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MCP Servers

A collection of MCP server examples developed with Java SDKs

OmniMCP provides rich UI context and interaction capabilities to AI models through Model Context Protocol (MCP) and microsoft/OmniParser.

An AI-powered plugin for Caldera that orchestrates long-running LLM workflows to automatically create adversary emulation abilities and plan operations.

A production-ready template for developing Model Context Protocol (MCP) servers using Python and FastMCP.

ElysiaJS plugin for Model Context Protocol with HTTP transport

Интеграционный сервер, использующий Model Context Protocol (MCP), для предоставления доступа к данным и функциям Bitrix24 для больших языковых моделей (LLM) и других AI-агентов.

An Android library that integrates the MCP Kotlin SDK to enable Android applications to host MCP (Model Context Protocol) servers.

Simple MCP Manager Desktop Application

A distributed runtime system for federated AI services with edge computing capabilities.

Official CLI for muapi.ai — generate images, videos & audio from the terminal. MCP server, 14 AI models, npm + pip installable.

Runtime intelligence system that makes MCP servers debuggable, testable, and safe to run in production.

Production-grade multi-agent orchestration engine. Compose agentic workflows from a pluggable catalog of Agents, LLMs, tools, and retrievers.
Agent Skills

Installation | View Demo | Quick Start | Commands | Contribute

🧃 Token weight loss. Lean output compaction for terminal-heavy agent workflows. Works as a native CLI tool or as an extension to popular coding and agent frameworks.

Eleven Claude Code skills, ported to OpenCode. Code review, security audit, feature dev, frontend design, and the rest of the kit — installable in one line.

An explainable, cautious AI-generated text risk analyzer for coding agents and local workflows.

Skills based on the Layered Rails book and beyond

Personal AI assistant built on agentsdk-go.

A file-backed, spec-driven AI coding workflow framework for building real software while staying in control.

默认启用 26 个数据源 · LLM 摘要 · 21 个股票/加密标的** · 中英双语 · 6 个 LLM 后端可选。 : · · 。

终端里起多个会话并行干活、互相通信;长任务跑着的时候人走开了,也能从微信/企微把它喊回来。

Science is dying because the human is in the way. Not through malice. Not through stupidity. Through the structural limitations of a cognitive architecture that evolved to track prey on a savanna,...

High-performance personal AI assistant in C++17

基于 Hermes 改造的轻量级 AI 助手框架,可以快速打造商用 SaaS 平台,支持多租户隔离部署、多平台渠道接入、工具调用、定时任务和 Web 实时通信。