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MCP Servers

A Model Context Protocol (MCP) tool that retrieves relevant information about Godot game engine from a local ChromaDB database.

It features a simple and easy-to-use API, allowing you to communicate without worrying about MC protocol details. It runs on various platforms, including Linux, Windows, and macOS.

A comprehensive Model Context Protocol (MCP) server for Android Debug Bridge (ADB) operations, providing complete Android device management capabilities.

The Meshery MCP Server extension - an MCP server that streamlines and accelerates creating Meshery designs

Looking for the Python version? Check out Saiku.py.

Connect the power of the Fabric AI framework to any Model Context Protocol (MCP) compatible application.

Stock Trade MCP server in Tiingo with stock prices, news, forex, and fundamentals programmatically via the MCP

A Home Assistant conversation agent that uses MCP (Model Context Protocol) for efficient entity discovery, achieving compared to traditional methods. Works with LM Studio, llama.

A comprehensive Model Context Protocol (MCP) server for seamless integration with EspoCRM. This server enables AI assistants to interact with your EspoCRM instance through a standardized interface,...

An MCP (Model Context Protocol) server for Minds, allowing LLMs to interact with the Minds SDK through a standardized interface.

MCPyATS brings together the Model Context Protocol (MCP) and Cisco pyATS to build intelligent, distributed agents capable of automating network tasks via natural language.

This project provides Model Context Protocol (MCP) for the Mifos X Ecosystem, enabling AI agents to access financial data and operations.
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。