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

IDA Codex MCP is a bridge that connects IDA Pro 9.2 with the MCP ecosystem, providing a plugin and server for various analysis features. It is designed for developers and security researchers who need to integrate IDA Pro functionalities with other tools in the MCP environment.

Lad MCP Server provides autonomous code and system design reviews tailored for AI coding agents. It is designed for developers and teams looking to enhance their coding practices through multi-model consensus and context-aware reviews.

This comprehensive guide details agent development using LangChain and LangGraph, blending hands-on experience with official documentation insights. It is ideal for developers looking to deepen their understanding of AI agent creation.

Limitless Server is an MCP server that enables AI tools to interact with Limitless Pendant data through the Limitless API. It is designed for developers looking to integrate AI applications with structured Lifelog data.

LiteLLM provides a unified interface to access over 100 LLM providers, making it easier for developers to integrate various models into their applications. This tool is ideal for AI developers looking to streamline their model integration process within the Pydantic AI framework.

MCP Observer Server is a server that facilitates real-time notifications for file changes, allowing clients to subscribe to updates. It is designed for developers looking to implement efficient file monitoring solutions in their applications.

This tool allows users to integrate Substack posts directly into their Claude AI conversations, enhancing the interaction with content from Substack. It is designed for users looking to streamline their content consumption and engagement within the Claude AI environment.

MCP Trace JS is a tracing middleware designed for MCP servers, enabling comprehensive logging of requests, tool calls, and responses. It is ideal for developers looking to enhance observability in their applications with support for various logging adapters.

Metashape MCP is an AI-powered server that automates photogrammetry processes for Agisoft Metashape Professional. It allows users to control the entire pipeline using natural language, making it ideal for professionals in drone mapping and 3D reconstruction.

This repository serves as the official website and documentation hub for the Model Context Protocol Security initiative. It provides essential security guidance, best practices, and tools for deploying MCP servers and AI agents safely, making it valuable for developers and security professionals.

NEXO Brain provides a shared brain for AI agents, enabling persistent memory and advanced cognitive features. It is designed for developers looking to enhance their AI applications with metacognitive capabilities and memory management.

Scraping Agent AI is an AI-powered web scraping tool that automates intelligent crawling and structured data extraction. It is designed for developers and data analysts looking to efficiently gather and format web content while handling anti-bot mechanisms and error recovery.

The Semantic Kernel Microservice is a starter kit for building agentic applications using C#, Blazor, and ASP.NET Core. It is designed for developers looking to create AI-driven applications on a familiar .NET stack with integrated deployment tools.

This tool enables users to engage in natural voice conversations with documents in real time, leveraging advanced speech-to-text and text-to-speech technologies. It is designed for developers and researchers looking to create immersive voice-first applications with instant document insights.

AgentCraft is a multi-agent collaborative intelligent knowledge base system designed for backend development and learning. It features a five-layer orchestrated agent architecture that supports a complete workflow from intent recognition to answer generation, making it ideal for developers looking to enhance their skills and showcase their work.

Agentic Template is a FastAPI-powered workflow orchestration system that allows users to design, run, and manage AI Agents workflows. It is ideal for developers looking to integrate LangGraph into their AI projects for enhanced workflow capabilities.

This repository contains prompts used in leading AI tools, providing over 7000 lines of prompts to help users create their own agents. It is ideal for those looking to learn about AI agent development through practical examples and a free course.

This repository provides complementary resources for building production-ready AI agents using N8N. It is ideal for learners seeking templates, guides, and examples to enhance their understanding of AI agent development.

AI Memory MCP provides persistent memory capabilities for various AI models through a versatile MCP server, HTTP API, and CLI. It is designed for developers looking to enhance their AI applications with reliable memory management without cloud dependencies.

AI Review Action is a GitHub Action that leverages the OpenAI API to automatically leave code review comments on Pull Requests. This tool is ideal for developers looking to enhance their code quality through automated feedback during the review process.

AISLOP is an engineering standards layer that enforces quality gates for AI-written code, ensuring adherence to team rules and scoring changes for quality. It is designed for developers looking to maintain high standards in their codebases while integrating with various AI tools.

ATM allows users to create secure and scoped Home Assistant API tokens for AI assistants and other MCP clients. It is designed for developers looking to enhance their Home Assistant integrations with secure token management.

AutoDev is a deterministic, resumable orchestrator designed for LLM-driven software development. It is ideal for developers looking to create multi-agent pipelines with advanced self-refinement capabilities.

AutoWP MCP connects Claude to WordPress, enabling users to generate and publish blog posts automatically. This tool is ideal for content creators looking to streamline their blogging process using AI.

This repository offers a curated list of frameworks and tools for AI agent swarms, focusing on multi-agent orchestration and collaborative systems. It is ideal for developers and researchers interested in swarm intelligence and agent-based systems.

