Agent Skills & Prompts

Anthropic's open standard for connecting AI models to tools and data

Model Context Protocol (MCP) is Anthropic's open standard that defines how AI models communicate with external tools, resources, and data sources. Provides a universal client-server architecture for connecting LLMs to any API or service through standardized tool definitions, resource access, and prompt templates. Rapidly adopted across the AI industry as the interoperability standard for AI tool integration.

Community MCP server registry

Community-curated directory of Model Context Protocol (MCP) servers that extend AI assistants like Claude with real-world capabilities — file access, database queries, API integrations, browser control, and more. Lists servers organized by category (developer tools, data, productivity) with installation instructions and compatibility info. Helps developers discover and connect MCP servers to their AI workflows. Essential resource for the growing MCP ecosystem.

Open-source MCP server for database access

MCP Toolbox for Databases is an open-source MCP server by Google that connects AI agents to databases through a managed control plane. It handles connection pooling, authentication, and tool distribution, letting developers integrate database tools in under 10 lines of code. Supports PostgreSQL, MySQL, BigQuery, AlloyDB, Snowflake, MongoDB, Redis, ClickHouse, Neo4j, and more with ready-to-use toolsets for Claude Code, Gemini CLI, and other MCP clients.

Official TypeScript SDK for building MCP servers

The official TypeScript SDK for the Model Context Protocol, providing everything needed to build MCP servers and clients. Supports stdio, SSE, and Streamable HTTP transports with built-in auth helpers. Works across Node.js, Bun, and Deno runtimes for maximum deployment flexibility.

Open-source MCP bridge between AI assistants and the Unity Editor

MCP for Unity is CoplayDev’s MIT-licensed bridge between MCP-compatible AI assistants and the Unity Editor. It exposes tools for assets, scenes, GameObjects, scripts, tests, profiling, and build-oriented workflows. The community project supports Unity 2021.3 LTS through 6.x and is explicitly not affiliated with Unity Technologies.

Security scanner for MCP servers against tool poisoning attacks

MCP-Scan is a security tool that scans MCP servers for vulnerabilities including tool poisoning, prompt injection, cross-origin escalation, and rug pull attacks. Acquired by Snyk in 2026, it is the first dedicated security scanner for the MCP ecosystem. It analyzes tool descriptions, permissions, and behavior patterns to detect malicious or compromised MCP servers before they can exploit AI agents.

Test and debug MCP servers before they ship

Open-source platform for inspecting, debugging and regression-testing MCP servers, MCP Apps and ChatGPT apps, with OAuth and protocol conformance for local and CI workflows.

Self-hosted MCP gateway for managing multiple servers behind a single endpoint

MCPJungle is a self-hosted gateway that aggregates multiple MCP servers behind a single endpoint. It provides server discovery, health checking, access control, and request routing so AI clients connect to one gateway rather than managing individual server connections. Supports server grouping, authentication, and monitoring dashboards for production MCP deployments.

CLI package manager for MCP servers with profile-based configuration

MCPM is a command-line package manager for MCP servers that handles installation, configuration, and profile management. It supports profile-based server grouping where different AI workflows use different sets of MCP servers. Features a server registry, automatic dependency resolution, and configuration file management for Claude Desktop and other MCP clients.

MCP server manager for installing and running Model Context Protocol servers

MCPorter is a management tool for discovering, installing, and running MCP servers. It provides a registry of available servers, handles dependency installation, manages configuration, and starts servers with proper environment setup. Simplifies the process of connecting AI agents to external tools through MCP by abstracting server lifecycle management. Over 5,700 GitHub stars.

Human-in-the-loop web agent you can co-pilot in real time

Magentic-UI is a Microsoft Research web agent with a human-in-the-loop interface for browsing, coding, and file tasks. It plans multi-step actions, asks for approval before executing, and lets users co-pilot by taking over the browser mid-task. Built on AutoGen, it runs a team of specialized agents for web browsing, file handling, and code execution with full action transparency and safety guardrails.

MCP server for AI-powered UI component generation

Magic MCP is an MCP server from 21st.dev that enables AI agents to generate polished UI components inspired by modern design engineering patterns. It gives coding agents access to a library of high-quality component templates and design patterns, accelerating frontend development through intelligent component scaffolding.

Enterprise-grade RAG and MCP knowledge base with one-click deployment

MaxKB is an enterprise-grade RAG platform with 21,000+ GitHub stars from the 1Panel team. It provides one-click deployment of knowledge bases with built-in LLM integration, MCP support, and a streamlined approach to document ingestion and retrieval that prioritizes operational simplicity over configuration complexity.

