GitHub-backed registry and CLI for local AI resources. Search, pull, and submit reusable skills, tools, templates, datasets, and workflow artifacts.
An AI-powered server that helps users understand Pulseq code and MRI physics principles through natural language interactions.
Configured Puppeteer Vision MCP server for website scraping with specific settings for specify4it.com
Enables AI assistants to reliably fetch web content as markdown and search the web by bypassing bot detection and rendering JavaScript. Provides tools to unblock URLs and search the web with results converted to markdown format.
A Model Context Protocol server that provides PureScript development tools for AI assistants, enabling code analysis, type lookups, and IDE server management without requiring heavy IDE setup.
Enables querying the Purupuru universe codex programmatically, including characters, locations, Jani variants, and Wuxing elements, with anti-hallucination validation and fuzzy search.
Generates complete PyAirbyte data pipeline code and setup instructions for moving data between 600+ Airbyte source and destination connectors or to Pandas DataFrames, using AI-powered context-aware guidance based on connector documentation.
Enables LLM agents to perform Bayesian Maximum Entropy geostatistical analysis through natural language rather than code, supporting spatial, network, and physics-informed uncertainty modeling.
Enables beginner-friendly Python and Pybricks development support through RAG-powered tools that search official documentation, suggest code snippets, and provide version-aware guidance for LEGO robotics programming.
A BLE fitness device simulator that enables AI agents to control simulated heart rate monitors, treadmills, and cycling trainers via the Model Context Protocol. It integrates ESP32 firmware, an MQTT broker, and a FastAPI backend for comprehensive device management and real-time interaction.
An MCP server that enables LLM agents to interact with PyerP ERP systems via a REST API. It allows users to search, read, create, and update ERP records such as inventory, clients, and users using natural language.
An MCP server that provides AI assistants with full access to Fastmail accounts for managing email, contacts, calendars, and file storage. It implements 42 tools across JMAP, CardDAV, CalDAV, and WebDAV protocols to enable comprehensive account interaction through natural language.
Enables Python code execution in a sandboxed environment with virtual file system management and pip package installation capabilities.
A simple, tiny, and asynchronous server and client implementation for the Modern Context Protocol that allows you to easily expose functions as remote tools using a decorator with hot-reloading capability.
Asynchronous Python library for building Model Context Protocol (MCP) servers and clients over HTTP/SSE, ideal for AI agents, tool integrations, and chatbot ecosystems.
Provides 18 tools for MacCMS spider development, including website analysis, source code generation, selector debugging, and file operations.
A template repository for creating custom Model Context Protocol (MCP) servers in Python that can be integrated with applications like Claude Desktop or Cursor.
Control PyMOL from Cursor via natural language. Enables describing molecular structures and styles in plain language to execute PyMOL commands through XML-RPC.
Enables Claude to control PyMOL for molecular visualization and structural biology analysis. It uniquely features screenshot capture capabilities that provide a visual feedback loop, allowing the AI to see and verify the results of its commands.
Model Context Protocol server for pyobfus — the Python obfuscator. Lets Claude Desktop, Claude Code, Cursor, Windsurf, and Zed call pyobfus tools (preflight risk check, zero-config init, reverse stack-trace mapping) directly from an agent conversation.

