Claude Desktop 安装指南
支持本地 MCP 配置的桌面客户端。
MCP Servers
A standalone Windows MCP server that gives Claude Google search and web research capabilities, powered by SerpAPI. It ships as a single self-contained .exe — no Node.
Most AI agents still explore documentation the expensive way:
A transparent proxy that shows every real tool call between your AI client and your MCP servers, live in your terminal.
A MCP (Model Control Protocol) SEO tool service based on Ahrefs data. Includes features such as backlink analysis, keyword research, traffic estimation, and more.
MCP server connecting to Kubernetes
Some users may see already installed with an old version when running brew upgrade claude-in-mobile. This happens when the local tap points to the wrong repository. Fix:
mcp-name: io.github.surendranb/google-analytics-mcp
All APIs included are public and free - no Dexscreener API key required to get started. Optional free Moralis key unlocks holder data.
See a demo here: https://www.youtube.com/watch?v=KG6TMLD8GmA
Easily convert tool, agents and orchestrators from existing agent frameworks to MCP servers
A reasoning implementation for Claude Desktop that lets you use both Beam Search and Monte Carlo Tree Search (MCTS).
███╗ ███╗ ██████╗██████╗ ██████╗ ██████╗ ███╗ ██╗███╗ ██╗███████╗ ██████╗████████╗ ████╗ ████║██╔════╝██╔══██╗ ██╔════╝██╔═══██╗████╗ ██║████╗ ██║██╔════╝██╔════╝╚══██╔══╝ ██╔████╔██║██║ ██████╔╝ ██║...
Agent Skills
Professional post-match team reports from — a clean Python package + an agent skill, built on the Post-Match-Report-2.0 blueprint.
The definitive list of agent skills and template libraries for generating beautiful, single-file HTML presentations — for Claude Code, Codex, Cursor, OpenClaw, and Hermes.
Split "planning by chatting with an agent" from "visualizing + executing" into two independent modules:
基于 Andrej Karpathy 提出的 LLM Wiki 模式 构建的 Agent Skill，通过四阶段流水线将碎片化信息转化为结构化、可检索、持续增长的个人知识库。
On agent | Claude Code, Codex, OpenCode, Antigravity, Copilot, Cursor, Grok-Build, Pi, Hermes, OpenClaw, etc.
A complete development workflow for AI coding tools
audit-prompt-caching is a portable Codex/agent skill for finding why LLM cache reuse fails across the request path: prompt/prefix caches, provider cache telemetry, cache-aware routing, agent tool...
Turn one human UI page flow into reusable automation capabilities, then assemble new testing flows from those capabilities instead of recording everything again.
Review reconstructed geometry and generated CAD documents before using this version in production.
本地零成本会议 / 面试录音转录 + AI 智能清洗工作流。告别飞书妙计 / 通义听悟，30 分钟录音直接出 Markdown 或 Word，给 AI agent 一句话就能跑完。
DevingGo 是基于 的企业级前后端一体化开发框架，采用模块化架构，内置权限管理、代码生成、任务调度等功能，支持 （AI 辅助编程）一键生成前后端代码。
The .NET Evaluation Toolkit for AI Agents