Discover integrations, agent tools, frameworks, and learning resources for AI agents.

This repository provides the source code for building a sales analytics agentic UI using MCP Apps and deploying it on Amazon Bedrock AgentCore. It is ideal for developers looking to create and deploy AI-driven applications in a cloud environment.

MCP Manager GUI is a user-friendly tool designed to manage MCP servers across various clients. It is ideal for developers and system administrators looking for an efficient way to control their MCP environments.

MCP RAG integrates Langchain, MCP, RAG, and Ollama to create a powerful framework for developing agentic AI applications. It is designed for developers looking to leverage advanced AI capabilities in their projects.

This repository provides a server and client framework for integrating with Frontapp, enabling seamless communication and task management. It is ideal for developers looking to build applications that leverage Frontapp's capabilities.

This MCP server provides a modular, queryable interface for accessing Microsoft Sentinel logs, incidents, analytics, and Entra ID data. It is designed for developers and data scientists looking to integrate Microsoft Sentinel capabilities with LLMs like Claude.

This MCP server provides stock market data download and query functionalities based on the QMT platform. It is designed for developers and analysts looking to integrate stock market data into their applications.

This MCP server enables clients to seamlessly interface with the seats.aero API. It is designed for developers looking to integrate flight seat data into their applications.

MediMind AI Agent is a specialized healthcare assistant system that provides intelligent symptom analysis and hospital location services. It is designed for healthcare professionals and developers looking to enhance patient care through AI-driven solutions.

This is an unofficial Rust SDK designed for interacting with Model Context Protocol servers and clients. It is ideal for developers looking to integrate Rust applications with Model Context Protocol functionalities.

Modsearch is a CLI toolkit that transforms search queries into structured web evidence in JSON format. It is designed for AI agents looking to enhance their capabilities with extensible search functionalities.

This repository provides example code for developing an AI multi-agent system using Microsoft Semantic Kernel and GPT-4. It is ideal for developers looking to learn how to implement multi-agent systems in .NET8.

NaLaMap is an open-source application designed for creating webmaps and analyzing geospatial data using natural language. It is ideal for developers and researchers looking to leverage geospatial analysis with natural language processing capabilities.

Ollama Agent CrewAI Search is a utility designed for executing search queries within the CrewAI framework. It is ideal for developers looking to enhance their AI agents with search capabilities.

OnCall Agent is an AI-based operations automation assistant designed to streamline maintenance tasks. It is ideal for IT professionals seeking to enhance their operational efficiency through automation.

This tool provides a persistent belief-graph memory system for AI agents, allowing them to retrieve context based on importance rather than recency. It is designed for developers looking to enhance the memory capabilities of their AI applications.

This tool provides a comprehensive framework for building personalized multimodal AI agents utilizing Google ADK and Gemini. It is designed for developers looking to create advanced AI solutions with features like real-time speech-to-text and long-term memory capabilities.

This MCP server provides read-only access to financial data from Quicken for Mac, enabling seamless integration with Claude. It is ideal for developers looking to access and utilize financial data in their applications.

RAG Multi Agents is a framework designed for building and managing multiple agents that can work together effectively. It is ideal for developers looking to implement multi-agent systems in their applications.

This tool leverages Semantic Kernel to create an AI agent that supports Retrieval-Augmented Generation (RAG) using Azure SQL Database's vector capabilities. It is designed for developers looking to enhance their applications with advanced AI functionalities powered by Azure.

Research Harness is a lightweight framework designed for tool-using LLM agents, enabling fair benchmark evaluations and personal assistant workflows. It is ideal for researchers and developers looking to create and evaluate AI agents effectively.

Search Node API allows users to build their own free search API using Koa and Puppeteer, enabling custom search functionalities. It is ideal for developers looking to create personalized search tools or experiment with large language models.

Semantic Aspire provides examples of using semantic kernel with Aspire endpoints, making it a valuable resource for developers looking to integrate AI capabilities into their applications. This repository is ideal for C# developers interested in exploring OpenAI technologies and semantic processing.

Signal MCP Client is a versatile client designed for sending and receiving messages using the MCP protocol. It is ideal for developers looking to integrate messaging capabilities into their applications.

This plugin integrates Langchain functionalities into Unreal Engine C++, enabling developers to leverage LLM capabilities in their games. It is designed for game developers looking to enhance their projects with AI-driven features.

This TypeScript package enhances tool calling capabilities for LLMs in LangChain.js's ChatOpenAI and BaseChatModel classes. It is designed for developers looking to implement advanced functionalities in their AI applications before official support is available.

