Docker AI Agent Skills

The Docker Hub MCP Server is a Model Context Protocol (MCP) server that interfaces with Docker Hub APIs to make them accessible to LLMs, enabling intelligent content discovery and repository management. Developers building with containers, especially in AI and LLM-powered workflows, often face inadequate context across the vast landscape of Docker Hub images. As a result, LLMs struggle to recommen

A Model Context Protocol (MCP) server that provides AI-powered PostgreSQL performance tuning capabilities. This server helps identify slow queries, recommend optimal indexes, analyze execution plans, and leverage HypoPG for hypothetical index testing. - Retrieve slow queries from pgstatstatements with detailed statistics - Analyze query execution plans with EXPLAIN and EXPLAIN ANALYZE - Identify p

A Model Context Protocol (MCP) server that lets AI assistants use Go’s LSP (gopls) for navigation, diagnostics, testing, coverage, and more. This MCP server helps AI assistants to: - Use LSP to analyze Go workspaces - Navigate to definitions, references, and workspace symbols - Format, rename, and inspect code actions without leaving MCP - Run Go tests, coverage, go mod tidy, govulncheck, and modu

Get Claude Code in your local project talking to Telegram in 3 minutes! TSGram MCP connects Claude Code sessions to Telegram using TS/Node/Docker/cli-utils, enabling AI-powered code assistance directly in your Telegram chats. Ask questions about your codebase, get AI insights, and even edit files - all from Telegram on your phone! - Local Docker container runs the Telegram webhook server - TSGram

English | 中文 Zero-dependency MCP memory server for AI agents — persistent, searchable, local-first, single binary. - No infra to babysit. Single Go binary. No Docker, no Node.js runtime, no cloud account, no API keys. brew install in 30 seconds. - Memory stays with the project. Stored in .aimemo/ next to your code — commit it to git or add it to .gitignore. Switch branches; memory follows the dire

Compose and post formatted content to a Telegram channel -- MarkdownV2 escaping, message splitting, media ordering

Update properties or content across many pages in a Notion database with dry-run and error recovery

Find emails needing follow-up -- unanswered sent emails, flagged unreplied, draft contextual responses

MCP Server that enables LLMs to interact with the local filesystem. Provides tools for navigation, search, file management, and analysis — all scoped to allowed directories. Filesystem MCP exposes a rich set of tools for reading, writing, searching, and inspecting files and directories. All operations are strictly bounded to the directories you provide at startup, preventing access to any path out

文颜（Wenyan） 是一款多平台 Markdown 排版与发布工具，支持将 Markdown 一键转换并发布至： - 以及其它内容平台（持续扩展中） 文颜的目标是：让写作者专注内容，而不是排版和平台适配。 文颜目前提供多种形态，覆盖不同使用场景： - macOS App Store 版 - MAC 桌面应用 - 跨平台桌面版 - Windows/Linux - CLI 版本 - 命令行 / CI 自动化发布 - 👉 MCP 版本 - 本项目 - 核心库 - 嵌入 Node / Web 项目 本仓库是 文颜的 MCP Server 版本，基于模型上下文协议（Model Context Protocol），旨在让 AI 助手（如 Claude Desktop）具备自动排版和发布公众号文章的能力。 - 与 AI 深度集成：让 AI 帮你管理公众号的排版和发布 - 支持 SSE 模式

An MCP server for managing Docker with natural language! - 🚀 Compose containers with natural language - 🔍 Introspect & debug running containers - 📀 Manage persistent data with Docker volumes - Server administrators: connect to remote Docker engines for e.g. managing a public-facing website. - Tinkerers: run containers locally and experiment with open-source apps supporting Docker. - AI enthusia

A high-performance, pure Rust Model Context Protocol (MCP) server that provides persistent, semantic, and graph-based memory for AI agents. Works perfectly with: Claude Desktop Claude Code (CLI) Cline / Roo Code Any other MCP-compliant client. Unlike other memory solutions that require a complex stack (Python + Vector DB + Graph DB), this project is a single, self-contained executable. ✅ No Extern

A Model Context Protocol (MCP) server implementation that integrates with Olostep for web scraping, content extraction, and search capabilities. To set up Olostep MCP Server, you need to have an API key. You can get the API key by signing up on the Olostep website. - Scrape website content in HTML, Markdown, JSON or Plain Text (with optional parsers) - Parser-based web search with structured resul

