Mcp AI Agent Skills

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB. - Gets the list of team from one of the following leagues NBA (National Basketball Association), MLB (Major League Baseball), NFL (National Football League) - league (enum ['NBA', 'NFL', 'MLB']): The sports league to get teams for - getplayers - Gets the

A Model Context Protocol server that enables LLMs to interact with GraphQL APIs. This implementation provides schema introspection and query execution capabilities, allowing models to discover and use GraphQL APIs dynamically. Run mcp-graphql with the correct endpoint, it will automatically try to introspect your queries. - graphql-schema: The server exposes the GraphQL schema as a resource that c

OpenZIM MCP Server Transform static ZIM archives into dynamic knowledge engines for AI models OpenZIM MCP transforms static ZIM archives into dynamic knowledge engines for Large Language Models. Unlike basic file readers, this tool provides intelligent, structured access that LLMs need to effectively navigate and understand vast knowledge repositories. Why LLMs Love OpenZIM MCP: - Smart Navigation

An MCP server implementation that provides a tool for problem-solving using the Lotus Sutra's wisdom framework, combining analytical thinking with intuitive wisdom. Multi-faceted problem-solving approach inspired by the Lotus Sutra Step-by-step thought process with different thinking techniques Meditation pauses to allow insights to emerge naturally Beautifully formatted thought process visualizat

AI‑powered YouTube uploader—no CLI, no YouTube Studio, and no secrets ever shared with LLMs or third‑party apps and all free of cost! It includes OAuth2 authentication, token management, and video upload functionality. - Upload videos to YouTube from MCP Client(Claude/Cursor/VS Code) - OAuth2 authentication flow - Access token and refresh token management - Multi Channel Support - Schedule video u

An MCP (Model Context Protocol) server providing comprehensive email capabilities via IMAP and SMTP. Enables AI assistants to read, search, send, manage, schedule, and analyze emails across multiple accounts. Exposes 47 tools, 7 prompts, and 6 resources over the MCP protocol with OAuth2 support (experimental), email scheduling, calendar extraction, analytics, provider-aware label management, real-

The GitHub MCP Server connects AI tools directly to GitHub's platform. This gives AI agents, assistants, and chatbots the ability to read repositories and code files, manage issues and PRs, analyze code, and automate workflows. All through natural language interactions. - Repository Management: Browse and query code, search files, analyze commits, and understand project structure across any reposi

English | 中文 kom 是一个用于 Kubernetes 操作的工具，相当于SDK级的kubectl、client-go的使用封装。 它提供了一系列功能来管理 Kubernetes 资源，包括创建、更新、删除和获取资源。这个项目支持多种 Kubernetes 资源类型的操作，并能够处理自定义资源定义（CRD）。 通过使用 kom，你可以轻松地进行资源的增删改查和日志获取以及操作POD内文件等动作，甚至可以使用SQL语句来查询、管理k8s资源。 1. 简单易用：kom 提供了丰富的功能，包括创建、更新、删除、获取、列表等，包括对内置资源以及CRD资源的操作。 2. 多集群支持：通过RegisterCluster，你可以轻松地管理多个 Kubernetes 集群，支持AWS EKS集群。 3. MCP支持：支持多集群的MCP管理,同时支持stdio、sse两种模式，内置58种工具，支

A comprehensive Model Context Protocol (MCP) server for the Starknet blockchain. This server provides AI agents with the ability to interact with Starknet networks, query blockchain data, manage wallets, and interact with smart contracts. - Supported Networks - Prerequisites - Installation - Server Configuration - API Reference - Resources - Usage with AI Assistants - Security Considerations - Pro

mcp-name: io.github.aikts/yandex-tracker-mcp A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance. Documentation in Russian is available here / Документац

A Model Context Protocol server that lets your AI talk to Stockfish. Because apparently we needed to make chess engines even more accessible to our silicon overlords. This creates a bridge between AI systems and the Stockfish chess engine via the MCP protocol. It handles multiple concurrent sessions because your AI probably wants to analyze seventeen positions simultaneously while you're still fig

