targeting, and local or cloud AI image analysis—all via a friendly Node.js MCP server.

A simple DeepSeek MCP client demo using OpenAI Python SDK.

A multi-turn dialogue example using chainlit and MCP for educational purposes.

The MCP server offers benchmarking tools for LLM APIs, measuring generation speed, prompt throughput, and TTFT across different concurrency levels.

# Knowledge Retrieval Injection Context Configuration for Multiple MCP Serves

A memory management system specifically designed for AI assistants, implementing a complete Model Context Protocol (MCP) server to help AI assistants store, retrieve, and manage important information about users.

基于Google Veo 3.1的AI视频生成工具,支持1080p高清输出、参考图像指导和智能音频生成,为内容创作提供一体化解决方案。

🇰🇷 Advanced Gemini MCP Server v4.0.0 - Official Release Repository

# 2025 Embracing Agent + MCP

专为安防摄像头视频设计的智能标注工具。自动提取关键帧,生成环境/人物/行为/风险结构化标注,直接输出JSONL格式训练数据,加速VL模型微调流程。

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针对OpenClaw+Ollama的中文记忆系统优化方案。修复FTS5分词bug,优化搜索参数,自动维护记忆库,将记忆命中率从55%提升至100%。

Custom LibreChat deployment with MCP servers for production use