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
Quickstart · Configure your client · Comfy Cloud MCP · Tools · Contributing
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats and learn from past errors through a lesson system.
A Visual Studio Code extension to connect to Siemens TIA Portal and interact with TIA Portal projects directly from VS Code with GitHub Copilot.
mcpn.ai helps you create, organize, and share AI workflows and prompts. Like a dynamic prompt library you can share & version across MCP tools and servers for specific tasks.
Self-hosted, ultra-light, zero extra effort for the people doing the work.
CLI & MCP for GitHits - The Code Context Layer for AI Coding Agents
MCP DigitalOcean Integration
this is dynamic mcp server for runtime analysis and process hacking. it is like processhacker but for ai agents.
특허청 오픈API를 MCP 도구로 노출하는 서버. 특허·실용신안·상표·디자인을 키워드/항목/출원인/권리자로 검색하고, 출원번호로 상세 서지정보를 조회한다.
Multi-tenant · Authenticated · Observable · Rate-limited · Cached · Circuit-broken · Governed
A MCP server providing financial data from Bloomberg's blpapi.
give your AI agent a spreadsheet it can actually think in: deterministic Excel-compatible math + structured memory (blocks), real .xlsx out. Open source, self-hostable.
Agent Skills
Small, composable skills for coding agents.
Formerly known as the ODIN Claude Plugin. The repo URL stays the same; the brand has matured.
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A curated pack of security skills for external reconnaissance, web applications, APIs, authentication, vulnerability validation, attack-path analysis, and reporting.
Режим идиоматического русского мата для AI-агентов. Короче, душевнее, эффективнее. 18+
OpenShell is the safe, private runtime for autonomous AI agents. It provides sandboxed execution environments that protect your data, credentials, and infrastructure — governed by declarative YAML...
Starter-kit for writing services in Go using Kubernetes.
LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, collector catalogs, automated session capture, feedback curation, thesis-driven investigation, source ingestion, wiki...
You don't write AGENTS.md. You train it with gradient descent.
Seu mentor de Inteligência Artificial para aprender mais e melhor na DIO.
— A self-evolving second brain powered by AI agents, markdown files, and version control. No database, no vendor lock-in — just .md files that think.
In the AI era, why can't everyone be a Principal Investigator?