AI・機械学習リソース

Autonomous shell execution, computer control and coding agent. (Mac)

Build effective agents with MCP servers using simple, composable patterns.

Provides MCP tool calling support in LangChain, allowing for the integration of MCP tools into LangChain workflows.

A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).

Un agent de codage complet utilisant des serveurs de langage.

Un serveur DeepSeek pour terminal.

Things related to artificial intelligence operating on top of other Nasdanika capabilities. Specifically, operating on top of resource sets - collections of interconnected models. Models and resource sets abstract AI components from low level implementation details.

An AI-driven MCP server that autonomously interfaces with Malware Bazaar, delivering real-time threat intel and sample metadata for authorized cybersecurity research workflows.

This is an MCP server for Attio, the AI-native CRM. It allows mcp clients (like Claude) to connect to the Attio API.

Model Context Protocol (MCP)promptCline/Cursor/Windsurf...prompt(tools)CursorWindsurf

An Open Source Cross-platform GUI Desktop application compatible with Linux, macOS, and Windows, enabling seamless interaction with MCP servers across dynamically selectable LLMs, by AIQL

Query and Summarize chat messages with LLM. by mcpso

A Model Context Protocol server for document Q&A powered by Langflow. It demonstrates core MCP concepts by providing a simple interface to query documents through a Langflow backend.

This MCP provides relevant commands, documentation, and other information to allow LLMs to take full advantage of Starwind UI's open source Astro components.

The Wanaku MCP Router is a SSE-based MCP server that provides an extensible routing engine that allows integrating your enterprise systems with AI agents.

A collection of MCP clients&servers to find the right mcp tools by Hekmon

MCP REST API and CLI client for interacting with MCP servers, supports OpenAI, Claude, Gemini, Ollama etc.

The DX MCP Server is a Python-based tool that empowers AI applications, such as Claude for Desktop and Cursor, to interact with your Data Cloud database. The server runs locally and establishes a connection to the inputted Postgres database, which can be configured on DX's DB Users settings page. A query tool is exposed to the MCP client application, allowing the AI to actively formulate and execute queries on the database. Click here to learn more about MCP.

This project is a simple Node.js implementation of an MCP (Model Context Protocol) server. It allows AI assistantslike Claude or other LLMsto call custom tools (e.g., via /call) over HTTP using a standard JSON-based interface.

This repository contains a list of publications I have authored or co-authored about Artificial Intelligence, Generative AI, Machine Learning, etc.

A Model Context Protocol (MCP) server implementation for programmatically generating videos using the json2video API. This server exposes powerful video generation and status-checking tools for use with LLMs, agents, or any MCP-compatible client.

MCP server to connect users with compatible companions for romantic and emotional relationships using AI-powered vector matching.

This project demonstrates a multi-agent system designed for tasks like article drafting and web research. It features a custom Agent-to-Agent (A2A) communication protocol for inter-agent coordination and a Model Context Protocol (MCP)-inspired architecture for interacting with external tool servers. The system is built using Python, Langchain, Anthropic LLMs, FastAPI, and Docker.

A Model Context Protocol (MCP) server that enables AI assistants to get human input when needed. This tool creates tasks on Amazon Mechanical Turk that let real humans answer questions from AI systems. While primarily a proof-of-concept, it demonstrates how to build human-in-the-loop AI systems using the MCP standard. See limitations for current constraints.

The Advanced Scientific Research (ASR) Graph of Thoughts (GoT) MCP server is a highly efficient implementation of the Model Context Protocol (MCP) that allows for sophisticated reasoning workflows using graph-based representations.

MCP server implementation for PocketFlow - A codebase analysis and tutorial generation tool

In this example, inspired by Building Agents with AWS: Complete Tutorial, we will build a simple AI agent application using Spring AI, highlighting key features like:

Realtime API (Audio and Text) with Azure OpenAI experiments with the AOAI Realtime Realtime API (Audio and Text) with Azure OpenAI + MCP tools experiments with the AOAI Realtime + MCP Model Context Protocol (MCP) experiments with the client authorization flow the FinOps Framework lab to manage AI budgets effectively Agentic experiments with Model Context Protocol (MCP). Agentic experiments with OpenAI Agents SDK. Agentic experiments with AI Agent Service from Azure AI Foundry. the AI Foundry Deepseek lab with Deepseek R1 model from Azure AI Foundry. the Zero-to-Production lab with an iterative policy exploration to fine-tune the optimal production configuration. the Terraform flavor of backend pool load balancing lab. the AI Foundry SDK lab. the Content filtering and Prompt shielding labs. the Model routing lab with OpenAI model based routing. the Prompt flow lab to try the Azure AI Studio Prompt Flow with Azure API Management. priority and weight parameters to the Backend pool load balancing lab. the Streaming tool to test OpenAI streaming with Azure API Management. the Tracing tool to debug and troubleshoot OpenAI APIs using Azure API Management tracing capability. image processing to the GPT-4o inferencing lab. the Function calling lab with a sample API on Azure Functions.

