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

Cursor CLI to API Gateway transforms the Cursor Agent CLI into an HTTP API gateway compatible with OpenAI and Anthropic. This tool is ideal for developers looking to integrate CLI functionalities into web applications seamlessly.

DocChat is an AI-powered Multi-Agent RAG system designed for structured document parsing and fact-checking. It is ideal for developers and researchers looking to retrieve accurate information from various document formats like PDFs and DOCX files.

E-Shop Distributed enables developers to create AI-powered microservices for e-commerce applications using .NET and GenAI. It integrates with various backing services to provide a robust architecture for intelligent e-shop solutions.

This repository provides a universal scaffold for AI-assisted game development, featuring 42 agents and 51 commands across multiple game engines. It is designed for game developers looking to leverage AI tools in their projects.

FlowMetr is a comprehensive observability platform designed for monitoring workflows, pipelines, and AI agents. It is ideal for developers and DevOps professionals looking to gain insights into their automation processes through metrics, logs, and traces.

Formic is an AI-powered task manager that transforms goals into shipped code, orchestrating Claude Code and Copilot CLI. It is designed for developers seeking structured planning, parallel execution, and human review in their workflows.

This tool provides a comprehensive workflow for crawling and analyzing news from 112 international sites in 14 languages. It is designed for researchers and developers looking to gather and process large volumes of news data efficiently.

Graflow is a composable Python framework designed for creating LLM agent workflows, emphasizing simplicity and an excellent developer experience. It is ideal for developers looking to build and orchestrate AI agent workflows efficiently.

HuntKit is an investigation toolkit designed for Claude Code, providing essential features for case management, OSINT, and evidence capture. It is ideal for security researchers and digital forensics professionals looking to enhance their investigative capabilities.

Just LLMs is a production-ready Python library designed for orchestrating multiple LLM providers seamlessly. It is ideal for developers looking to integrate various AI models into their applications for enhanced conversation management and cost optimization.

LangChain Tutorials provides practical, step-by-step guides for using LangChain effectively. It is designed for developers and enthusiasts looking to enhance their skills in building AI applications with LangChain.

LocalLlama MCP is a server designed to optimize coding task routing between local LLMs and various APIs. It is ideal for developers looking to manage costs effectively while leveraging both free and paid AI services.

MCP Center is a centralized platform designed for managing and connecting MCP servers, offering a high-performance proxy service. It is ideal for developers looking to facilitate seamless communication between MCP clients and multiple servers.

This is a custom TypeScript MCP Server designed for integration with Claude Code. It is ideal for developers looking to build and manage AI applications using the Claude framework.

MCPollinations is a Model Context Protocol server that allows AI assistants to generate images, text, and audio using Pollinations APIs. It is designed for developers looking to integrate advanced AI capabilities into their applications with customizable parameters and multiple model options.

Metabase AI Assistant is a powerful MCP server designed for AI SQL generation and dashboard automation, catering to enterprise business intelligence needs. It integrates seamlessly with various AI tools like Claude and ChatGPT, making it ideal for data analysts and BI professionals.

This repository provides a demonstration of integrating Open WebUI with LangGraph AI agents, utilizing a Python executor and a PostgreSQL database. It is ideal for developers looking to explore AI agent capabilities within a web interface and database context.

OpenRouter MCP Multimodal is a versatile server that enables interaction with over 300 large language models and supports multimodal content generation. It is designed for developers and researchers looking to leverage advanced AI capabilities in their applications.

Prompt Decorators is a standardized framework that enhances how LLMs process and respond to prompts using composable decorators. It is designed for developers looking to implement an official open standard specification and Python reference implementation for prompt engineering.

ProtonMail MCP is a server that enables email sending functionality using ProtonMail's SMTP service. It is designed for users who want to integrate email capabilities into their applications while utilizing ProtonMail's secure email infrastructure.

RAG Code MCP is a privacy-first semantic code navigation server designed for developers using local LLMs and vector search capabilities. It supports multiple programming languages and integrates with various AI IDEs, making it ideal for enhancing coding productivity.

RootCause is a local-first MCP server that transforms natural-language requests into evidence-backed incident analysis and Kubernetes diagnostics. It is designed for DevOps teams seeking to enhance operational safety and efficiency through intelligent incident management.

This Model Context Protocol (MCP) server enables seamless integration with Salesforce for AI development tools. It is designed for developers looking to enhance their AI applications with robust Salesforce connectivity.

Schwab MCP is a server that allows AI assistants to access and interact with Schwab accounts and market data. It is designed for developers looking to integrate AI capabilities with Schwab's financial services.

Slark is a local AI agent collaboration platform that allows users to operate without logging in, ensuring all data is stored locally. It is ideal for developers and teams looking for a self-hosted solution for AI agent interactions.

