GitHub AI Agent Skills

Generates customer-ready roadmap views and launch timelines from ProductPlan for Sales and Customer Success teams. Use when preparing for customer calls, sharing product direction, or answering "when will feature X ship?" questions.

Safe updates for GitHub SpecKit installations, preserving your customizations. This Claude Code skill provides a safe, automated way to update SpecKit templates, commands, and scripts while preserving user customizations, eliminating the need for destructive specify init --force updates. - Smart Merge with Frictionless Onboarding (New in v0.6.0): Automatic version detection and intelligent 3-way m

A headless, zero-UI data transformation service that converts between 67+ format pairs including aviation weather formats. Discovered by AI agents via MCP, Google A2A, and OpenAPI. Paid via x402 (USDC stablecoin) — first 100 requests free. Live endpoint: https://transform-agent-lingering-surf-8155.fly.dev Purpose-built for aviation AI agents and flight planning workflows. Parses raw aviation weath

A high-performance Model Context Protocol (MCP) server for Trino implemented in Go. This project enables AI assistants to seamlessly interact with Trino's distributed SQL query engine through standardized MCP tools. This project implements a Model Context Protocol (MCP) server for Trino in Go. It enables AI assistants to access Trino's distributed SQL query engine through standardized MCP tools. T

A MCP server implementation for LongPort OpenAPI, provides real-time stock market data, provides AI access analysis and trading capabilities through MCP. - LongPort OpenAPI: https://open.longportapp.com/en/ - SDK docs: https://longportapp.github.io/openapi - Trading - Create, amend, cancel orders, query today’s/past orders and transaction details, etc. - Quotes - Real-time quotes, acquisition of h

MCP Server for the Giphy API, enabling AI models to search, retrieve, and utilize GIFs from Giphy. - Content Filtering: Filter results by rating (G, PG, PG-13, R) to ensure appropriate content - Optimized Response Format: Response data optimized for AI model consumption - Multiple Search Methods: Support for query-based, random, and trending GIF retrieval - Comprehensive Metadata: Each GIF comes w

cognee‑mcp - Run cognee’s memory engine as a Model Context Protocol server Join Discord Join r/AIMemory Build memory for Agents and query from any client that speaks MCP – in your terminal or IDE. - Multiple transports – choose Streamable HTTP --transport http (recommended for web deployments), SSE --transport sse (real‑time streaming), or stdio (classic pipe, default) - API Mode – connect to an a

A professional Model Context Protocol (MCP) server for serial port communication. Provides AI assistants with comprehensive serial communication capabilities for embedded systems, IoT devices, and hardware debugging with real hardware integration. - 🚀 Production Ready: Real hardware integration with 5 comprehensive serial communication tools - 🔌 Cross-Platform Support: Windows, Linux, macOS with

⚡ Fully automated MCP server built on top of apktool to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, parse manifests, and reverse engineer effortlessly. Image generated using AI tools. apktool-mcp-server is a MCP server for the Apk Tool that integrates directly with Model Context Protocol (MCP) to provide live reverse engineering support with LLMs like Claude. Think: "Dec

Windows 11 system management

MongoDB Lens is a local Model Context Protocol (MCP) server with full featured access to MongoDB databases using natural language via LLMs to perform queries, run aggregations, optimize performance, and more. - Quick Start - Installation - Configuration - Client Setup - Data Protection - Test Suite - Disclaimer - Install MongoDB Lens - Configure MongoDB Lens - Set up your MCP Client (e.g. Claude D

Text-to-speech and speech-to-text using fal.ai audio models

mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows. - "base-url":"http://localhost/v1" The base URL of the Dify platform api server url. - "command":"mcp-difyworkflow-server" You can specify the absolute path for the compiled binary, or create a symbolic link wit

Generate Apache ECharts with AI MCP dynamically for chart generation and data analysis. Also you can use mcp-server-chart to generate chart, graph, map. - Fully support all features and syntax of ECharts, include data, style, theme and so on. - Support exporting to png, svg, and option formats, with validation for ECharts to facilitate the model's multi-round output of correct syntax and graphics.

1. 入门示例: tablestore-java-mcp-server 2. 基于 MCP 架构实现知识库答疑系统: tablestore-java-mcp-server-rag - 实现一个目前最常见的一类 AI 应用即答疑系统，支持基于私有知识库的问答，会对知识库构建和 RAG 做一些优化。 1. 入门示例: tablestore-python-mcp-server 1. Mem0-OpenMemory-MCP: tablestore-python-mem0-mcp-server 欢迎加入我们的钉钉公开群，与我们一起探讨 AI 技术。钉钉群号：36165029092

Main entry-point skill for Transloadit. Route to the right `integrate-*`, `transform-*`, or `docs-*` skill, and prefer executing via `npx -y @transloadit/node ...` (CLI) for deterministic behavior.

A Model Context Protocol (MCP) server that automates optimization and analysis using Optuna. The Optuna MCP Server can be used in the following use cases, for example. - Automated hyperparameter optimization by LLMs - Interactive analysis of Optuna's optimization results via chat interface - Optimize input and output of other MCP tools For details, see the Examples section. The Optuna MCP server c

- Requirements - Entity Operations - Telemetry Management - Relations - OTA Packages - Entity Data Query - Quick Start Guide - Installation - Docker Image - Build from Sources - Client Configuration - Binary Configuration - Docker Configuration - Environment Variables - Tool Groups Configuration - Available Tools - Device Tools - Asset Tools - Customer Tools - User Tools - Alarm Tools - OTA Tools

knowledge-to-action-mcp is an MCP server for people whose real project context lives in notes, decisions, roadmaps, and meeting docs, not just code. Most Obsidian MCP servers stop at "read a note" or "search a vault." This one goes further: That means an MCP client can move from: If you work out of Obsidian, your important context is usually spread across: - roadmap notes - meeting notes - decisio

A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file

Spring Boot starter that automatically exposes SpringDoc OpenAPI operations as MCP tools. - Auto-discovery of OpenAPI operations from your running Spring app - Auto-registration of MCP tools for discovered API operations - Smart-context tools: metadiscoverapitools, metainvokeapibyintent - Response optimization with projection/summarization controls - Risk controls for dangerous operations (confirm

English Version 一个用于与语雀 API 集成的 Model-Context-Protocol (MCP) 服务器。此实现受 Figma-Context-MCP 的启发，并使用 语雀开放 API。 该服务器提供了与语雀知识库平台交互的 MCP 工具，允许 AI 模型： - 获取用户和文档信息 - 创建、读取、更新和删除文档 - 获取统计数据和分析信息 要使用 Smithery 将 Yuque MCP Server 自动安装到 Claude 桌面端： - Node.js 18+ (推荐) - 拥有 API 令牌的语雀账号 3. 基于 .env.example 创建 .env 文件： 4. (可选) 在 .env 文件中添加你的语雀 API 令牌： 你也可以选择在连接到服务器时通过查询参数提供令牌，而不是在 .env 文件中设置。 然后在 HTTP 或 CLI 模式下运行： 本项

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

ACP to MCP Adapter Connect ACP Agents to MCP Applications Seamlessly The ACP to MCP Adapter is a lightweight standalone server that acts as a bridge between two AI ecosystems: Agent Communication Protocol (ACP) for agent-to-agent communication and Model Context Protocol (MCP) for connecting AI models to external tools. It allows MCP applications (like Claude Desktop) to discover and interact with