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 minimalist implementation of agents powered by LLMs and Model Context Protocol (MCP) tools.
This project demonstrates the integration of the Model Context Protocol (MCP) with AutoGen (AG2), showcasing a powerful pattern for building modular, tool-enabled AI agents.
A testing suite and reference implementation for the Model Context Protocol (MCP).
We build reliable servers thoughtfully designed for MCP Client-powered workflows.
This project is a Model Context Protocol (MCP) server for KiCad. As MCP server that utilizes KiCad's official IPC-API, it provides the most stable and reliable way for AI models like Claude to...
A Model Context Protocol (MCP) server that provides basic mathematical, statistical and trigonometric functions to Large Language Models (LLMs).
A TypeScript library that bridges OpenAI's Realtime API with Model Context Protocol (MCP) servers, enabling voice-driven tool execution.
A Model Context Protocol (MCP) server running on ESP32 (and Nordic nRF52840 in sensor-only mode), exposing real-world sensor data and bus protocols to AI assistants and automation tooling over...
Kernel-level sandboxing for LLM agent tool calls made through the Model Context Protocol (MCP).
"The question is not what you look at, but what you see." — Henry David Thoreau
A GitHub CLI extension that seamlessly runs the github-mcp-server as a bundled binary using your existing gh authentication.
CLI for Notion using the Model Context Protocol (MCP)
Agent Skills
Reusable agent skills for Codex and other Agent Skills compatible tools.
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.
Resource as Code for Apache Kafka and beyond Topics, ACLs, schemas, quotas, and connectors: declared in Git, reconciled against your real clusters. Kafka-first. Platform-ready.
A comprehensive development toolkit designed following Anthropic's Claude Code Best Practices for AI-assisted software development.
HEY CLI and Agent Skills
The Pi extensions and skills I use to keep long agent sessions useful without building a fake operating system around them.
Autonomous AI coding with spec-driven development
Personal dotfiles repository for development tools and environments.
A multi-agent workflow system for GitHub Copilot in VS Code that brings structure, quality gates, and long-term memory to AI-assisted development.
🤗 image matching webui
⚡️🎉A PyTorch-native Inference Engine with Cache, Parallelism, Quantization and CPU Offload for DiTs
A visual tool to edit HTML and Markdown files, leave comments like a Google Doc, and send feedback to your AI agent. Works inside your favorite AI harness.