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
This project provides tools to enhance the capabilities of Large Language Models (LLMs) in generating SPARQL queries for specific endpoints:
Bringing official Census Bureau statistics to AI assistants everywhere.
The dicom-mcp server enables AI assistants to query, read, and move data on DICOM servers (PACS, VNA, etc.).
A Model Context Protocol (MCP) server that enables AI assistants to interact with Slack workspaces. This server provides a bridge between AI tools and Slack, allowing you to read messages, post...
🗓️ A CalDAV Model Context Protocol (MCP) server to expose calendar operations as tools for AI assistants.
A server that helps people access and query data in databases using the Legion Query Runner with integration of the Model Context Protocol (MCP) Python SDK.
Provides an API layer in front of the Ollama API, seamlessly adding tools from multiple MCP servers so every Ollama request can access all connected tools transparently.
This guide will help you set up a basic MCP (Model Context Protocol) server in .NET, configure it in VS Code, and interact with it using Copilot Chat.
Server implementation of the Model Context Protocol (MCP). Currently allows tools to be exposed to LLMs supporting the protocol.
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A Go implementation of the Model Context Protocol (MCP) with comprehensive streaming HTTP support. This library enables efficient communication between client applications and tools/resources.
A persistent, multi-agent server. Continuum gives AI coding agents — Claude Code, OpenCode, Codex, Gemini CLI — a shared, live view of a codebase and a memory that survives across agents and sessions.
Agent Skills
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One interface for Claude Code, Codex, Copilot, OpenCode, and Pi agents.
Due-Process Review for Bounded LaTeX Revision
Copy this repo into any project. Claude Code, Codex, and other agentic tools then follow the same gated process — spec, plan, task cards, implementation, verification, review — before code reaches...
The definitive list that answers "I want to do X in Python, which tool should I use?"
Skills for agents.
Design-first Go framework that generates API code, documentation, and clients. Define once in an elegant DSL, deploy as HTTP and gRPC services with zero drift between code and docs.
Tula is an open-source collection of OpenClaw skills, configurations, and patterns designed to transform a general-purpose AI agent into a personal health intelligence assistant.
This repository is a self-developed Codex skill system for economics paper writing, revision, style adaptation, table/figure design, and workflow routing.
Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.
Dinero.js lets you create, calculate, and format money safely in JavaScript and TypeScript. dinerojs.com
The open-source cockpit for AI coding agents. Map your repo, control what your agents can touch, and see what changed before you ship.