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MCP Servers

Elixir Model Context Protocol (MCP) SDK (hermes-mcp fork)

is a semantic testing framework for .NET — write AI tests in , run them with .

This repo contains MCP tools and sample agents for fetching public information from Data Commons.

The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.

MCP server for LibreNMS management

Paper | Features | Installation | Usage | CLI | Development

A Kubernetes-focused Model Context Protocol (MCP) server built in Go. It exposes Kubernetes operations as MCP tools and supports stdio, sse, and streamable transports.

Canvas MCP Client is an built around an infinite, zoomable, and pannable canvas. It provides a unified interface for interacting with multiple MCP (Model Context Protocol) servers through a flexible,...

基于滴答官方文档生成的日程待办增删改查MCP服务

Autonomous AI orchestration architecture combining with the for hands-free development workflows. This system leverages the Model Context Protocol (MCP) for seamless agent coordination.

This is a Model Context Protocol (MCP) server implementation for Redmine. It integrates with Redmine's REST API to provide ticket and project information to LLMs.

Real Estate AI Agent System is a Python-based solution that leverages AI agents and Bright Data's Model Context Protocol (MCP) server to extract, process, and deliver structured real estate property...
Agent Skills

Design, scaffold, build, review, evolve, and publish production-grade Claude Code skills following the Agent Skills open standard.

This repo is the companion project for the YouTube build: (watch on YouTube)

AI agent skills for Trust Wallet — API endpoints, CLI tools, and open-source libraries across .

"A true master teaches not by telling, but by refining." - The Skill Sensei

into a disciplined four-stage slide-generation workflow:

Reusable finance Agent Skills — grounded in LLMQuant Data

While other collections link to external repositories, provides a self-contained, ready-to-use library of complete skills. Every skill in this repository is a full SKILL.

BuilderOS is the successor to PLAID — Product Led AI Development. The PLAID skills have been refactored into standalone BuilderOS skills; new development happens here.

Dunford on positioning. Schwartz on copywriting. Cialdini on persuasion. Ogilvy on advertising. Hormozi on offers. Voss on negotiation.

Skills are folders of instructions, scripts, and resources that Claude loads dynamically to improve performance on specialized tasks.

A context harness for AI agents — and for building them: one unified workspace over your code, memory, skills, docs, messages, and every data source.

A reduced, higher-signal library of agent skills for ChatGPT. The repo now favors fewer, broader skills with real deterministic tooling over a long tail of thin utility wrappers.