3,111 artifacts
Skills, MCPs, agents, and plugins. Search to find fast, or page through the catalog.
Engineering workflow skills for Codex: think, check, hunt, ui, read, write, learn, and health.
Expert skills for building n8n workflows with n8n-mcp, with a hooks enforcement layer
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault (Karpathy's LLM Wiki pattern). v1.7 "Compound Vault" + v1.8 methodology modes close 5 of 5 priority gaps from the May 2026 compass artifact. Ships: substrate alignment with kepano/obsidian-skills, default Obsidian CLI transport, hybrid retrieval (contextual prefix + BM25 + cosine rerank per Anthropic's Sept 2024 research), per-file advisory locking for multi-writer safety, pre-commit verifier agent, AND methodology modes (LYT / PARA / Zettelkasten / Generic) for first-class organizational support no other Claude+Obsidian competitor offers. v1.7.x audit closure: every BLOCKER + HIGH + MEDIUM + LOW finding from the v1.7.0 audit is CLOSED or DEFERRED-with-rationale. Optional DragonScale Memory extension (log folds, deterministic addresses, semantic tiling lint, boundary-first autoresearch).
Add a new business memory kind end-to-end. Pick the storage combination (Markdown / SQLite / LanceDB), pick the markdown strategy (daily-log / skill-named / single-file), then wire up the schema(s), repo(s), and writer(s).
Add your description here
jscpd server application
An MCP Server for computer-use in Windows OS
XcodeBuildMCP is a Model Context Protocol server that provides tools for Xcode project management, simulator management, and app utilities.
CLI tool for managing Klavis AI MCP servers in Google Gemini CLI
DeepChat，一个简单易用的 Agent 客户端
MCP server for terminal operations and file editing
MCP server that provides session-scoped tools (SubmitPlan, config_validate, etc.) to Codex via stdio transport
TypeScript multi-agent framework: one runTeam() call from goal to result. Auto task decomposition and parallel execution for multi-step LLM jobs. Deploys anywhere Node.js runs.
Model Context Protocol (MCP) server for the QuantDinger Agent Gateway: market data, runtime overview, explicit quick trading, indicator workspace, strategies, backtests, and experiments for AI agents (Cursor, Claude Code, Codex, OpenClaw, NanoBot, ...).
MCP server for Firecrawl — search, scrape, and interact with the web. Supports both cloud and self-hosted instances. Features include web search, scraping, page interaction, batch processing, and LLM-powered content analysis.
Cursor Talk to Figma MCP
Agent Framework For Fintech
Webiny Model Context Protocol (MCP) server.
GitMCP is a tool that allows you to get the documentation for a given repository.
Comprehensive Python programming reference covering syntax, concurrency, networking, databases, ML/LLM development, and HPC
Professional finance research toolkit — backtesting (7 engines + benchmark comparison panel), factor analysis, Alpha Zoo (452 pre-built alphas across qlib158/alpha101/gtja191/academic), options pricing, 79 finance skills, 29 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 18 market-data sources (tushare, yfinance, okx, akshare, baostock, tencent, mootdx, ccxt, futu, local, eastmoney, sina, stooq, yahoo, plus optional-key finnhub/alphavantage/tiingo/fmp).
Build effective agents with Model Context Protocol (MCP) using simple, composable patterns.
Intelligence Begins with Memory
Hand off a model from Blender (via BlenderMCP) into Unity (via MCP for Unity) — export the current Blender model, import it through import_model_file, and place it in the open scene. Use when the user has BlenderMCP and MCP for Unity both connected and wants to bring a Blender model into Unity. Does NOT drive Blender's own generators; BlenderMCP owns how the model got into Blender.
Full Stack MCP framework for python, build MCP agents, clients, and servers.
A growing collection of Claude skills for producing academic work at Nature-journal standard. Covers scientific figures (nature-figure), manuscript prose polishing (nature-polishing), citation retrieval and export (nature-citation), data availability statements and FAIR metadata (nature-data), paper-to-PPTX presentation conversion (nature-paper2ppt), literature search via MCP (nature-academic-search), paper reading and annotation (nature-reader), peer-review response drafting (nature-response), and methods writing (nature-writing). Future releases planned: statistical reporting, cover letters, and review articles. All rules derived from primary sources — published Nature papers, journal author guidelines, and structured writing curricula.
AI-powered MCP server with multiple model providers
Automatic MCP server generator for FastAPI applications - converts FastAPI endpoints to MCP tools for LLM integration
Kubernetes network observability skills powered by Kubeshark MCP. Root cause analysis, traffic filtering, snapshot forensics, PCAP extraction, and more.
Convert docs and repos into AI skills via MCP
Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills. International support with Chinese (简体中文) documentation.
Run `mvn spotless:apply` to fix Java checkstyle / formatting failures and verify the result. Run after authoring or modifying any `.java` files, or when CI reports a "Java checkstyle failed" / "Fix Java checkstyle" issue on a PR.
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
MCP Toolbox for Databases enables your agent to connect to your database.
Local-first knowledge graph for token-efficient code review through MCP and CLI
MCP server for controlling the browser via Page Agent extension
Use Codex from Claude Code to review code or delegate tasks.
Give your AI Agent eyes to see the entire internet. Search + Read 10+ platforms.
Integration between n8n workflow automation and Model Context Protocol (MCP)
An agent-native intelligent learning companion with multi-agent collaboration and RAG
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.
The fast, Pythonic way to build MCP servers and clients.
A tool to pack repository contents to single file for AI consumption
Query Markup Documents - On-device hybrid search for markdown files with BM25, vector search, and LLM reranking
Transform your command-line AI agent into a modern, efficient AI Chat interface.
GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.
🤗 smolagents: a barebones library for agents. Agents write python code to call tools or orchestrate other agents.
MCP server for Next AI Draw.io - AI-powered diagram generation with real-time browser preview