On-device ML solutions for mobile and edge AI

MediaPipe is Google's open-source framework for building on-device machine learning pipelines across mobile, web, desktop, and edge platforms. It provides pre-built solutions for face detection, hand tracking, pose estimation, object detection, image classification, text classification, and on-device LLM inference. MediaPipe runs entirely locally without cloud dependencies, supporting Android, iOS, Python, and web browsers.

SQL-native memory infrastructure for AI agents and applications

Memori is an AI memory engine that provides persistent, queryable memory for agents and applications using SQL-native storage. It stores structured memories with semantic search, temporal awareness, and relationship tracking, enabling AI systems to remember user preferences, past interactions, and contextual facts across sessions. With 12,900 GitHub stars, it offers a database-native approach to the agent memory problem.

Single-file memory layer replacing complex RAG for AI agents

Memvid is an open-source single-file memory system for AI agents with 13,700+ GitHub stars. It replaces complex RAG infrastructure with instant retrieval from portable .mv2 files, claiming 35% accuracy improvement over state-of-the-art on LoCoMo benchmarks with 0.025ms P50 latency. Available for Python, Node.js, Rust, and CLI.

Multi-agent framework simulating a software company

MetaGPT is an open-source multi-agent framework with 56K+ GitHub stars that simulates a software company by assigning roles — product manager, architect, engineer, QA — to AI agents collaborating through structured SOPs. Given a one-line requirement, it outputs user stories, competitive analysis, data structures, APIs, and working code. Features incremental development, human feedback integration, and experience-based learning for continuous improvement across iterations.

Connect AI agents to hundreds of integrations via one interface

Metorial is an open-source integration hub that connects AI agents to hundreds of third-party services through a single interface with built-in OAuth handling, scaling, and monitoring. It simplifies the complexity of managing multiple MCP connections by providing a unified connector layer for agentic workflows.

Unified Python/.NET framework for multi-agent AI

Microsoft Agent Framework is Microsoft's official unified SDK for building multi-agent AI workflows in Python and .NET. It consolidates Semantic Kernel and AutoGen into a single framework with MCP tool integration, graph-based workflows, human-in-the-loop patterns, and multi-agent orchestration. The framework reached Release Candidate status in February 2026 and is Microsoft's recommended path for production agent development.

MCP server for MiniMax speech, video, and image APIs

Official MiniMax Model Context Protocol server enabling AI applications and code editors to access text-to-speech, voice cloning, image generation, video generation, and music creation APIs. Designed for Claude Desktop, Cursor, and Windsurf integration with stdio and SSE transport support, regional API endpoints for global and China regions, and flexible resource handling for seamless generative AI workflows.

Open-source dashboard for AI agent orchestration

An open-source dashboard for managing AI agent fleets. Dispatch tasks, monitor progress, and orchestrate multiple agents working in parallel on your codebase. Provides real-time visibility into agent activity, error tracking, and resource allocation so teams can scale autonomous coding workflows with confidence.

MCP server for mobile device automation and testing

Mobile MCP is an open-source MCP server that enables AI agents to automate Android and iOS devices — navigating apps, tapping elements, extracting screen content, and running tests on simulators, emulators, and physical devices. It brings agentic mobile engineering to any MCP-compatible AI assistant.

YC-backed multimodal RAG platform for documents, images, and video

Morphik is a YC-backed multimodal RAG platform that ingests and retrieves information from documents, images, tables, and video content. It processes complex document layouts including charts, diagrams, and multi-column formats that traditional text-only RAG systems handle poorly. Provides API-first integration for building knowledge bases that understand visual as well as textual information.

Open-source platform for managing AI coding agents as teammates

Multica is an open-source managed agents platform that lets you assign coding tasks to AI agents like Claude Code and Codex as if they were team members. It provides a unified dashboard for task assignment, execution monitoring, and skill reuse across local and cloud compute environments. With multi-workspace support, team-level isolation, and reusable skill compounding, Multica turns autonomous coding agents into organized, trackable development resources.

Secure sandboxed runtime for AI agent execution

NVIDIA OpenShell provides kernel-level isolation for AI agent workloads with Landlock, seccomp, and network namespace sandboxing. Announced at GTC 2026 with 17 enterprise partners including Adobe, Atlassian, SAP, and Salesforce, it offers declarative YAML policy enforcement, L7 HTTP inspection, and GPU passthrough — purpose-built to contain the blast radius when autonomous coding agents interact with filesystems and networks.

