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

ESP32-CAM AI is a Model Context Protocol server implementation that enables integration with Large Language Models for remote camera control and system monitoring. It is designed for developers looking to enhance their ESP32-CAM projects with AI capabilities.

Harness Engineering Skills enables the orchestration of AI coding agents to run unattended and facilitate peer reviews across different LLMs. This tool is ideal for developers looking to automate code reviews and enhance code quality through multi-agent collaboration.

Hermes Go is an AI Agent framework designed for building agents with capabilities like Retrieval-Augmented Generation (RAG), knowledge management, and memory. It is ideal for developers looking to create sophisticated AI agents using the Go programming language.

This tool enables users to interact with PDF documents using advanced natural language processing and retrieval augmented generation capabilities. It is designed for developers and data scientists looking to enhance their applications with PDF QA functionalities.

MCP Dashboards allows you to transform your data into interactive dashboards within any AI client. It is designed for developers looking to enhance their applications with real-time data visualization capabilities.

MCP Notify monitors the Model Context Protocol Registry for changes and sends real-time notifications through various channels like Discord, Slack, and Email. It is designed for developers and teams who need to stay updated on server status changes in their AI applications.

MCP Ollama Server extends the Model Context Protocol to local LLMs, enabling versatile tool use while ensuring data privacy. It is designed for developers looking to implement modular Python servers for on-premises AI solutions.

This Model Context Protocol (MCP) server enables AI assistants to efficiently search academic papers and analyze author profiles. It is designed for researchers and developers looking to integrate academic search capabilities into their AI applications.

This project showcases a decoupled real-time agent architecture that connects LangGraph agents to remote tools via custom MCP servers. It is designed for developers looking to build flexible and scalable multi-agent systems with modular and cloud-deployable capabilities.

Prometheus MCP is a Model Context Protocol server that enables AI agents to access Prometheus metrics programmatically through a unified interface. It is designed for developers looking to integrate monitoring metrics into their AI applications seamlessly.

This tool provides a real-time Google Search API designed for AI agents and retrieval-augmented generation (RAG) pipelines. It is ideal for developers looking to extract structured search engine results data using remote browsers.

Skills MCP is a platform for managing LLM-driven skills, allowing users to create, edit, and execute skills programmatically. It is designed for developers looking to integrate and automate skills in Claude and other MCP-compatible clients without manual file uploads.

Stoa is a multi-agent swarm framework designed for building autonomous agents with various skills. It is ideal for developers looking to create complex AI systems without the need for extensive infrastructure.

Strava MCP is a Model Context Protocol server that facilitates secure authentication and tool access for AI clients through Strava OAuth integration. It is ideal for developers seeking to incorporate Strava authentication into their AI applications.

This AI-native MCP server connects various AI assistants to TestRail, allowing users to manage test cases, runs, and results through natural-language conversation. It is designed for teams looking to streamline their testing processes with AI-driven automation.

ThoughtLoom is a powerful command-line tool that enhances creativity and productivity by integrating LLMs into various workflows. It is designed for individuals and teams looking to experiment and streamline their daily tasks with LLM-based tools.

Tiny OAI MCP Agent allows users to interact with a SQLite database using natural language through an OpenAI-compatible LLM. It is designed for developers looking to integrate natural language processing capabilities into their database management workflows.

Agent Dispatch is an MCP server designed for Claude Code agents to delegate tasks efficiently across different project directories. It is ideal for developers looking to enhance their agent's capabilities in task management and delegation.

This Go toolkit enables developers to build AI agents and applications across various providers with features like unified LLM client and agent framework. It is ideal for developers looking to create multimodal AI solutions with cost tracking and structured output capabilities.

This repository provides a comprehensive guide for beginners to develop AI applications using Java and LangChain4J. It is ideal for developers looking to understand concepts like RAG, Agent, and MCP through practical examples.

Aios is an AI-native operating environment that integrates Linux-based OS with Rust kernel modules and a Python AI/ML runtime. It is designed for developers and researchers looking to run local LLMs and orchestrate multi-agent systems on-device.

AutoGen Agent Server is a lightweight server designed for developing conversational agents using Microsoft AutoGen. It is ideal for developers looking to create and test AI-driven conversational applications locally.

This repository provides a curated list of papers, frameworks, benchmarks, and applications focused on multimodal AI agents for mobile and edge devices. It is ideal for researchers and developers interested in the latest advancements in edge AI technologies.

Awesome Rosetta Skills is a comprehensive collection of research skills tailored for AI agents across various academic disciplines. It is ideal for researchers and developers looking to enhance their AI capabilities with a wide range of tools and resources.

This workshop provides a comprehensive guide to building intelligent AI solutions using Azure AI Foundry, focusing on advanced techniques like Vector Search and multi-agent orchestration. It is ideal for developers and data scientists looking to enhance their skills in AI and Azure technologies.

