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
is a Model Context Protocol (MCP) server repository specifically designed for the OceanBase ecosystem.
Claude Code MCP is an implementation of Claude Code as a Model Context Protocol (MCP) server. This project allows you to use Claude Code's powerful software engineering capabilities through the...
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.
This repo contains MCP tools and sample agents for fetching public information from Data Commons.
is a semantic testing framework for .NET — write AI tests in , run them with .
Process documents 100x larger than your LLM's context window—without vector databases or chunking heuristics.
As AI systems become increasingly integrated into software supply chains, enterprise applications, and security infrastructure, the need for structured, secure, and interpretable model interaction...
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A Model Context Protocol (MCP) server providing access to the comprehensive OpenNutrition food database with 300,000+ food items, nutritional data, and barcode lookups.
Bu proje, modern yapay zeka uygulamaları için geliştirilmiş, durum bilgisi tutabilen (stateful), güvenli, optimize edilmiş ve ölçeklenebilir bir aracı (gateway) sunucusudur.
A Model Context Protocol (MCP) server that connects your Whoop health data to Claude. Designed to be hosted remotely and used as a custom connector in Claude.ai.
This repository provides example implementations of MCP (Model Context Protocol) in Python and Typescript, based on the specification: 📄 MCP Streamable HTTP Spec.
Agent Skills
The definitive list that answers "I want to do X in Python, which tool should I use?"
Opinionated Oxlint rules for rejecting low-evidence TypeScript and JavaScript patterns
A prompt-first starter kit for turning repeated coding-agent mistakes into durable repository instructions, checks, memory, and evaluation.
Preline UI is an open-source set of prebuilt UI components based on the utility-first Tailwind CSS framework.
[NeurIPS 2025] Open-source Multi-agent Poster Generation from Papers
Rust-first autonomous agent runtime with functional parity goals against NousResearch/hermes-agent, plus an Ultra reliability, security, and operator-control layer.
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
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Commonplace studies how agentic systems can change after deployment through inspectable knowledge artifacts.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
A composable library of skills and rules for AI coding agents. Covers repo memory, long-horizon execution, multi-agent coordination, TDD, security review, and delivery automation.
🔥 Open-source web data agent optimized for structured web research