Open-source platform for building API integrations

Nango is an open-source API integration platform that handles OAuth authentication, data synchronization, and proxying for 700+ APIs in a single self-hostable package. It manages token refresh, rate limiting, field mapping, and webhook syncing so developer teams can connect AI agents and products to external services in hours instead of weeks. Backed by Y Combinator W23 with $7.5M in funding.

Framework for converting MCP servers into autonomous AI agents with UI

Nanobot transforms MCP servers into full autonomous agents by adding a planning layer, conversation memory, and web-based UI on top of MCP tool capabilities. It enables building agents that combine multiple MCP servers with LLM reasoning to complete multi-step tasks. Features MCP-UI for browser-based interaction and supports any MCP-compatible tools as agent capabilities.

Observability data accessible to AI agents via MCP

Netdata's MCP integration exposes infrastructure monitoring, discovery, and root-cause analysis capabilities to AI agents. Built into the 78K+ star Netdata monitoring platform, it lets agents query real-time metrics, explore system health, investigate incidents, and generate observability reports through the Model Context Protocol.

Official Notion MCP server for AI-agent workspace access

Notion MCP Server is Notion's official MIT-licensed MCP server for connecting AI assistants to Notion workspaces. It supports the vendor-backed remote OAuth path and tools designed for page, workspace, and Markdown-style operations, making it a safer default than unofficial Notion bridges for teams already using Notion for docs, projects, or internal knowledge bases.

Browser automation framework turning websites into action APIs

Notte is a browser automation framework for AI agents that converts any website into a structured action API. Instead of scraping pages for text, Notte lets agents interact with sites — clicking buttons, filling forms, and navigating flows. Built with hybrid AI-plus-deterministic scripting, it includes digital personas, CAPTCHA solving, and proxy management for reliable automation at scale.

Multi-agent orchestration layer for OpenAI Codex CLI

Oh My Codex (OMX) transforms OpenAI Codex CLI into a coordinated multi-agent system. It layers workflow orchestration, persistent memory, team-based parallel execution via tmux worktrees, and a live HUD dashboard on top of standard Codex. OMX provides 30+ role-specialized agents and 40+ workflow skills covering planning, execution, verification, TDD, security review, and autonomous research loops.

Microsoft's screen parsing model for GUI agent interaction

OmniParser is Microsoft's open-source screen parsing toolkit that converts GUI screenshots into structured, actionable data for AI agents. It detects interactive UI elements like buttons, input fields, and icons, then generates grounded descriptions that enable language models to interact with any desktop or web application. Accumulated over 24,000 GitHub stars as a foundational layer for computer-use agents.

Fork, customize, and ship AI agents on Vercel in minutes

Open Agents is a Vercel Labs open-source template for building and deploying cloud-hosted AI agents. It provides a production-ready Next.js starter with built-in tool use, streaming responses, multi-model support, and deployment on Vercel infrastructure. Developers can fork, customize agent behavior and tools, then ship agent-backed apps in minutes with automatic scaling and edge routing.

Open-source async coding agent you can run in your own sandbox

Open-source framework from LangChain AI for building your organization's internal coding agent — the same pattern Stripe's Minions, Ramp's Inspect, and Coinbase's Cloudbot follow. Built on LangGraph and Deep Agents, Open SWE runs each task in an isolated cloud sandbox (Modal, Daytona, Runloop, or LangSmith), invokes from Slack, Linear, or GitHub, orchestrates subagents, and opens pull requests autonomously — customizable end-to-end for your codebase and conventions.

Lightweight multi-agent handoff framework by OpenAI

OpenAI Swarm is an experimental lightweight framework for building multi-agent systems with handoff patterns. Agents are defined as simple Python functions with instructions and tool lists, and can hand off conversations to other specialized agents. Designed to be minimal and educational rather than production-ready — demonstrates patterns for agent coordination without heavy abstractions. Runs on OpenAI's Chat Completions API with function calling for tool use and agent transitions.

Open-source financial data platform for quants, analysts, and AI agents

OpenBB is an open-source financial data platform that normalizes data from 100+ providers into a unified Python SDK, REST API, and Excel Add-in. It serves as the open-source alternative to Bloomberg Terminal for developers building fintech applications, quantitative research pipelines, and AI-powered financial analysis tools. With over 65,000 GitHub stars and SOC 2 Type II certification, it is one of the most popular open-source developer tools for financial data.

Rust-based agent OS with built-in security, WASM sandboxing, and multi-agent runtime

OpenFang is an open-source agent operating system built in Rust that provides a secure multi-agent runtime with WASM sandboxing, auditability layers, and multi-channel communication. It goes beyond typical orchestration SDKs by treating agent security and operational isolation as first-class concerns, making it suitable for teams deploying agents in environments where trust boundaries and audit trails matter.

