Ruflo is a multi-agent AI orchestration framework for Claude Code, designed to coordinate over 100 specialized AI agents across various environments. It provides capabilities like self-organizing swarms, self-learning memory, federated communication, and enterprise-grade security, enabling agents to collaborate effectively rather than just execute tasks in isolation. This makes it ideal for complex, distributed AI-assisted development workflows.

This MCP server empowers AI coding agents to fully control and inspect a live Chrome browser, offering robust capabilities for in-depth debugging, performance analysis, and reliable web automation. It's ideal for agents needing direct browser interaction to diagnose issues, gather performance metrics, or automate complex user flows.

This tool provides multi-agent orchestration for Claude Code, enabling complex AI-assisted development workflows with a focus on ease of use. It allows users to leverage Claude, Codex, and Gemini agents for tasks like code review, UI/UX design, and iterative improvement, streamlining the entire development process.

This MCP server enables LLMs to interact with web pages using Playwright's structured accessibility snapshots, eliminating the need for visual models or screenshots. It is ideal for specialized agentic loops requiring persistent state, rich introspection, and iterative reasoning over page structure, such as exploratory automation or self-healing tests.

The GitHub MCP Server enables AI agents, assistants, and chatbots to interact directly with GitHub's platform. It's ideal for automating development workflows, managing codebases, and streamlining team collaboration through natural language commands.

Taskmaster is an AI-driven task management system designed for seamless integration with various AI chats and IDEs like Claude Code and Cursor AI. It helps developers organize, track, and automate development tasks, supporting complex workflows with dependencies, subtasks, and automated research.

SuperClaude is a meta-programming framework that structures Claude Code into a comprehensive development platform, offering systematic workflow automation through 30 slash commands and intelligent agents. It excels at guiding developers through the entire lifecycle, from brainstorming and research to implementation and testing, especially when seeking enhanced performance via optional MCP integrations.

Promptfoo is a CLI and library designed for evaluating and red-teaming LLM applications, enabling developers to ship secure and reliable AI apps. It excels at automating prompt and model testing, comparing different LLMs, and integrating security vulnerability scanning into CI/CD pipelines.

Cua is a comprehensive platform enabling AI agents to interact with computers through background macOS automation, cross-OS sandboxes, and robust benchmarking tools. It excels when developers need to build, evaluate, and deploy agents capable of visually interacting with GUIs, clicking, typing, and performing complex tasks across diverse operating systems.

Hindsight is an advanced agent memory system designed to enable AI agents to learn and evolve beyond simple conversation recall. It excels in long-term memory tasks, providing state-of-the-art performance for building smarter, more adaptive AI employees and conversational agents.

This repository offers a marketplace of 11 customizable Claude plugins, each designed to turn Claude into a specialist for specific job functions like sales, marketing, or bio-research. They bundle skills, connectors, and slash commands to integrate Claude with your tools and workflows, providing consistent and professional outcomes.

Kubeshark indexes cluster-wide network traffic at the kernel level using eBPF, offering instant answers to queries with network, API, and Kubernetes semantics. It's invaluable for SREs and AI agents requiring deep network visibility, incident response, and root cause analysis in Kubernetes environments.

This repository offers a comprehensive suite of AI agents, skills, and data connectors tailored for financial services, covering workflows in investment banking, equity research, private equity, and wealth management. It's ideal for firms looking to automate analyst work products like models, memos, and reconciliations, ensuring human review for all outputs.

mcp-use is a fullstack framework designed for building robust Model Context Protocol (MCP) Servers and interactive MCP Apps for AI agents like Claude and ChatGPT. It excels when developers need to create production-ready AI tools with custom UIs, offering SDKs, a debugging inspector, and cloud deployment options.

This skill enables AI agents to interact directly with Amazon Aurora DSQL, a serverless, PostgreSQL-compatible distributed SQL database. It's ideal for developers needing AI assistance with schema management, query execution, database migrations, and diagnosing query plans within their AWS cloud-native development workflows.

