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MCP Servers

MCP server for interfacing with Godot game engine. Provides tools for launching the editor, running projects, and capturing debug output.

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

MCP server for document format conversion using pandoc.

- This project will install MCP - Model Context Protocol Server, that provides configured Oracle Database Table/Columns as context to LLM's.

InsForge turns your coding agents into full-stack builders, letting them add backend features like auth, databases, file storage, serverless functions, and LLMs to your apps in seconds.

AIFT is a GUI, CLI, REST API, and MCP tool that helps DFIR analysts get oriented quickly. Point it at disk images, VM images, forensic archives, or triage packages; AIFT discovers what can be opened,...

Want a ready-to-use AI experience for DataWorks without manual MCP setup?

A Model Context Protocol (MCP) server that provides real-time access to Zillow real estate data, built with Python and FastMCP.

MCP server for Minecraft Development

A powerful server implementation that enables Claude AI to interact with React applications through the Model Context Protocol.

Outline now ships an — we recommend using it. Read the docs.

A Model Context Protocol server providing market research and business analysis capabilities through 28 tools, 15 business prompts, and integration with 8 economic data sources.
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。