Local-first personal AI agent with memory trees, desktop integrations, and private workspace context.

OpenHuman is an open-source, local-first personal AI agent from TinyHumans. It combines a desktop app, persistent memory trees, Obsidian-compatible storage, OAuth integrations, and local model support into a private assistant harness. It is most interesting for users who want agentic workflows and long-term memory without handing every context detail to a fully cloud-hosted assistant.

Open-source general AI agent framework from the MetaGPT team

OpenManus is an open-source framework for building general-purpose AI agents, developed by core contributors from the MetaGPT community. It provides a modular architecture with planning agents, reactive agents, and tool-calling agents that can execute code, browse the web, search for information, and handle files. Built as the open alternative to Manus AI, it gained over 55,000 GitHub stars and supports multi-agent collaboration with real-time execution feedback.

Enterprise-grade sandbox for AI agent code execution

OpenSandbox is an open-source sandbox platform from Alibaba providing secure, isolated execution environments for AI coding agents. It supports Python, Java, JavaScript, and C# SDKs with a unified Sandbox Protocol for custom runtimes. Integrates with Docker and Kubernetes, offering isolation through gVisor, Kata Containers, and Firecracker microVMs with per-sandbox network controls.

Spec-driven development for AI coding assistants

OpenSpec is an open-source spec-driven development framework by Fission-AI for AI coding assistants. It adds a lightweight spec layer so developers and AI agents agree on what to build before any code is written. OpenSpec organizes changes in dedicated folders for proposals, specs, design docs, and tasks, and works across 21+ AI coding tools including Claude Code, Cursor, Windsurf, Continue, Gemini CLI, GitHub Copilot, and Amazon Q — bringing structured planning to agentic development.

LangChain CLI for maintaining agent-friendly codebase documentation

OpenWiki is LangChain’s open-source CLI for generating and maintaining an agent-focused wiki inside a codebase. It can create an openwiki/ documentation folder, update it from repository changes, add guidance to AGENTS.md or CLAUDE.md, and run via an interactive CLI or daily GitHub Action so coding agents have durable context without stuffing every detail into prompts.

Structured generation for LLMs

Outlines is an open-source Python library for structured text generation that guarantees LLM outputs conform to a defined schema or format. It constrains the model's token selection at each step so only tokens leading to valid output are considered, eliminating fragile post-processing. Supports multiple-choice constraints, regex patterns, JSON Schema, and type-safe Pydantic models — helping teams extract reliable structured data from any LLM.

State-of-the-art OCR toolkit supporting 100+ languages from Baidu

PaddleOCR is an open-source OCR toolkit from Baidu's PaddlePaddle ecosystem with over 73,000 GitHub stars. It provides ultra-lightweight and high-accuracy text detection and recognition for 100+ languages including CJK, Arabic, and Indic scripts. The toolkit offers pre-trained models, easy deployment via pip, and server/edge inference options for document digitization workflows.

In-page AI browser agent via a single script tag

Page Agent is Alibaba's open-source JavaScript library that embeds an AI GUI agent directly into any web page through a single script tag injection. Unlike headless browser tools that operate externally, Page Agent works inside the DOM using text-based manipulation for natural language QA testing, enterprise copilots, and making legacy web apps AI-native. It supports BYOLLM with any model provider and requires no backend changes.

Vectorless, reasoning-based RAG that reads documents like a human expert — no vector DB, no chunking.

PageIndex is a vectorless, reasoning-based RAG system that builds hierarchical tree indexes from long documents and uses LLMs to navigate them like a human expert would. Instead of chunking text and comparing embeddings, it constructs a table-of-contents-style structure and reasons its way to the right sections — no vector database required. Available as an open-source Python package, cloud API, MCP server, and chat platform.

Behavioral control layer for reliable customer-facing AI agents

Parlant is an open-source framework that adds behavioral governance to conversational AI agents. Instead of relying on prompt engineering alone, it lets teams define explicit policies, conversation guidelines, and behavioral rules that agents follow predictably across multi-turn interactions. Parlant sits between the LLM and the user-facing interface, enforcing consistent agent behavior for customer support, sales, and service automation use cases.

NVIDIA's real-time persona-driven voice dialogue model

PersonaPlex is NVIDIA's open-source, full-duplex speech-to-speech conversational AI model that enables persona control through text-based role prompts and audio-based voice conditioning. Built on the Moshi architecture, it produces natural, low-latency spoken interactions with consistent persona across conversations. The model supports multiple pre-packaged voice embeddings for both natural and varied speaking styles, making it suitable for building interactive voice agents and assistants.