Desktop Commander is an MCP server that extends AI agents' capabilities to control the local desktop, enabling them to manage files, execute terminal commands, and oversee processes. It excels in complex development workflows, data analysis, and document automation by offering persistent shell sessions, long-running background tasks, and native support for structured files like Excel, PDF, and DOCX.

This Model Context Protocol server provides robust browser automation capabilities using Playwright, enabling LLMs to interact with web pages, take screenshots, and generate test code. It is ideal for AI agents needing to perform web scraping, UI testing, or execute JavaScript in a real browser environment.

This is a comprehensive marketplace offering a wide array of Claude Code skills from Trail of Bits, specifically designed to enhance AI-assisted security analysis, testing, and development workflows. It is ideal for developers and security professionals seeking specialized tools for tasks like smart contract auditing, code review, and vulnerability detection.

The Firebase CLI offers comprehensive command-line tools for managing, testing, and deploying Firebase projects, from hosting to authentication and database interactions. It includes an official MCP Server, empowering AI development tools with deep Firebase-specific capabilities and expertise for enhanced project management.

This repository offers a collection of Cloudflare Model Context Protocol (MCP) servers, enabling MCP clients to interact with diverse Cloudflare services using natural language. It's designed for developers and operations teams to manage infrastructure, gain insights, and automate tasks across areas like Workers, Observability, and Security directly through AI-assisted commands.

This MCP server provides cloud browser automation, allowing LLMs to interact with web pages, extract data, and perform actions using Browserbase and Stagehand. It's ideal for integrating advanced web browsing capabilities into AI-powered applications and workflows.

This MCP server connects Claude Code clients to your Grafana instance, providing AI agents with programmatic access to dashboards, data sources like Prometheus and Loki, and incident management. It's ideal for AI-assisted monitoring, troubleshooting, and automating operational tasks within the Grafana ecosystem.

This plugin integrates AI models like Claude, Cursor, and Windsurf directly into Unity, enabling automated workflows, code generation, and AI capabilities within your games. It is ideal for game developers who want to leverage large language models for dynamic NPC behaviors, real-time debugging, and accelerated development cycles.

This MCP server enables AI agents to programmatically interact with LinkedIn, allowing them to access profiles, search for jobs and people, manage messages, and retrieve company information. It's ideal for automating professional networking tasks or gathering public LinkedIn data responsibly.

This local MCP server integrates Azure DevOps capabilities directly into AI agents, allowing natural language interaction to manage projects, builds, repos, work items, and wikis. It's ideal for developers who want to streamline Azure DevOps tasks through conversational AI within their code editor.

This artifact provides a Model Context Protocol (MCP) server for the Unity Editor, bridging AI assistants with your game development projects. It excels at enabling AI agents to programmatically manipulate Unity scenes, GameObjects, components, and project settings, streamlining AI-driven game development and automation workflows.

This is a native Go-based Model Context Protocol (MCP) server for Kubernetes and OpenShift, designed for direct interaction with the Kubernetes API. It's ideal for AI agents and developer tools needing high-performance, dependency-free cluster management across multiple environments.

This toolkit provides runtime governance for AI agents, deterministically enforcing policies on actions like tool calls, resource access, and inter-agent messages. It covers all 10 OWASP Agentic risks, offering robust security and compliance for autonomous agents across various frameworks. It shines when strict, verifiable control over agent behavior is paramount, ensuring zero policy violations.

This MCP server enables AI agents to interact with and manage Kubernetes clusters directly via a comprehensive kubectl API. It's ideal for automating cluster operations, performing AI-assisted diagnostics, and streamlining development workflows within a Kubernetes environment.

This official MCP server enables AI clients to interact with ElevenLabs' powerful Text-to-Speech, voice cloning, and audio processing APIs. It is ideal for developers building AI agents or applications that require advanced voice generation, manipulation, or transcription capabilities within the MCP ecosystem.