Undetected Browser Tool helps users bypass browser bot detection when using LangChain tools. It is ideal for developers and data scientists looking to scrape web data without being blocked by anti-bot measures.

V0 MCP Server enables the generation of UI components using AI, specifically designed for Claude Code users. This tool is ideal for developers looking to enhance their UI development process with AI-driven capabilities.

VibeChard enables parallel Apple development by creating isolated worktrees for each task, allowing developers to run multiple AI sessions on the same Xcode project. This tool is ideal for developers looking to enhance their productivity while working on iOS and macOS applications.

The Visual Studio Local LLM Plugin enables developers to integrate local large language models into their Visual Studio environment. It is designed for software developers looking to enhance their coding experience with AI capabilities.

VulnAgent is an experimental AI-assisted cybersecurity agent framework that orchestrates modular agents using LLMs and domain-specific tools. It is designed for cybersecurity professionals looking to leverage AI for enhanced vulnerability management.

Wind for Flutter provides a utility-first CSS framework that allows developers to use Tailwind CSS classes directly in Flutter applications. It is designed for Flutter developers looking to enhance their UI design with responsive and customizable components.

Xcode MCP Wrapper enables compatibility between Xcode's MCP and strict MCP-spec-compliant clients like Cursor. It is designed for developers looking to integrate Xcode with various MCP systems seamlessly.

Advanced Tools provides enhanced capabilities for utilizing advanced features across various LLM providers, including OpenAI and Google. This tool is designed for developers looking to integrate sophisticated functionalities into their applications seamlessly.

Agent Aware Starter provides an explicit intent layer for facilitating agent-to-agent protocols and enhancing token-efficient retrieval-augmented generation (RAG) discovery. This tool is ideal for developers looking to build sophisticated AI agent interactions and improve efficiency in their applications.

Agent Tools JS provides a toolkit for building AI agents using TypeScript, making it easier for developers to integrate AI functionalities into their applications. It is ideal for developers looking to leverage LangChain and OpenAI technologies in their projects.

Agentic PCG is a tool for procedural content generation using tool-using large language models. It is designed for developers and researchers interested in leveraging AI for creative content generation.

Agentic RAG RL is a minimal implementation designed for reinforcement learning applications. It is suitable for developers and researchers looking to explore agent-based reinforcement learning techniques.

Agents & Arbiters is a multi-agent AI text adventure game that showcases the capabilities of multi-agent systems. It is designed for developers and enthusiasts interested in exploring interactive storytelling through AI.

Agoragentic Integrations provides a suite of tools for deployed agents, enabling smart routing and execution of various tasks. This tool is ideal for developers looking to enhance their AI agents with advanced integration capabilities.

AI Agent Projects provides a comprehensive collection of resources and examples for building AI agents using LangChain and Gemini 3. It is ideal for developers and researchers looking to enhance their understanding of agent memory, prompt engineering, and tool calling.

This tool provides an AI-powered cold calling system designed for automated lead engagement using n8n and GoHighLevel. It is ideal for businesses looking to enhance their lead generation processes through automation.

This GitHub Action automates code reviews using AI, integrating seamlessly with OpenAI-compatible services. It is designed for developers looking to enhance their code review process with AI assistance.

This AI Recruitment System accelerates the hiring process for HR and technical recruiters by automating various recruitment tasks. It is designed for organizations looking to streamline their hiring workflows using AI technology.

Askit is a library and CLI tool designed for function calling with large language models, supporting multiple MCP servers. It is ideal for developers looking to integrate LLM capabilities into their applications seamlessly.

This plugin enhances the Alfred app by providing a search feature for ChatGPT prompts. It is designed for users looking to streamline their prompt management and access within the Alfred environment.

This tool provides a multi-agent banking assistant built with Dotnet and Semantic Kernel, designed to streamline banking operations. It is ideal for developers looking to implement AI-driven solutions in financial services applications.

CereBro is a model-agnostic MCP Client-Server designed for .Net and Unity, enabling seamless integration of AI models. It is ideal for developers looking to implement AI functionalities within their applications using C# and Unity.

The Chat Agent system executes GPT queries through intelligent tool selection, dynamically choosing between summarization and Retrieval-Augmented Generation (RAG) tools. It is designed for developers looking to enhance their applications with advanced AI query capabilities.

This tool converts ChatGPT exports into Markdown format, enabling full-text search capabilities. It is designed for users who need to manage and utilize ChatGPT outputs efficiently in a Markdown-friendly way.

This repository provides a configuration for Claude Code that includes specialized AI agents and automated workflows. It is designed for software developers looking to enhance their development processes with multi-agent orchestration and custom skills.