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

This MCP server allows users to query Italian statistics through the SDMX API, making it compatible with any MCP client. It is ideal for developers and data analysts looking to access and utilize Italian statistical data programmatically.

This MCP Server facilitates integration between Simplenote and Claude Desktop, enabling seamless note management. It is ideal for developers looking to enhance their applications with AI-driven note-taking capabilities.

This template provides a streamlined foundation for building Model Context Protocol (MCP) servers in Python. It's designed to make AI-assisted development of MCP tools easier and more efficient.

MCP Server Templates is a flexible platform that simplifies the integration of various AI components through Docker and Kubernetes backends. It is designed for developers looking to streamline server deployment and request routing with minimal configuration effort.

MCP Toggl Integration provides a server solution for integrating Toggl Track with intelligent caching and reporting tools. It is designed for developers looking to enhance their time-tracking capabilities with automated reporting features.

MCP Tools for Python provides a server that integrates code quality checks with smart prompts for analysis and fixes. It is designed for developers looking to enhance their code quality using AI assistants like Claude.

This workshop guides users in building a multimodal AI agent utilizing Haystack and GPT-4o, emphasizing features like image understanding and conversational memory. It is ideal for developers and researchers interested in advanced AI agent capabilities and safety controls.

Notionary simplifies the Notion API, allowing developers to write Markdown and generate Notion pages seamlessly. It is designed for Python developers and those looking to automate their Notion workflows with ease.

Orxhestra is a multi-agent orchestration framework for Python that enables users to turn any agent setup into a command-line interface or server. It is designed for developers looking to create and manage complex agent interactions efficiently.

This tool serves as a persistent memory MCP server designed for integration with Claude Code, facilitating recursive language model operations. It is ideal for developers and researchers looking to enhance context management in AI applications.

This tool provides a persistent project context for Claude using the IANA-registered .faf format, enabling developers to manage project contexts effectively. It is designed for developers working with Claude AI who need to maintain context across multiple tools and prompts.

Programmatic Tool Calling AI SDK enables developers to significantly reduce LLM inference costs by generating JavaScript for tool orchestration. It is designed for developers looking to integrate multiple AI models and external services efficiently.

This .NET sample application demonstrates how to integrate Azure OpenAI and Azure Cache for Redis to vectorize and search product reviews using the Retrieval-Augmented Generation (RAG) pattern. It is designed for developers looking to implement advanced search capabilities in their applications using AI technologies.

SmartCall Agent is an AI-powered system designed for outbound calling and voice chats, integrating advanced technologies like LiveKit and OpenAI. It is ideal for businesses looking to enhance customer support and engagement through intelligent voice interactions.

This toolkit provides a production-ready configuration for backend and full-stack developers using Claude Code. It includes a comprehensive set of rules, commands, agents, and skills for various technologies, making it ideal for developers looking to integrate AI into their applications.

ToolFS is a FUSE virtual filesystem designed for AI agents, enabling integration of memory, retrieval-augmented generation (RAG), and local data access. It is ideal for developers looking to implement flexible tool chaining and scalable plugin systems in their AI applications.

Toolloop is a multi-LLM agent framework that allows users to seamlessly integrate various models like Claude, GPT, and Llama into their codebase. It is designed for developers looking to enhance their applications with advanced AI capabilities, including file editing and code search.

This repository provides a LangGraph template for building AI agents that incorporate human-in-the-loop features and conditional routing. It is ideal for developers looking to create interactive applications, such as a travel planner, with enhanced observability and user interfaces.

The UX MCP Server provides a comprehensive suite of 28 UX knowledge resources, 23 analysis tools, and 4 workflow prompts designed for enhancing user experience. It is ideal for developers and designers looking to integrate AI-driven insights into their projects using various MCP clients.

Veo3 Workflow Agents is a comprehensive AI-powered video generation pipeline that enhances creative prompts to produce high-quality videos. It is designed for developers and content creators looking to leverage Google's Veo3 API for automated video production.

YantrikDB MCP is a drop-in server for cognitive memory in AI agents, providing features like temporal decay and contradiction detection. It is designed for developers looking to enhance their AI applications with persistent memory capabilities.

This advanced MCP server allows AI agents to interact with Obsidian through its Local REST API, enhancing their understanding of vault structures and content. It is designed for developers looking to integrate AI capabilities into their Obsidian workflows.

Agent Chat is an advanced AI-powered conversational agent that utilizes the Llama 3.2 model and Phidata framework for enhanced interactivity. It is designed for developers looking to implement sophisticated chatbots with reasoning capabilities and tool integrations for various tasks.

The Agentic Chatbot Accelerator provides a comprehensive framework for developing and deploying agentic chatbots using Amazon Bedrock AgentCore. It is designed for developers looking to create advanced conversational agents with ease and flexibility.

AI Agent Hub is a full-stack platform designed for creating, managing, and interacting with customized AI agents. It features an advanced Retrieval-Augmented Generation (RAG) system, making it ideal for developers looking to build sophisticated AI solutions.