This blueprint facilitates the deployment of multi-agent AI collaborations using AWS Bedrock, integrating various technologies such as CDK, Graph DB, and Streamlit. It is designed for developers and data scientists looking to leverage AWS infrastructure for advanced AI applications.

This repository contains resources for the LinkedIn Learning course on building AI agents using AutoGen. It is designed for learners who want to understand the fundamentals of AI agent development.

Crispy is a GUI designed for Claude Code and Codex, facilitating multi-agent orchestration with features like adversarial verification and agent memory. It is ideal for developers looking to enhance their coding experience with AI tools.

Dart Agent Core is a framework designed for building stateful AI agents with capabilities such as tool use, skills, and planning. It is ideal for developers looking to create advanced AI applications using Dart and Flutter.

DMAP provides a framework for orchestrating multiple agents using Clean Architecture principles, enabling developers to build complex LLM agent systems. It is ideal for software engineers looking to implement structured and maintainable agent-based applications.

Factorly is a local runtime designed for managing agent tool chains, providing a secure environment for tool calls and data handling. It is ideal for developers looking to enforce governance and manage workflows in their AI applications.

Freu CLI allows users to record browser sessions and compile them into reusable skill commands, significantly reducing AI agent token usage. This tool is ideal for developers looking to streamline their automation processes with AI agents.

IAM Bob's Brain is a general-purpose enterprise orchestrator that leverages Google ADK and Vertex AI Agent Engine. It is designed for organizations looking to implement a multi-agent system with advanced risk management and workflow automation capabilities.

JEB MCP Server provides AI-assisted tools for Android APK reverse engineering, including decompilation and resource analysis. It is designed for developers and security researchers looking to analyze and manipulate Android applications.

LangGraph Streaming is a powerful API service that leverages the LangGraph Agent to provide real-time streaming tokens via Websocket. It is designed for developers looking to integrate efficient streaming capabilities into their applications using FastAPI.

This tutorial provides a comprehensive guide for AI application developers and researchers on implementing LLM-based retrieval-augmented generation agents. It includes practical examples and insights into using LangChain and related technologies.

MCP AI Agent is a TypeScript library that enables AI agents to leverage MCP (Model Context Protocol) servers for enhanced capabilities. It is designed for developers looking to integrate AI-powered applications with MCP servers seamlessly.

MCP DBs is a server that enables seamless integration of large language models with SQL databases like SQLite, SQL Server, and PostgreSQL. It is designed for developers looking to enhance their applications with powerful database interactions using LLMs.

The MCP File Operations Server enhances file operation capabilities with features like streaming, patching, and change tracking. It is designed for developers looking to implement advanced file handling in their applications using the Model Context Protocol.

The MCP Server is designed to facilitate AI assistants' interactions with Paper's trading platform API, enabling seamless integration for trading applications. It is ideal for developers looking to build AI-driven trading solutions using Paper's infrastructure.

This AI-powered MCP server enables comprehensive video editing capabilities in Adobe Premiere Pro, allowing users to control editing tasks with natural language commands. It is designed for video editors and content creators looking to enhance their workflow through automation and AI integration.

This self-hosted MCP server connects Claude to Odoo versions 15 to 19, offering over 197 tools for multi-tenant environments. It is ideal for developers looking to integrate AI capabilities into their Odoo ERP systems with localization for Bulgaria.

The MCP Strava Server enables seamless integration between Strava APIs and Claude for Desktop, allowing users to leverage Strava data effectively. It is designed for developers looking to enhance their applications with Strava's capabilities through Claude's interface.

This tool provides an MCP server that exposes UniFi application API documentation as queryable tools for various clients. It is designed for developers looking to integrate UniFi functionalities into their applications using Claude-compatible interfaces.

This tool acts as a remote Model Context Protocol server that retrieves Microsoft Teams meeting transcripts using the Microsoft Graph API. It is designed for integration with Microsoft Copilot Studio and can connect with any MCP-compatible client.

This tool provides a multi-LLM deliberation council that enables various AI models to vote, debate, and synthesize information collaboratively. It is designed for developers and researchers looking to leverage multiple AI models in a cohesive environment.

This repository serves as the official course material for the O'Reilly Live Event focused on building AI workflows and agents using n8n. It is ideal for developers and enthusiasts looking to enhance their skills in AI integration and automation.

The NanoTracker API SDK enables AI coding agents to drive live nanoTracker sessions seamlessly. It is designed for developers looking to integrate advanced tracking capabilities into their applications.

Open LLM Server provides a flexible framework for serving endpoints for embeddings and chat completions using state-of-the-art open source language models. It is ideal for developers looking to implement various natural language processing tasks via simple HTTP endpoints.

This repository provides resources for the O'Reilly course on OpenAI Agents SDK, offering a comprehensive guide to building and utilizing AI agents. It is ideal for learners and developers looking to deepen their understanding of OpenAI's capabilities and applications.