A Model Context Protocol (MCP) server for shipment tracking api, package monitoring, and logistics management using the TrackMage API. Supports tracking across 1600+ carriers worldwide. - Carrier Support: Track packages across 1600+ carriers worldwide (full list) - Resources: Workspaces, shipments, orders, carriers, tracking statuses - Tools: Create shipments/orders, get shipment checkpoints, carr

Please migrate to our new KnowledgeBase MCP Server, which provides enhanced capabilities and improved accuracy. Model Context Protocol (MCP) is a standardized protocol designed to manage context between large language models (LLMs) and external systems. The Chargebee MCP Server offers a robust set of tools to improve developer efficiency. It integrates with AI-powered code editors like Cursor, Win

Sentry's MCP service is primarily designed for human-in-the-loop coding agents. Our tool selection and priorities are focused on developer workflows and debugging use cases, rather than providing a general-purpose MCP server for all Sentry functionality. This remote MCP server acts as middleware to the upstream Sentry API, optimized for coding assistants like Cursor, Claude Code, and similar devel

Using nicegui as a PlantUML frontend, you can deploy PlantUML on an intranet. It's a nicegui demo project with an added MCP (Model Context Protocol) server that exposes PlantUML functionality to AI assistants. Plantuml jar version: plantuml-1.2025.3.jar - Interactive PlantUML editor with live preview - Save and load diagrams - Responsive UI with resizable panels - Generate PlantUML diagrams in SVG

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

Piston MCP Server piston-mcp is an MCP server that allows LLMs to connect to and execute code using Piston . You can try out piston-mcp locally without cloning it. To try out piston-mcp you'll need to install uv: You will also need to download an MCP client to connect to piston-mcp, such as Claude Desktop. Update the MCP client's configuration with the following configuration to connect to piston-

CloudBase MCP 🪐 AI 编程，一键上线 连接 AI IDE 与腾讯云 CloudBase 的部署桥梁，让你的 AI 应用即刻上线 English · 简体中文 · [文档][docs] · [更新日志][changelog] · [反馈问题][github-issues-link] [![][npm-version-shield]][npm-link] [![][npm-downloads-shield]][npm-link] [![][github-stars-shield]][github-stars-link] [![][github-forks-shield]][github-forks-link] [![][github-issues-shield]][github-issues-link] ![][github-license-shield] ![][githu

A local Model Context Protocol (MCP) server that provides structured, high-signal insight into a Git repository, enabling AI coding agents to understand project state, structure, activity, and risk — without uploading or modifying the codebase. AI coding agents (Claude Code, Cursor, Codex, Gemini, etc.) are powerful, but they lack situational awareness when working with non-trivial codebases. They

Alibaba Cloud Ops MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Alibaba Cloud APIs, enabling AI assistants to operate resources on Alibaba Cloud, supporting ECS, Cloud Monitor, OOS, OSS, VPC, RDS and other widely used cloud products. It also enables AI assistants to analyze, build, and deploy applications to Alibaba Cloud ECS instances. Smithery AI FC-

🚀 Try ApeRAG Live Demo - Experience the full platform capabilities with our hosted demo ApeRAG is a production-ready RAG (Retrieval-Augmented Generation) platform that combines Graph RAG, vector search, and full-text search with advanced AI agents. Build sophisticated AI applications with hybrid retrieval, multimodal document processing, intelligent agents, and enterprise-grade management feature

This VS Code extension provides a Model Context Protocol (MCP) server that exposes VSCode's powerful development tools and language features to AI tools. It enables advanced code navigation, analysis, and manipulation capabilities when using AI coding assistants that support the MCP protocol. - Installation/Usage - Multi-Project Support - Available Tools - Available Commands - Troubleshooting - Co

This repository is no longer maintained. The core functionality has been integrated into all IntelliJ-based IDEs since version 2025.2. The built-in functionality works with SSE and JVM-based proxy (for STDIO) so this NPM package is no longer required. Migration: Please refer to the official documentation for details on using the built-in functionality. Issues & Support: For bugs or feature request

Simple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test. For the best results, add the following to your custom prompt: This will ensure Cline uses this MCP server to request user feedback before marking the task as completed. Hitting Save Configuration crea