AI 机器学习 资源

ssh-mcp is a simple, secure, and structured CLI tool that enables AI agents and developers to execute JSON-based commands over SSH using the Model Context Protocol (MCP).

A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.

A Vite plugin that creates an MCP server to help LLMs understand your React App context

Leverage the MCP in LLM

This is a simple MCP client that uses the Ollama API to get the latest MCP data.

MCP AI AI Google CalendarNotionLINESlack

A powerful Model Context Protocol (MCP) server that provides AI assistants with the ability to generate images using Black Forest Labs' Flux model via a Cloudflare Worker API.

(MCP - Model Context Protocol) (LLM) MoviePilot

Model Context Protocol (MCP) is a standardized protocol for managing context between large language models (LLMs) and external systems.

Shippie uses Large Language Models to review code in your CI/CD pipeline. It should pick up on common issues such as:

: ()[2024.12.10]ClaudeMCP()LLMClaude DesktopOpenAI :MCPMCP,LLM(OpenAI)MCP https://www.bilibili.com/video/BV1HBquYbE7t/ https://youtu.be/Jmo7rgb_OXQ ()[2024.12.12]Claude MCPText2SQLLLMClaude DesktopOpenAI :MCPLLMText2SQLMySQL https://www.bilibili.com/video/BV1ELq4YME8T/ https://youtu.be/yaLAqEMz45A ()[2024.12.12]Claude MCPClaude DesktopOpenAI :MCPMCPText2SQLMySQL https://www.bilibili.com/video/BV1oNqaYJEUy/ https://youtu.be/tG-ZjOgrcSA ()[2024.12.23]DuckDuckGoFetchMCPGPTOllama :MCPMCPText2SQLMySQL(DuckDuckGo) https://www.bilibili.com/video/BV1SckXY3E6S/ https://youtu.be/9pzS9saNcGA

A powerful companion tool that enhances AI collaboration in Cursor IDE through structured memory management and project context.

QBIC is a next-generation agent orchestration framework that enables intelligent agents to control and coordinate actions across creative and technical tools in real time using the Model Context Protocol (MCP).

A command-line interface (CLI) client built with Python to interact with servers implementing the Model Context Protocol (MCP). This client uses Google's Gemini models for natural language understanding and interaction, enabling it to leverage tools exposed by connected MCP servers via function calling.

A Model Context Protocol (MCP) server for managing Memory Banks, allowing AI assistants to store and retrieve information across sessions. Now with remote server support!

Model Context Protocol (MCP)ComfyUIAPIComfyUI

A JupyterLab extension for Chat with AI supporting Model Context Protocol (MCP). This extension integrates AI and provides interactive tool usage capabilities through MCP servers.

A robust workflow designer and router for agent-based systems.

This is the repository for the LinkedIn Learning course Model Context Protocol (MCP): Hands-On with Agentic AI. The full course is available from LinkedIn Learning.

Code for the presentation, "Discover the power of MCP".

This is a Model Context Protocol (MCP) server implementation for the Spiral API using Python. It provides a standardized interface for interacting with Spiral's language models.

Model Context Protocol (MCP) is a protocol designed to establish a communication channel between large language models (LLMs) and external tools or data sources. It follows a client-server architecture and uses JSON-RPC 2.0 for messaging. Although MCP was introduced only a few months ago by Anthropic, it has quickly gained significant attention in the AI community. In the sections below, Ill explain the MCP specification and provide some Python examples.

A Model Context Protocol (MCP) implementation that helps users find recipes based on their available ingredients and dietary restrictions.

Connect your local LLM to real-world tools, knowledge bases, and APIs via MCP.

This repository contains examples and demonstrations of the Model Context Protocol (MCP), a standardized way for applications to provide context to Large Language Models (LLMs).

A proposal and code for websites to support client side LLMs

This work participates in Nvidia AI City Challenge CVPR 2018 Workshop.

Allows AI assistants to find and read papers, as well as view related code repositories for further context.

An MCP (Model Context Protocol) server implementation for generating images using Replicate's black-forest-labs/flux-schnell model.

A Model Context Protocol server that retrieves relevant code snippets or documents to help generating pymilvus code.

