Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
An MCP server that hosts finite state machines as dynamic resources that multiple clients can subscribe to and be updated when their state changes.
provides a secure and verifiable method to uniquely identify agents through open and decentralized techniques.
Model Context Protocol server for Qlik Sense Enterprise. Exposes Qlik's Repository (HTTP) and Engine (WebSocket) APIs as so an LLM client can discover apps, inspect data models, query data, and...
Strimzi Kafka CLI is a CLI that helps traditional Apache Kafka users -both developers and administrators- to easily adapt to Strimzi, a Kubernetes operator for Apache Kafka.
An SDK for building MCP (Model Context Protocol) servers and clients in Scala 3 using boilerplate-less, type-safe APIs based on Tapir and sttp, supporting the variety of the Scala ecosystem.
Agentic AI Engineering is a production-grade engineering resource for building modern agentic AI systems with LangChain, LangGraph, RAG, MCP, local models, and deployable Python services.
Offline Model Context Protocol (MCP) server that serves Godot Engine API documentation from a local doc/ folder.
medusa-mcp is a designed for integration with the Medusa JavaScript SDK. It provides a scalable backend layer for managing and interacting with Medusa’s data models, enabling automation,...
tutorial for mcp server development
A proof-of-concept implementation of a Model Context Protocol (MCP) server that runs in WebAssembly (WASM) within a web browser.
Minimal API & React framework, fully type safe, OpenAPI, RSC, MCP, type safe client, streaming with SSE
Exposes MCP (Model Context Protocol) server tools as native OpenClaw agent tools.
Agent Skills
This repository provides a collection of composable Dockerfiles and build scripts for deploying and running software, full applications, and select demonstrators on AMD Ryzen AI hardware.
🧬 Darwinia Give your AI agent the power to evolve its own trading strategies. Trading agents that discover strategies through Darwinian selection and adversarial self-play — not human-written rules.
Why use many token when few token do trick?
小提示：导入数据时**，尽量不要用 JSON——多数微信导出工具的 JSON 是给 LLM 微调用的格式，没有时间戳，跑不出 K 线。详见 输入格式。
—— 一套可被任意 AI agent（Claude / GPT / Cursor…）使用的**。
面向 AI Agents 的安全、可持久化沙箱执行平台（Secure, Persistent Execution Platform for AI Agents）
Your future self will thank you. Or blame you. It depends on the diff.
TL;DR: Thea brings coding agents to the physical world.
A Claude Code plugin that audits your mobile app against store review policies — the store rejects it.
A grab-bag of experimental transformer kernels and utilities (mostly PyTorch + Triton).
10 agentes (8 de núcleo, Selina si hay frontend y Lucius bajo demanda), catálogo de 11 skills de proceso, memoria persistente de decisiones por proyecto, 6 flujos de trabajo con quality gates...
Most research-idea workflows fail in one of three ways: