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MCP Servers

A Model Context Protocol (MCP) server implementation that provides access to various storage services via Apache OpenDAL™.

Windows and macOS are not supported. Using Docker does not change the host OS support policy.

A Model Context Protocol server that provides Google search capabilities through the Serper API, along with an AI-powered Deep Research tool.

A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge...

It lets MCP hosts — Claude Desktop, Claude Code, Cursor, VS Code — create, query, and modify OpenStudio models, run EnergyPlus, and read results, all in plain language.

MCP Server for Cutter

JupyterMCP connects Jupyter Notebook to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Jupyter Notebooks.

Flagship Model Context Protocol server for generating Product Requirement Documents (PRDs) from codebase context.

This MCP server integrates with Google Tasks to allow listing, reading, searching, creating, updating, and deleting tasks.

A Model Context Protocol server for querying Stack Overflow. This server helps AI models find solutions to programming problems by searching Stack Overflow questions and answers.

Google Flights MCP, CLI and Python Library

A Model Context Protocol server for interacting with the Solana blockchain, powered by the Solana Agent Kit (https://github.com/sendaifun/solana-agent-kit)
Agent Skills

Personal memory across agents

Coding agents hallucinate APIs and forget what they learn in a session. Context Hub gives them curated, versioned docs, plus the ability to get smarter with every task.

Agent Skill for generating AGENTS.md files following the agents.md convention | Claude Code compatible

AI agents should not give project advice from vibes.

provide for AI agents, helping them build complete automated document workflows. Before large-model reasoning begins, ComPDF Skills can handle document parsing, OCR, data extraction, and structured...

🚀 Generate Python data models from schema definitions in seconds.

Agent-native way to access any website. Bridging agent CLI and web GUI through API.

The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...

A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.

Comprehensive best practices for building applications with the TanStack ecosystem. These skills provide AI coding agents with structured guidelines for TanStack Query, TanStack Router, and TanStack...

A multi-agent ML pipeline that turns a client's spreadsheet into a trained model and a one-page decision-support report — all inside hardened NemoClaw sandboxes.

High-value AI skills repository for Codex, Claude Code, OpenClaw, agents, prompts, and automation workflows. 高价值的 AI 技能库,涵盖 Codex、Claude Code、OpenClaw、代理、提示和自动化工作流程。