GitHub AI Agent Skills

Offline lookup for Transloadit Robots and their parameter docs/examples via the `transloadit` CLI. Use to draft or validate `steps` JSON without guessing robot names/params.

One-off image generation (prompt -> image file) using Transloadit via the `transloadit` CLI. Prefer builtin templates (`builtin/generate-image@latest`) and download outputs locally via `-o`.

English Version 基于 Google 的 Imagen 3.0 的图像生成工具，通过 MCP（Model Control Protocol）提供服务。 画一只奔跑的杰克罗素犬，长焦镜头，阳光透过狗狗的毛发，照片级画质 画一个科技感十足的苹果 - 有效的 Google Gemini API 密钥 1. 从 GitHub Releases 下载最新版本的可执行文件 2. 将下载的可执行文件放置在系统中的任意位置，例如 C:\bin\imagen3-mcp.exe 3. 在 Cherry Studio 中配置： - Command 字段填写可执行文件路径，例如 C:\bin\imagen3-mcp.exe - 环境变量 GEMINIAPIKEY 中填写你的 Gemini API 密钥 - [可选] 环境变量 BASEURL 中填写代理地址，例如 https://lingxi-pro

Also available in TypeScript Send requests to OpenAI, MistralAI, Anthropic, xAI, Google AI, DeepSeek, Alibaba, Inception using MCP protocol via tool or predefined prompts. Vendor API key required The server implements one tool: - unichat: Send a request to unichat - Takes "messages" as required string arguments - Returns a response - codereview - Review code for best practices, potential issues, a

Store team knowledge, project conventions, and learnings from tasks. Use to remember what works and recall context before new tasks. Connects to Hindsight Cloud. (user)

This model context protocol (MCP) server interfaces with the CyberChef Server API. Allowing you to use any LLM/MCP client of your choosing to utilise the tools and resources within CyberChef. 🧰 Available Tools and Resources - getcyberchefoperationscategories: resource - gets updated Cyber Chef categories for additional context / selection of the correct operations - getcyberchefoperationbycategor

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

MCP Server for IBGE (Brazilian Institute of Geography and Statistics) APIs. 🇧🇷 Leia em Português This server implements the Model Context Protocol (MCP) to provide access to IBGE's public APIs, enabling AI assistants to query geographic, demographic, and statistical data from Brazil. - 23 specialized tools covering all major IBGE data domains - 227 automated tests with 97%+ core coverage - Autom

A powerful MCP server for generating, editing, and converting SVG images using SVGMaker API. This very illustration came to life through our own SVGMaker MCP server—a living example of AI assistants and vector graphics working in perfect harmony via the Model Context Protocol. - 🎨 AI-Powered SVG Generation: Create SVGs from text descriptions - ✏️ Smart SVG Editing: Edit existing SVGs with natural

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

Own your AI. Agents, memory, tools, and identity that live on your Mac. Built purely in Swift. Fully offline. Open source. Download for Mac · Plugin Registry Models are getting cheaper and more interchangeable by the day. What's irreplaceable is the layer around them -- your context, your memory, your tools, your identity. Others keep that layer on their servers. Osaurus keeps it on your machine.

The implementation of Model Context Protocol (MCP) server for VictoriaLogs. This provides access to your VictoriaLogs instance and seamless integration with VictoriaLogs APIs and documentation. It can give you a comprehensive interface for logs, observability, and debugging tasks related to your VictoriaLogs instances, enable advanced automation and interaction capabilities for engineers and tools

MCP (Model Context Protocol) server for OpenGenes database This server implements the Model Context Protocol (MCP) for OpenGenes, providing a standardized interface for accessing aging and longevity research data. MCP enables AI assistants and agents to query comprehensive biomedical datasets through structured interfaces. The server automatically downloads the latest OpenGenes database and docume

Kash MCP Server is a server compliant with the MCP (Model Context Protocol), allowing ChatGPT, Claude, and other MCP-compatible clients to connect to a sales recorder system (or POS, cash register). It provides a simple interface to: - 📊 View sales and revenue - 🧾 Create and record receipts - 🛒 Manage products and stock - 🧠 Generate automated reports through conversational requests Connect you

Pepper gives AI agents eyes and hands inside iOS Simulator apps. It injects a shared library into any running simulator app — no source changes, no SDK, no build step. Your agent sees the screen as structured data, taps buttons, inspects live objects, intercepts network calls, reads the heap, and debugs layout issues. Dylib injection requires the simulator; device support uses a different mechanis

HarmonyOS MCP Server     This is a MCP server for manipulating harmonyOS Device. 1. Clone this repo 2. Setup the envirnment. You can use Claude Desktop to try our tool. You can also use openai-agents SDK to try the mcp server. Here's an example You can use LangGraph, a flexible LLM agent framework to design your workflows. Here's an example Write the system prompt in server.py Use l

Live handbook: https://girijashankarj.github.io/cursor-handbook/ The open-source rules engine for Cursor IDE — 117 components (rules, agents, skills, commands, hooks) that turn your AI into a senior engineer who follows your standards, knows your codebase, and never wastes a token. If cursor-handbook helps you, consider giving it a ⭐ — it helps others discover it. - Ways to use - The Problem -

Enable AI models to interact with a global network measurement platform through natural language. Give network access to any LLM. Globalping is a free, public API that provides access to a globally distributed network of probes for monitoring, debugging, and benchmarking internet infrastructure. With Globalping, you can run network tests (ping, traceroute, DNS, MTR, HTTP) from thousands of locatio

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

✨ Instantly understand and visualize your codebase structure & dependencies! ✨ A TypeScript-based tool for ranking files in your codebase by importance, tracking dependencies, and providing summaries to help understand code structure. This MCP server analyzes your codebase to identify the most important files based on dependency relationships. It generates importance scores (0-10) for each file, t

A structural codebase indexer with an MCP server for AI-assisted development. Zero runtime dependencies — uses Python's ast module for Python analysis and regex-based parsing for TypeScript/JS, Go, and Rust. Requires Python 3.11+. Indexes codebases by parsing source files into structural metadata -- functions, classes, imports, dependency graphs, and cross-file call chains -- then exposes 18 query

🚀 MCP Server Available: Install the Model Context Protocol server for AI Distiller from NPM: @janreges/ai-distiller-mcp - seamlessly integrate with Claude, Cursor, and other MCP-compatible AI tools! /.aid/ regardless of where you run aid - Cache management: MCP cache stored in .aid/cache/ for better organization - Easy cleanup: Add .aid/ to .gitignore to keep outputs out of version control Detect

A Model Context Protocol (MCP) server that provides access to GitHub's GraphQL API. This server exposes a single tool that allows executing arbitrary GraphQL queries and mutations against GitHub's API. - Execute any GraphQL query against GitHub's API - Comprehensive error handling and reporting - Detailed documentation with example queries - Support for variables in GraphQL operations - Python 3.1