Browse the catalog

Browser-native WebAssembly microcontainer node runtime (Bolt.new WebContainers style)

Provides AI models with structured design guidelines and system prompts for creating consistent, high-quality interactive visualizations like charts, diagrams, and mockups. It enables on-demand loading of UI specifications to optimize token usage while ensuring visually polished and functional widget generation.

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.

A Model Context Protocol server that enables working with Building Information Modeling (BIM) files by converting IFC files to fragment format and querying BIM data by category.

Process screenshots Enzo shares with comments.

Enables AI agents to understand web page structure and content through structured data extraction and element discovery using Playwright, eliminating the need for screenshots.

A light-weight symbol-level code intelligence server for AI agents and code editors: agents connect over the Model Context Protocol, editors over the Language Server Protocol.

Domain intelligence via MCP: IP geo, SSL cert, DNS records, WHOIS registration. 3 tools. Free + $19/mo Pro.

Directed acyclic graph (DAG) topological sorting and Tarjan's strongly connected components (SCC) engine for agent dependency resolution.

AI agent skills for Claude Code, Cursor, and Codex. Empower LLMs to perform trace-based testing, before/after trace comparison, and deterministic verification via MCP.

AI agent identity, permissions, trust scores, and tamper-evident audit trails via Vorim AI

Public repository for Advanced Unity MCP by Code Maestro (www.code-maestro.com).

Inspector MCP server by Valerio Barbera that provides AI assistants with direct access to Inspector APM (Application Performance Monitoring) data for debugging and performance analysis. Built with PHP using the php-mcp/server library and Guzzle HTTP client, it integrates with Inspector's REST API to retrieve production errors, transaction performance data, and detailed execution timelines. The implementation offers four main tools: retrieving recent production errors with AI-powered fix suggestions, analyzing individual errors with stack traces and code context, identifying worst-performing transactions with categorization by criticality, and examining detailed transaction timelines including database queries and N+1 detection. Designed for developers and DevOps teams who need conversational access to production monitoring data, enabling use cases like proactive debugging, performance optimization, and incident response without manually navigating the Inspector dashboard.

An MCP server that lets AI delegate complex tasks to specialized sub-agents equipped with their own tools and safety guardrails.

AI shopping assistant and Pay-in-4 flexible credit planner (Klarna style)

Search and retrieve Grokipedia articles with filters, full content, and citations. Explore related pages and extract sections to quickly gather relevant knowledge. Run guided workflows to research topics, find sources, and compare subjects.

Reference architecture exploring governance patterns for AI systems using the Model Context Protocol (MCP) when interacting with enterprise platforms, with a focus on policy enforcement, auditability, and control-plane design.

Arquestra is an AI orchestration platform for scientific computing, enabling management of computational chemistry tasks and high-performance computing (HPC) workflows. The MCP server exposes tools for creating and managing compute runs, listing machines, and retrieving workflow state. Authentication uses OAuth 2.0 PKCE with tokens managed locally.

Exposes sales outreach and psychological profiling tools (psyche, research, DMs) plus resources (archetypes, methodologies) for Claude Code.

Provides read-only access to the 27-0 NRL game knowledge including rules, roster constraints, and official links for MCP-compatible AI clients.