An MCP server implementation for retrieving information from Pinecone Assistant. - Retrieves information from Pinecone Assistant - Supports multiple results retrieval with a configurable number of results - Docker installed on your system - Pinecone API key - obtain from the Pinecone Console - Pinecone Assistant API host - after creating an Assistant (e.g. in Pinecone Console), you can find the ho

An MCP server implementation that integrates the SearXNG API, providing web search capabilities. - Web Search: General queries, news, articles, with pagination. - URL Content Reading: Advanced content extraction with pagination, section filtering, and heading extraction. - Intelligent Caching: URL content is cached with TTL (Time-To-Live) to improve performance and reduce redundant requests. - Pag

Let MCP clients like Claude and Cursor control Intruder. For more information and sample use cases, please see our blog post. There are two ways to use the MCP server: - Locally on your machine with Python - In a Docker container All of these methods require you to provide an Intruder API key. To generate a key, see the documentation. Install uv if it isn't already present, and then clone this rep

- Model Context Protocol (MCP) Server for Fast Healthcare Interoperability Resources (FHIR) APIs - Table of Contents - Demo with HAPI FHIR server - Demo with EPIC Sandbox - Core Features - Prerequisites - Installation - Installing using PyPI Package - Installing from Source - Installing using Docker - Running the MCP Server with Docker - Using Docker Compose with HAPI FHIR Server - Integration wit

Model Context Protocol (MCP) server for InfluxDB 3 integration. Provides tools, resources, and prompts for interacting with InfluxDB v3 (Core/Enterprise/Cloud Dedicated/Clustered/Cloud Serverless) via MCP clients. - InfluxDB 3 Instance: URL and token (Core/Enterprise/Cloud Serverless) or Cluster ID and tokens (Cloud Dedicated/Clustered) - Node.js: v18 or newer (for npm/npx usage) - npm: v9 or newe

rust-cargo-docs-rag-mcp is an MCP (Model Context Protocol) server that provides tools for Rust crate documentation lookup. It allows LLMs to look up documentation for Rust crates they are unfamiliar with. This README focuses on how to build, version, release, and install the project using two common paths: 1. pkgx (build/install locally from source) 2. Docker image (published to GitHub Container R

Product Hunt MCP Server connects Product Hunt's API to any LLM or agent that speaks the Model Context Protocol (MCP). Perfect for AI assistants, chatbots, or your own automations! - 🔍 Get posts, collections, topics, users - 🗳️ Get votes, comments, and more - 🛠️ Use with Claude Desktop, Cursor, or any MCP client - Get detailed info on posts, comments, collections, topics, users - Search/filter b

基于 MCP 协议的代码执行器，最后是通过 Docker 来进行代码执行的，所以本机上需要有 Docker 的环境. - [x] 支持 MCP 协议 - [x] 支持代码执行，获得代码执行的结果 - [ ] 获取代码执行的时间、内存等信息

An MCP server that provides tools for checking latest stable package versions from multiple package registries: - npm (Node.js/JavaScript) - PyPI (Python) - Maven Central (Java) - Go Proxy (Go) - Swift Packages (Swift) - AWS Bedrock (AI Models) - Docker Hub (Container Images) - GitHub Container Registry (Container Images) - GitHub Actions This server helps LLMs ensure they're recommending up-to-da

- 🚀 99% fewer API calls for batch operations (150-300 → 1) - ⚡ 88% token reduction with compact response formats - 🎯 Batch Dedupe Mode - Check 50-100 titles in one operation - 🔄 Smart Caching - 70-85% API call reduction - 🛡️ Safety Features - Multi-season confirmation, validation - 📦 4 Powerful Tools - Consolidated from 8 for clarity - 🤖 Automated Security Scanning - Dependabot for dependenc

Beelzebub is an advanced honeypot framework designed to provide a highly secure environment for detecting and analyzing cyber attacks. It offers a low code approach for easy implementation and uses AI to mimic the behavior of a high-interaction honeypot. - Global Threat Intelligence Community - Key Features - Architecture - Quick Start - Configuration - Core Configuration - Service Configuration -