ComfyUI_MCP Server ComfyUI ModelContextProtocolMCP(tool) : txt2imgimg2img MCP(tool) JSON AI

A Model Context Protocol (MCP) server that provides advanced code exploration, search, and analysis capabilities for software projects. This server acts as a bridge between AI assistants and your codebase, enabling intelligent code navigation and understanding.

run LLM agent and connect to MCP server

Model Context Protocol (MCP) MCP AI

Hayhooks makes it easy to deploy and serve Haystack pipelines as REST APIs.

Jupyter MCP Server is a Model Context Protocol (MCP) server implementation that provides interaction with Jupyter notebooks running in any JupyterLab (works also with your local JupyterLab).

Welcome to your AI-powered development toolkit, designed as a Model Context Protocol (MCP) server for Cursor! This project provides intelligent coding assistance through custom AI tools. Note that this is mostly a tutorial demo, and not a production-ready tool.

A Model Context Protocol (MCP) server that enables LLMs like Claude to navigate the web through Puppeteer-based tools and Steel. Based on the Web Voyager framework, it provides tools for all the standard web actions click clicking/scrolling/typing/etc and taking screenshots.

MCP server for use with Directus. Allows your AI tools to connect to and use your Directus API on your behalf.

A Model Context Protocol (MCP) server that exposes OpenAPI endpoints as MCP resources. This server allows Large Language Models to discover and interact with REST APIs defined by OpenAPI specifications through the MCP protocol.

A powerful Model Context Protocol (MCP) server providing comprehensive document processing capabilities.

DifyModel Context Protocol (MCP)ClaudeAI

Model Context Protocol (MCP) Grok-2 MCP Grok-2

This project implements a Model Context Protocol (MCP) server for interacting with the Semantic Scholar API. It provides tools for searching papers, retrieving paper and author details, and fetching citations and references.

The Model Context Protocol (MCP) is an open standard that can be implemented in any AI system, including Custom LLM setups. However, the degree of integration and optimisation varies based on the model's architecture and capabilities.

Model Context Protocol (MCP)OpenDSSMCP(LLM)

News MCP is an open-source Model Context Protocol (MCP) server that retrieves and extracts structured information from RSS news feeds and full-length articles. Designed to serve as a tool provider for AI agents, News MCP can summarize and analyze news content using OpenAI models.

Example MCP Server tools for playing D&D with generative AIs. These tools are oracles that are used to determine random yes/no questions but also descriptions, events, NPCs, etc. They are " random tables" to use when you want to introduce some uncertainty, twists and turns, and randomness to your gaming. This project is for educational purposes so little attention is given to good code design.

A Kubernetes command processing service that converts natural language requests into valid kubectl commands.

A Model Context Protocol (MCP) Server for Substack enabling LLM clients to interact with Substack's API for automations like creating posts, managing drafts, and more.

This server implements the Model Context Protocol (MCP) for global use as a boilerplate. It provides a standardized way to connect AI models to different data sources and tools using the Model Context Protocol.

FaceTron is a high-performance, modular face(recognition) embedding server with ONNX Runtime support, featuring dynamic multi-model loading, take your models offline, built to run anywhere, from local machines to scalable cloud environments. It also provides an OpenAPI Specification (OAS) endpoint with MCP-compatible metadata, and with OpenTelemetry integration.

An MCP server that connects github repos to ai for better code understanding.

GeneMCP is a Model Context Protocol (MCP) server developed as a submission for the NVIDIA AgentIQ Hackathon.

Effortlessly craft stunning mobile UI components with AI, powered by the Model Context Protocol!

This is a Chain-of-Recursive-Thoughts (CORT) MCP server. The orignal project is as below, I appreciate so much the original work.

The AI Agent for Software Developers is an intelligent assistant designed to automate and simplify the daily workflows of developers. It leverages AI-powered automation, voice commands, and contextual understanding to streamline everything from email handling to code debuggingallowing developers to focus more on building and less on managing.

A computer science expert chatbot that leverages the arXiv dataset to deliver accurate, research-backed responses. The chatbot can answer complex queries, summarize research papers, explain advanced concepts, search for papers, and visualize concepts, all while maintaining conversation context for follow-up questions.