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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

- — wrap third-party SDK clients (Stripe, Resend, AWS, etc.) with Effect using the "use" pattern: type-safe tagged errors, automatic tracing spans, config-based secrets, and clean dependency...

以面试官的角度为你讲解C++知识(针对面试高效学习)

Portable agent skills for High Performance Computing workflows across OpenFOAM, SU2, LS-DYNA, FEniCS, CalculiX, ElmerFEM, PETSc, hypre, Trilinos, LAMMPS, GROMACS, Quantum ESPRESSO, VASP, Gaussian,...

This repository is the canonical source for a simple cloud factory: a set of agent skills and GitHub Actions workflows for moving work from an incoming issue to a verified change.

Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

OpenHarness — 24/7 Autonomous AI Framework For OpenClaw

A collection of Agent Skills that give a coding agent architectural skills to build scalable, maintainable Django projects with clean separation of concerns, testability, and a full suite of best...

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。

Local-first Behavior CI for coding agents

Convex Skills for Agents

A Codex skill for Ansys Fluent and PyFluent CFD workflows.

- using GLiNER-PII and LLM-based augmentation and validation - — LLM-generated substitute, redact, annotate, or hash (deterministic, local) - before full runs with display_record() visualization