SpecialAgent is a powerful Unreal Engine 5 plugin that enables Large Language Models to interact programmatically with UE5 projects. It is designed for developers looking to leverage AI in creating complex 3D environments through an extensive set of tool endpoints.

This tool transforms plain English questions into executable SQL queries, making database querying accessible to everyone. It is ideal for users who need to interact with databases without prior SQL knowledge.

Tiny Agent is a production-ready SDK designed for developers to create and manage LLM agents efficiently. It provides a robust framework for building intelligent applications that leverage AI capabilities.

This tool enables real-time voice interactions with LangGraph agents, providing a voice assistant experience similar to ChatGPT Voice. It is ideal for developers looking to integrate voice capabilities into their applications using LiveKit.

ADK AGUI Middleware is a Python-based solution that bridges Google ADK agents with the AGUI protocol, enabling real-time interactions through Server-Sent Events. This tool is ideal for developers looking to integrate Google ADK functionalities into their applications seamlessly.

Agentic AI is a framework designed for building structured, goal-driven multi-agent systems using LangGraph and Multi-Agent Control Plane (MCP). It is ideal for developers looking to create sophisticated AI-driven workflows and agent interactions.

Agentic Guardrails provides layered safety mechanisms to enhance the reliability of agentic AI systems. It is designed for developers looking to implement robust guardrails in their AI applications.

Agentic MCP Client is a standalone agent runner that executes tasks using Model Context Protocol tools via various APIs. It is designed for developers looking to enable AI agents to run autonomously in cloud environments and interact securely with multiple systems.

AI Marketing Skills provides open-source tools for coding agents to enhance their marketing capabilities. It is ideal for marketers and developers looking to leverage AI for SEO, copywriting, and ad campaigns.

This repository provides a curated list of tools, frameworks, and resources for working with autonomous agents, particularly focusing on autoGPT. It is ideal for developers and researchers looking to explore and utilize various resources in the field of artificial general intelligence.

Awesome Ionic MCP is a curated collection of resources for building mobile apps using Capacitor and Ionic with various frameworks like React, Vue, Angular, and VanillaJS. It is ideal for developers looking to enhance their mobile app development skills with a comprehensive set of tools and references.

This repository provides a curated list of tools, frameworks, and best practices for building scalable Retrieval-Augmented Generation systems. It is ideal for developers and researchers looking to implement production-grade AI solutions.

Clawmoat is an open-source agent firewall designed to prevent AI agents from leaking sensitive data and using dangerous tools. It is ideal for developers and organizations looking to enhance the security of their AI applications.

ClickUp MCP Server enables seamless integration of ClickUp project management with AI using the Model Context Protocol. It is designed for developers looking to enhance productivity and task management through AI capabilities.

CodeFox CLI is a command-line interface tool designed for AI-driven code reviews, focusing on git diffs and CI workflows. It is ideal for developers seeking to enhance code quality and automate review processes using local or cloud-based models.

This Model Context Protocol (MCP) server serves as a bridge between LLMs and Google Tasks, enabling users to manage their task lists seamlessly. It is ideal for developers looking to integrate task management capabilities into their applications using Claude.

This repository provides a comprehensive guide on utilizing GPTQ models with LangChain. It is ideal for developers and data scientists looking to enhance their language model applications with quantization techniques.

This repository provides a comprehensive evaluation of 15 AI coding agents, including implementations and professional scoring. It is ideal for developers and researchers looking to understand the capabilities and performance of various coding AI tools.

This integration plugin allows AI coding agents to interact with Kaggle for tasks like competition reports, dataset/model downloads, and notebook execution. It is designed for data scientists and AI developers looking to enhance their Kaggle experience through automation.

This repository provides a comprehensive set of practice problems and code examples focused on mastering LangChain for AI applications. It is ideal for developers preparing for technical interviews in the field of machine learning and natural language processing using Python.

This resource offers a comprehensive guide to AI development without relying on frameworks, focusing on the inner workings of ChatGPT, RAG, and AI agents. It is ideal for learners who want to deepen their understanding of AI through practical Python modules and API usage.

LLM Use is an orchestration toolkit designed for managing agent workflows, including planning, execution, and synthesis. It is ideal for developers looking to integrate multiple LLMs and enhance their applications with advanced AI capabilities.

mAIcro is a reusable, open-source AI infrastructure that centralizes important information for communities and organizations. It effectively processes structured data and provides accurate answers to questions, making it ideal for developers and organizations looking to enhance their AI capabilities.

MCP API Gateway is a universal server designed to integrate any API with Claude Desktop using Docker configurations. It is ideal for developers looking to streamline API connections in their AI applications.

This tool provides a server for controlling Android emulators through ADB, enabling functionalities like screenshots and UI interactions. It is ideal for developers and testers working with Android applications who need to automate emulator tasks.