AI 機器學習 資源

An example of how to build an Agent that acts as an MCP Client, so that it can connect to external services via MCP.

go-modelcontextprotocol is a Go library that implements the Model Context Protocol (MCP). It provides a framework for building AI/LLM service backends with support for tools, resources, and various transport mechanisms.

A chatbot that can perform calculations using an MCP server and optionally use OpenAI's API for more advanced responses.

Collection of awesome AI source, including RAG, Agents, MCP etc

A quick multi-agent starter project. Try to integrate MCP & google search via ADK. The agent will provide the information from Netflix sample DB and public information from gogole search. Root agent will sequentially call sub agents to provide information.

chatlas provides a simple and unified interface across large language model (llm) providers in Python. It helps you prototype faster by abstracting away complexity from common tasks like streaming chat interfaces, tool calling, structured output, and much more. Switching providers is also as easy as changing one line of code, but you can also reach for provider-specific features when you need them. Developer experience is also a key focus of chatlas: typing support, rich console output, and extension points are all included.

FastAPI and React application for analyzing Slate Auto's electric pickup truck using LLM agents and vector databases. This tool provides insights on customer feedback, market reception, and competitor analysis.

Public APIMCP MCP AI

A Kotlin server application that analyzes GitHub repositories using AI models through the Model Context Protocol (MCP).

Data-sources useful for OpenAI to Z challenge wrapped into MCP servers and available for all.

MCO Project Implementation

Welcome to the ClaudeAI repository! This project allows you to automatically create articles using the powerful Anthropic Claude API. Whether you need content for blogs, reports, or any other written material, ClaudeAI simplifies the process, saving you time and effort.

A modern, responsive landing page for RizzMCP's AI-powered dating platform.

A customizable AI chat application powered by Flet.

This repository contains example implementations of the Model Context Protocol (MCP), a standardized way to provide context to Large Language Models (LLMs).

LLM Markdown MCP

2025 kortexa.ai

A Model Context Protocol (MCP) server implementation for TheCatAPI, allowing AI assistants to interact with cat images, breeds, and related data through the standardized MCP interface.

A Model Control Protocol server providing AI-enabled personal finance functionality.

A demonstration Model Context Protocol (MCP) server that exposes a variety of toolssome benign, some intentionally misbehaving. Use this server to explore edge-cases in tool registration, invocation, and dynamic behavior within an LLM context.

Learn ANN, CNN, RNN, GPT, MCP from Scratch

Make Claude / Cursor speak using MCP

SSI Stock Data MCP is a Model Context Protocol (MCP) server for get VietNam stock intraday data. It enables AI assistants and tools to query intraday data using SSI FastConnect API programmatically and securely.

MCP Manager acts as a bridge between Large Language Models (LLMs) and MCP servers. It allows you to interact with remote and local APIs using natural language prompts via supported chat completion APIs.

This is an MCP server that integrates with Cookie.fun's API to analyze social sentiment and engagement around cryptocurrency tokens on Twitter.

A Model Context Protocol (MCP) server for Cypress that enables AI systems to create, execute, and analyze automated tests for web applications through the Model Context Protocol (MCP).

This project is an MCP (Multi-Agent Conversation Protocol) Server for the given OpenAPI URL - https://api.apis.guru/v2/specs/googleapis.com/ml/v1/openapi.json, auto-generated using AG2's MCP builder.

A powerful interface for extending AI capabilities through remote control, calculations, email operations, knowledge search, and more.

This is an intelligent red team assistant using large language models with MCP and RAG architecture. It aims to help users perform penetration testing tasks, query security information, analyze network traffic, and more through natural language interaction.

A Model Context Protocol (MCP) server that provides basic mathematical and statistical functions to Large Language Models (LLMs). This server enables LLMs to perform accurate numerical calculations through a simple API.

mcp_research_manager provides an end-to-end research process pipeline that automates and standardizes various tasks. It utilizes the MCP (Model Context Protocol) schema to structure step-by-step interactions with an LLM (e.g., ChatGPT), enabling a consistent interface for research tasks such as question generation, experiment design, code authoring, execution, analysis, paper drafting, comparison, and review.

AskAnything AI

An MCP (Model Context Protocol) server for working with USD (Universal Scene Description) and NVIDIA Omniverse. This server enables AI assistants and other clients to create, manipulate, and analyze USD scenes through a standardized API.

A framework for building and deploying AI agents with Model Context Protocol (MCP) on the agentverse ecosystem.

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An MCP (Model Context Protocol) server that provides audio input/output capabilities for AI assistants like Claude. This server enables Claude to interact with your computer's audio system, including recording from microphones and playing audio through speakers.

Important

This repository is a playground for learning and experimenting new ideas in MCP using Spring AI

Workbench Development is a new paradigm, which puts the developer as a leader of a fleet of AI Agents to write code, but in a structured manner that gives them full control over the outcomes.

The Joomla MCP (Model Context Protocol) Server enables AI assistants, such as Claude, to interact with Joomla websites via the Joomla Web Services API. It provides tools to manage articles using an AI assistant.

A comprehensive collection of free resources to learn everything about AI, LLMs and AI Agents.

This project provides a minimal Model Context Protocol (MCP) server that exposes a set of Sarvam AI language and speech tools as callable functions. The server is designed for easy integration and experimentation with Sarvam's capabilities via the MCP interface.

Welcome to MCP Lab, a collection of projects, demos, and experiments using Model Context Protocol (MCP). This repository serves as a playground to explore the power and versatility of MCP in connecting AI models to external tools, data sources, and services.

A visually rich and interactive walkthrough showcasing how MCP (Memory-Context Processor) transforms multi-turn decision-making and contextual reasoning, using the classic party game Codenames as a practical example.

mcp-client Model Context Protocol (MCP) AIMCPAI

This is a Model Context Protocol (MCP) server for Adobe Express integration with LLMs like Claude. It provides tools to interact with Adobe Express features directly from LLM interfaces.

This project demonstrates a Next.js application with an integrated AI agent powered by CopilotKit and Model Context Protocol (MCP).

Model Context Protocol server for Wuolah student outreach and content management. This tool enables Claude to interact with the Wuolah platform to post content, send messages, and find students in AI/ML programs.

This project is an agentic chatbot client that can use external tools (such as SQLite and Puppeteer servers) to answer user queries, automate workflows, and perform multi-step reasoning. It features both a command-line interface and a modern Streamlit web UI. The chatbot is powered by an LLM (via Groq API) and can chain tool calls, passing outputs from one tool as inputs to the next.

Build, Run, and Chain Custom Tool-Augmented LLM Agents.

A customizable Reddit AI agent that uses the Reddit MCP server to interact with Reddit.

A Model Context Protocol (MCP) server that converts any OpenAPI/Swagger specification into an MCP server, allowing Large Language Models (LLMs) to interact with REST APIs through a standardized interface.

A comprehensive implementation of Google's Agent-to-Agent (A2A) framework using Model Context Protocol (MCP) tools. This project showcases the interoperability between different AI agents and demonstrates practical applications of modern AI agent architectures.

OfficeMCP server is designed for AI to automate Microsoft Office Applications (Word, Excel, PowerPoint, Access, OneNote, Visio, Project, WPS.word, Wps.powerpoint, wps.excel etc.) by COM interface in Windows OS. Not working on Linux/MacOS.