🤖 AI与机器学习 AI 工具

Comprehensive Model Context Protocol client enabling AI applications to connect with external tools and services. Features streaming support, multiple LLM integrations, and modular architecture for seamless AI-tool communication.

Guía paso a paso para crear y orquestar agentes IA con arquitectura MCP usando Python, FastAPI y LLMs — de cero a experto.

将LLM请求优先路由至本地模型（Ollama/LM Studio等），失败时自动回退云端API，并持久化追踪token用量与成本节省。

MCP-Turkish-Sentiment-analysis provides sentiment analysis for Turkish text via Gradio.

通过任务分割和多Agent并行调度,实现高效的批量任务编排执行。支持动态工作流和故障恢复机制。

集成PubMed和Semantic Scholar的AI文献检索助手,自动生成结构化摘要、追踪引文关系、获取开源PDF,加速科研文献综述效率。

AI Agent Integration with MPC tools

smart mcp router to save context decay

MCP integrates Ollama AI and Redis Vector DB for multi-agent control, deployed via Kubernetes.

An enhanced MCP client with Google Gemini for intelligent orchestration.

IVA_MCP is an Intelligent Video Analytics Server providing API for video data analysis.

Super-Lang-Agent: A backend using LangChain and LangGraph for MCP integrations.

A minimalistic FastAPI MCP server example using Chroma DB.

AgentGo MCP Service provides secure authentication and data queries for AI agents.

A FastAPI-powered Pokémon battle simulator that follows the Model Context Protocol (MCP). PokéClash fetches real-time Pokémon data, simulates turn-based battles with type effectiveness and status effects, and returns structured MCP-compliant responses — complete with dynamic frontend visuals

Ai Foundry AI Agent MCP Server Example

Official ElevenLabs MCP server for interactive model context protocol.

跨OpenAI、Anthropic、Google等多个AI厂商的支出追踪仪表板。实时展示各厂商成本分解、模型级消耗、预算告警和浪费检测,帮助企业优化AI投入。

Production-ready Model Context Protocol server for comprehensive agent memory management with Docker deployment, multi-database architecture, and GitHub OAuth authentication

A beginner's guide to agentic artificial intelligence using Claude code subagents, skills, tools, and MCP servers. This repository will house a completed project and everything needed for a new user to develop their first agentic AI team.

🧠 LLM Validation Platform: Advanced testing frameworks with DeepEval, Playwright MCP, OpenLLMetry observability, Neo4j knowledge graphs, and Burr+pytest TDD workflows

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MCP Server connecting AI assistants to Limitless AI lifelog data for personal memory access.

NexusHub is a powerful Model Context Protocol (MCP) server that functions as a central connection point for AI workflows and tool integration.

Model Context Protocol server for image handling

为OpenClaw快速配置MiniMax模型源，支持API Key和OAuth双接入方式，包含完整的provider注册、模型定义、别名配置和fallback链路

This project provides an MCP (Model Context Protocol) server for integrating with Azure AI Agent Service.

Ichiro-Mind是AI智能体统一记忆系统,采用HOT-WARM-COLD-ARCHIVE四层架构,集成神经图谱、向量搜索和经验学习能力,支持长期记忆管理和智能检索。

AITuberKit Documentation MCP server for document search with SSE and Streamable HTTP.

A simple chat bot that demonstrates the usage of News MCP (https://github.com/skydockAI/news_mcp)

MCP server for conversation context preservation using extraction-based approach

MCP server for computer vision using Ollama's local vision models

BondMCP is a Health AI API platform for developers to analyze health data.

# Agent MCP Server Community

AI Workflow Continuity System - Remote MCP Server for Claude.ai

MCP Server enables smart home device control via Model Context Protocol.

Bridges the "black box" problem by creating a formal, inspectable decision layer. Each decision traces to explicit logical operations - no hidden states. Leverage NN perception while maintaining human-interpretable decision logic.

Model Context Protocol (MCP) is an open communication framework that allows AI models like Claude to interact with external tools. This enables Claude to access real-time data, process files, and interact with external services - capabilities not available to most LLMs out of the box.

MCP Server for generating images using Black Forest Labs API and FLUX models.

A powerful research assistant built using the Model Context Protocol (MCP) that helps users search, analyze, and organize academic papers from arXiv.

This is a minimal demonstration project for the Model Context Protocol (MCP) — a simple standard for exchanging model context between clients and servers. It is designed to be easy to understand, lightweight, and practical for integration with OpenAI-compatible clients.

This repo consists of basics of connecting MCP server to an Agent via langchain-mcp-adapter. A project for stock recommendation via multi agent system is also here.

Mem0MCP: A memory layer for personalized AI applications.

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MultiMind-MCP-server enables AI agents to collaboratively refine ideas through debate.

MCP Example: A FastAPI-based server for query processing using Serper and OpenAI.

Duck MCP is a simple server for Model Context Protocol with tools for user interaction.

为AI智能体提供持久化可搜索记忆,支持实时捕获、向量检索和每晚LLM自动整理,完全本地部署无云依赖。

Code for the workshop From Intelligent to Agentic Apps: Using MCP to Support Agentic Behaviors in Your Applications

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