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MCP Servers
A that lets you chat with large language models and seamlessly plug in external tools. Spin up multiple FastMCP servers (Weather & Currency) alongside a Streamlit client, all orchestrated with Docker...
Omnigentx Jarvis — voice + chat AI assistant powered by Fast Agent (MCP) with Vue dashboard. Single-user, self-hosted, multi-skill orchestration.
A collection of MCP server examples developed with Java SDKs
A Model Context Protocol (MCP) server that provides Google Search functionality using Gemini's built-in Grounding with Google Search feature.
A lightweight MCP server that encapsulates the Exa Pool API as a toolkit for AI assistants to call.
gollem provides: - to query prompt to Large Language Model (LLM) services - Generate / Stream: Generate text content from prompt (with per-call option overrides) - GenerateEmbedding: Generate...
This server implements an MCP (Model Context Protocol) server with WebSocket enhancements for real-time data updates.
The Model Context Protocol enables AI models to interact with external systems through tools, resources, and prompts.
A package manager to manage all your mcp servers across platforms
Index your documentation from across the sources and serve it via the Model Context Protocol (MCP) and REST API.
The is a professional-grade Python implementation of the . It provides a structured environment for Large Language Models (LLMs) to interact with external tools and knowledge bases through a...
A Python-Based MCP Server for Hopper Disassembler
Agent Skills
This repository provides technical guidance for users and developers using Amazon EC2 instances powered by AWS Graviton processors (including the latest generation Graviton5 processors).
A curated list of delightful NoCode / LowCode applications and resources. For more awesomeness, check out awesome.
ThingLinks is an enterprise-grade built on Spring Cloud microservices architecture. It delivers device connectivity, supporting on a single node with plugin-based extensibility and multi-protocol...
本项目围绕吴恩达老师在 DeepLearning.AI 推出的 Agentic AI 系列课程，致力于为中文学习者提供高质量的课程内容翻译、系统化的知识梳理、关键概念解析以及配套示例代码的详细解读。项目不仅帮助学习者跨越语言障碍，更通过结构化整理与实践引导，深入理解“智能体”（Agent）在现代 AI 系统中的核心作用，掌握构建自主、协作、推理型 AI 应用的关键方法。
橙皮书 (Orange Book) Series · by HuaShu (花叔)