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
Manage test cases, execute manual or automated tests, debug issues, and even fix code—directly within tools like Cursor, Claude, or any MCP-enabled client, using plain English.
One config to rule them all. Practical standard layer for multi-LLM development.
MCP server for Overleaf projects. Syncs LaTeX files via Git, parses sections, equations, and citations, and exposes them to AI clients for assisted paper review, LaTeX fixes, and content generation.
A FastMCP tool to search and retrieve Polars API documentation.
A Multi Agent Memory MCP That Connect Agents Across Systems and Machines
Agents Council The simplest way to bridge and collaborate across AI Agent sessions
The Universal MCP Server (Rust) exposes tools for Canva workflows—and —designed for usage in MCP-compatible clients.
Put Claude Code, Cursor, Codex, Gemini & Antigravity in one room — real-time multi-agent AI collaboration over MCP for distributed dev, code review, PR handoff & frontend↔backend integration.
MCP server for querying package ecosystem data from ecosyste.ms.
The Model-Context-Protocol (MCP) gives LLMs a way to call APIs and thus access external systems in a well-defined manner.
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Local-first CLI + MCP server: Any file → AI-ready Markdown + JSON
Agent Skills
通用盗号网站注册轰炸机 适用于针对QQ、Steam等平台的各类盗号网站
A to run (Anthropic) on the host via the claude CLI (Agent SDK).
A compact high-signal benchmark for evaluating frontier agents
这是一个面向 LSPosed 模块开发 的低 Token Skill 包。它保留完整知识，但通过“启动版 + 按需知识库 + 模板 + 案例索引”的结构降低常驻上下文占用。
simple, type safe, elegant command line framework. the CLI framework for agents
Skills helping you write robust Zig code.
A coding agent harness built specifically for Motif-3
Official plugin marketplace repository for PI-Desktop
ReasBook main branch mirror for self-hosted CI
A single, readable bash script that takes a fresh Ubuntu/Debian VPS from default install to a hardened, ready-to-use server.
Skill for Hermes, and other agents, to ask typesafe's jev
A Formally Grounded, Self-Improving Agentic Framework for Automated Research in Causal Inference