Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers
An MCP server for reading, searching, organizing, and sending email through IMAP and SMTP.
Tableau's official MCP Server. Helping agents see and understand data.
@cyanheads/git-mcp-server A Git MCP server for AI agents. STDIO & Streamable HTTP. 28 Tools · 1 Resource · 1 Prompt
MCP server that gives LLMs access to formal verification via Z3 (SMT solver) and SWI-Prolog (via prolog-wasm-full, includes library(clpfd)), plus tree-sitter-based source code analysis.
This Agent MCP allows you to train external intelligence with zero GPU and let you trade it at Tetrees EX
Claudeに身体性を与えるMCP群
Fast, cheap, typed judgments from TypeSafe's Jev model, as MCP tools.
传说，在每一行代码的阴影里，蛰伏着一头来自深渊的**。它以**为食，以**为巢。无人得见其形，只因它的**。它不追逐光，不咆哮于风，只等**。当**，幽狼便**——那时，，仿佛整个世界都不曾察觉。唯有虚空记得：
iida-mcp 是一个 IDA Pro 插件，通过本地 HTTP MCP 服务暴露当前 IDB 的静态分析能力。
Demo only. Actual searches run by default (no visible browser). Set SURF_HEADLESS=false to make Chrome visible like in the clip above.
— 优先支持静态分析、dry-run 与本地靶场。exploit、横向移动、持久化、C2、数据外传等高风险能力属于受限实验特性；policy 与 sandbox 元数据不等同于操作系统或容器级隔离。
Point at any GraphQL or REST API. Ask questions in natural language. The agent fetches data, stores it in DuckDB, and runs SQL post-processing. Rankings, filters, and joins over returned data work .
Agent Skills
The Best AI Agent Framework for Agent Collaboration.
The open sharing protocol for the agentic era. A Linux Foundation AI & Data Project
Agent Skills
- : Turn your idea into a video using your coding agent. - : Edit and animate using drag and drop. - : Connect to data, and manage complexity with code.
Reverse-engineer any design system into a Claude-ready skill. Pure static analysis. No AI. No API keys.
Craft AI-driven interface effortlessly🤖
Official Pulumi Agent Skills for writing, migrating, and operating infrastructure with AI coding agents
- [2026/05/01] 🔥 (📃Paper) has been released.
A Claude Code of the skills we share at AI Builder Club for building : agents that get triggered on their own, pick up work, ship it, verify it, and log what they learned, so the work compounds...
"To achieve great things, two things are needed: a plan and not quite enough time." - attributed to Leonard Bernstein
Commonplace studies how agentic systems can change after deployment through inspectable knowledge artifacts.
LiteRT-LM is Google's production-ready, high-performance, open-source inference framework for deploying Large Language Models on edge devices.