This repository provides a comprehensive 9-step roadmap for mastering AI agents, focusing on design patterns, memory, and multi-agent systems. It is ideal for professionals seeking to scale generative AI applications across various business domains.

AI Co-Scientist is an advanced research assistant that leverages AI agents to generate innovative research directions and analyze scientific literature. It is designed for researchers seeking to explore new ideas and hypotheses through literature search tools.

AI i18n is a GitHub Action that automates the translation of your application's internationalization files using large language models. It is ideal for developers looking to streamline localization processes with support for multiple formats and LLM providers.

The AI Memory Service enhances AI agents with long-term memory capabilities, allowing for personalized and contextually-aware interactions. It is designed for developers looking to integrate advanced memory structures into their AI applications using MongoDB Atlas and AWS Bedrock.

The arXiv MCP Server Client enables AI assistants to efficiently search, retrieve, analyze, and summarize academic papers from arXiv. It is designed for researchers and developers looking to integrate advanced paper search capabilities into their AI applications.

This repository provides comprehensive code examples and practical implementations for building multi-agent AI systems using Microsoft's AutoGen framework. It is designed for developers looking to enhance their skills in creating complex AI systems.

This workshop provides hands-on experience in building AI agents that automate browser tasks using Amazon Bedrock AgentCore. It is designed for developers and enthusiasts looking to enhance their skills in AI and automation.

This MCP server provides C# and XAML language intelligence for AI assistants like Claude. It is designed for developers looking to enhance their AI applications with robust language support.

CodeSeeker is a powerful MCP server that integrates semantic search and knowledge graph capabilities for AI tools like Claude Code, Cursor, and GitHub Copilot. It is designed for developers looking to enhance their coding experience with advanced AI functionalities.

Codex MCP Server is a Rust-based server that facilitates collaboration among various AI coding assistants through the Model Context Protocol. It is designed for developers looking to integrate multiple AI tools into their coding workflows.

Consulting Agents MCP is a server that connects with OpenAI, Google, and Anthropic's APIs to enhance problem-solving capabilities. It is designed for developers looking to integrate advanced AI functionalities into their applications.

Cursor Agents provides a robust framework for developing multi-agent AI systems, streamlining the process for teams to create production-grade software. It is ideal for developers looking to implement systematic AI coordination in their projects.

This repository provides a comprehensive guide on building effective applications using LLMs with Semantic Kernel in C#. It is ideal for developers looking to enhance their skills in AI application development.

This tool provides a sophisticated trading system that utilizes local LLM deployment and distributed computing to make intelligent trading decisions. It is designed for developers and data scientists looking to implement advanced trading strategies using AI and big data technologies.

The GenAI API Pentest Platform is an advanced API security testing tool that utilizes multiple Large Language Models to conduct intelligent and context-aware assessments. It is designed for cybersecurity professionals seeking to enhance their API security testing capabilities beyond traditional pattern-matching methods.

This guidance provides a comprehensive approach to building an AI-driven shopping experience using Amazon Bedrock Agents. It is ideal for developers and AI enthusiasts looking to enhance e-commerce applications with generative AI capabilities.

Gephi AI enhances the Gephi platform with advanced AI capabilities, including a plugin for graph analytics and an MCP server for seamless integration with AI assistants. It is designed for researchers in network science looking to leverage AI for network analysis.

Google MCP is a collection of Google-native tools designed to facilitate integration with various Google services such as Gmail and Calendar. It is ideal for developers looking to build applications that leverage the Model Context Protocol with Google APIs.

This repository provides comprehensive guidance for deploying agentic applications tailored for advertising workflows using Amazon Bedrock AgentCore. It is designed for developers and organizations looking to implement advanced multi-agent collaboration in their advertising strategies.

JanuScope is a local-first MCP policy proxy that enhances security and performance for various databases and APIs. It is designed for developers looking to implement robust policy management and data protection in their applications.

KDebug is a Kubernetes debugging tool that leverages LLMs to interact with Kubernetes clusters. It is designed for developers and DevOps professionals seeking to streamline their Kubernetes command execution through AI assistance.

Lumos is an open-source AI agent designed for contract risk assessment, allowing users to quickly analyze legal documents through a simple photo capture. It is particularly suited for individuals and organizations needing to navigate Chinese labor laws effectively and efficiently.

MCP Neural Memory enhances AI coding agents by providing persistent knowledge graph memory, allowing them to maintain long-term context such as goals and preferences. This tool is ideal for developers looking to improve the contextual awareness of their coding assistants in environments like Cursor and VS Code.

MCP Ragex is a server designed for intelligent code search, offering semantic, symbolic, and regex search modes. It is ideal for developers seeking advanced tools for code analysis and search capabilities in their coding assistants.

This tool provides a complete Model Context Protocol (MCP) server for seamless integration with Salesforce, enabling universal CRUD operations on any Salesforce object. It is designed for developers looking to enhance their applications with Salesforce capabilities using Claude Desktop.