Campus Docs Assistant is an AI-powered chatbot designed to simplify access to academic documents and institutional information for university students. It leverages large language models and intelligent agents to enhance the understanding of complex materials.

Capture MCP Server is an AI-native Model Context Protocol server that integrates various APIs to analyze federal procurement and spending data through natural language queries. It is designed for developers and organizations looking to programmatically access and utilize government spending data.

This tool allows developers to quickly scaffold and launch ChatGPT Developer Mode MCP servers with production-ready defaults. It is ideal for developers looking to streamline their server setup process with built-in tools and clear documentation.

This tool emulates Claude Code's task management system, offering persistent todo functionality for AI coding assistants. It is designed for developers looking to enhance their IDE experience with task management capabilities.

This tool serves as a custom AI agent for Jira, designed to perform triage on newly created issues. It is ideal for teams looking to streamline their issue management process using AI-driven insights.

This tutorial provides a step-by-step guide to building your own AI agent using the Google ADK. It is designed for beginners looking to learn about AI agents and their development process.

Kiro Team is a multi-agent orchestration tool designed for the Kiro CLI, enabling the coordination of specialized AI agents to efficiently tackle complex tasks. This tool is ideal for developers looking to enhance automation and task management through advanced AI capabilities.

Kuzu Memory is a lightweight, embedded graph-based memory system designed for AI applications, enabling fast recall and offline-first capabilities. It is ideal for developers looking to enhance their AI tools with efficient memory management.

Legal Context CE is an open-source Model Context Protocol server that securely connects law firms' document management systems with AI assistants. It is designed for legal professionals looking to enhance their document handling with AI capabilities.

LLM Action is a GitHub Action designed to facilitate interaction with OpenAI-compatible LLM services, including support for custom endpoints and self-hosted models. It is ideal for developers looking to integrate AI capabilities into their CI/CD workflows seamlessly.

LSP4J MCP is a Java server that implements the Model Context Protocol to enhance AI assistants with Java IDE features. It is designed for developers looking to integrate advanced language server capabilities into their applications.

MCP Link enables AI agents like ChatGPT and Claude to utilize approved local and remote tools through a browser extension and optional MCP server. This tool is ideal for developers looking to enhance AI capabilities with real-world integrations.

This MCP server automates SolidWorks using Claude AI, providing 22 tools for parts, sketches, and features. It is designed for engineers and developers looking to enhance their SolidWorks experience with AI-driven automation.

This tool serves as a standalone MCP server enabling cross-pane communication for AI agents via tmux. It is designed for developers looking to facilitate interaction between various AI tools in a terminal environment.

MCPX is a Python client library designed to facilitate the use of portable and secure tools for AI agents and applications. It is ideal for developers looking to integrate advanced AI functionalities into their Python projects.

n8n MCP Rules provides pre-configured prompts to guide AI coding agents in using Synta MCP for n8n workflow automation. This tool is ideal for developers looking to enhance their workflow creation with real-time error checking and troubleshooting assistance.

NotionGPT allows users to create a custom GPT action that interacts with the Notion API, enabling seamless access to their Notion workspace through ChatGPT. This tool is ideal for developers looking to enhance their productivity by integrating Notion functionalities into their AI workflows.

The PHP MCP SDK provides a complete implementation of the Model Context Protocol, facilitating integration between LLM applications and various external data sources. It is ideal for developers looking to leverage PHP for building applications that require seamless data interactions with LLMs.

This is a full-stack real estate AI agent designed for lead intake, property search, and scheduling via Google Calendar. It is ideal for real estate professionals looking to streamline their workflows with AI-driven solutions.

Registry provides production-ready MCP servers for over 70 APIs, including GitHub, Google, Notion, and Jira. It is designed for developers looking to integrate AI agents with various external services using OpenAPI specifications.

This plugin enhances Ren'Py development by automating game dialogues and providing advanced narration tools. It is ideal for game developers looking to integrate dynamic storytelling using ChatGPT.

This repository provides code samples for building AI applications on AWS using Amazon Bedrock. It is ideal for developers looking to explore AI agent capabilities and implement advanced features like RAG and guardrails.

This tool provides a secure, browser-based chat application that connects to Amazon Bedrock Agents, enabling organizations to deploy AI-powered chat interfaces with enterprise-grade security. It is ideal for developers looking to implement secure chat solutions using AWS services like Amplify and Cognito.

Speclock is an AI Constraint Engine that enforces rules as laws, ensuring compliance with various AI guidelines. It is designed for developers looking to maintain code quality and safety in AI applications.

Strada Brain is an AI-powered autonomous coding agent designed for Unity and Strada.Core, featuring a robust agent loop and over 40 tools for coding assistance. It is ideal for game developers looking to enhance their workflow with multi-channel communication and persistent memory capabilities.