A comprehensive, asynchronous client for the Model Context Protocol (MCP). It bridges the gap between powerful AI models like Anthropic's Claude and a universe of external tools, local/remote servers, and contextual data sources, enabling complex, stateful interactions.

A powerful desktop client for interacting with Mistral Large Language Models (LLMs)

A ModelContextProtocol server that enables AI assistants to interact with Figma files. This server provides tools for viewing, commenting, and analyzing Figma designs directly through the ModelContextProtocol.

This project provides a REPL to interact with a MongoDB instance using natural language, powered by LangChain.js MCP Adapter, LangGraph agent and Azure OpenAI.

MCP-Soccerdata is an open-source Model Context Protocol (MCP) server that connects to the SoccerDataAPI to deliver up-to-date football match information via natural language interactions.

MCP server for Synthesizer V AI Vocal Studio, which allows LLMs to create/edit vocal tracks e.g. adding lyrics to the melody.

emcee is a tool that provides a Model Context Protocol (MCP) server for any web application with an OpenAPI specification. You can use emcee to connect Claude Desktop and other apps to external tools and data services, similar to ChatGPT plugins.

This tutorial demonstrates how to integrate Model Context Protocol (MCP) servers with Langgraph agents to create powerful, tool-enabled AI applications. The project showcases a data science assistant named Scout that can help users manage their data science projects using various MCP-powered tools.

llms.txt is a website index for LLMs, providing background information, guidance, and links to detailed markdown files. IDEs like Cursor and Windsurf or apps like Claude Code/Desktop can use llms.txt to retrieve context for tasks. However, these apps use different built-in tools to read and process files like llms.txt. The retrieval process can be opaque, and there is not always a way to audit the tool calls or the context returned.

This Streamlit application provides a user interface for connecting to MCP (Model Context Protocol) servers and interacting with them using different LLM providers (OpenAI, Anthropic, Google...).

A powerful and efficient RAG (Retrieval-Augmented Generation) implementation using GroundX and OpenAI, built with Modern Context Processing (MCP).

An MCP (Model Context Protocol) server that enables running Bruno collections. This server allows LLMs to execute API tests using Bruno and get detailed results through a standardized interface.

This project empowers you to effortlessly build powerful LLM tools and agents using familiar languages like Bash, JavaScript, and Python.

An MCP server implementation supporting OpenAI and Mistral using the Vercel AI SDK.

API Daum API Model Context Protocol(MCP) . AI Daum .

A Model Context Protocol (MCP) server for managing Netskope Network Private Access (NPA) infrastructure through Large Language Models (LLMs).

Este proyecto, desarrollado para una hackathon, demuestra la creacin de un agente conversacional inteligente capaz de interactuar con un sistema ERP Odoo (especficamente una instancia alojada en Odoo.sh) para realizar tareas clave del flujo de ventas de la empresa ficticia "QuindColor".

Run Model Context Protocol (MCP) servers in E2B's sandbox environment

This repository contains the implementation of the MCP (Model Context Protocol) system, which enables AI agents to interact with various tools and services through standardized interfaces.

Simple demo gluing together MCP with Symfony and LLM Chain - heavily inspired by @lyrixx MCP blog post.

PromptPilot is an AI - powered web application designed to assist users in generating and enhancing prompts for various generative AI models. It offers a quick generation feature for simple needs and a unique conversational guide (Masterful Prompt Creator) for crafting high - quality, detailed prompts. This repository contains the codebase for PromptPilot.

Developed by Fbio Ferreira (@fabiomlferreira). Check out dotcursorrules.com for more AI development enhancements.

Atlas is an opensource collection of AI agents built with SmolAgents and PydanticAI that supercharges your workflows with agentic dataanalysis superpowers. Think of Atlas as your autonomous datascience teammate that can read your datasets, run analytical recipes, and surface insights through naturallanguage conversations.

Inspired by mcp-openai-gemini-llama-example.

Welcome to the Essential MCP workspace! This is where Hue and Aye collaborate to create amazing MCP implementations. We're building a suite of tools that make AI-human interaction more powerful, contextual, and fun!