Claude Desktop インストールガイド
ローカル MCP 設定に対応するデスクトップクライアント。
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
Running 5 AI agents in parallel is easy. Making them not break each other's code is the hard part.
AI agents should not give project advice from vibes.
Personal memory across agents
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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...
Open-source paid media agent for Google Ads, Meta Ads, Reddit, LinkedIn, X, and OpenAI Ads: analysis, reports, and reviewed changes, built on Deep Agents.
RPC messaging library for the VS Code extension platform
Agent skills for Obsidian. Teach your agent to use Obsidian CLI and open formats including Markdown, Bases, JSON Canvas.
A curated list of high-signal resources for (formerly , originally ): frameworks, skills, tooling, deployments, and real-world use cases.
Agent Skill: Check academic paper citations for format, queryability, thematic relevance, and semantic accuracy.
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...
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...