Mcp AI Agent Skills

SmartBear MCP server A Model Context Protocol (MCP) server which provides AI assistants with seamless access to SmartBear's suite of testing and monitoring tools, including BearQ, BugSnag, Reflect, Swagger, PactFlow, Pact Broker, QMetry, QTM4J, Zephyr and Collaborator. The Model Context Protocol (MCP) is an open standard that enables AI assistants to securely connect to external data sources and t

A lightweight, zero-config MCP server for documentation projects. Give it an llms-full.txt file (local path or URL) and optional OpenAPI/AsyncAPI directories. It also hellps you to build one if you do not have it. It registers only the MCP tools that make sense for what you've provided — no code changes, no hard-coded paths. - Why it's different - When to use this — and when not to - How it works

kubectl-mcp-server Control your entire Kubernetes infrastructure through natural language conversations with AI. Talk to your clusters like you talk to a DevOps expert. Debug crashed pods, optimize costs, deploy applications, audit security, manage Helm charts, and visualize dashboards—all through natural language. - What Can You Do? - Why kubectl-mcp-server? - Live Demos - Installation - Quick St

🚀 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

MCP Access Point is a lightweight protocol conversion gateway tool designed to establish a communication bridge between traditional HTTP services and MCP (Model Context Protocol) clients. It enables MCP clients to interact directly with existing HTTP services without requiring any server-side interface modifications. This project is built on Pingora - an ultra-high performance gateway proxy librar

mcp-name: io.github.king-of-the-grackles/reddit-research-mcp AI-Powered Reddit Intelligence for Market Research & Competitive Analysis Version: 1.0.0 Turn Reddit's chaos into actionable insights. Dialog is your all-in-one Reddit intelligence platform for competitive analysis, market research, and customer discovery across 20,000+ active subreddits. This is the official MCP server powering Dialog -

AI-powered virtual staging MCP server for real estate professionals. Stage empty rooms with photorealistic furniture, beautify floor plans into 3D renders, classify room images, generate German property descriptions, and get staging style recommendations — all through the Model Context Protocol. Built for Immobilienmakler, PropTech platforms, and real estate photographers in the DACH market. Conne

Deep Research for crypto - free & fully local 🧠 - Comprehensive Research: Gather detailed information about any cryptocurrency token - Multi-Source Analysis: Research across multiple sources including CoinGecko, CoinMarketCap, DeFiLlama, and more - Structured Reporting: Generate detailed reports covering technical fundamentals, market data, social sentiment, and more - Resource Management: Automa

Typst MCP Server is an MCP (Model Context Protocol) implementation that helps AI models interact with Typst, a markup-based typesetting system. The server provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code. The server provides the following tools: 1. listdocschapters(): Lists all chapters in the Typst documentation. - Lets the LLM

UpTier is a desktop to-do application that combines a clean Microsoft To Do-style interface with the power of Claude AI for intelligent task prioritization. Through the Model Context Protocol (MCP), Claude can analyze your tasks and help you focus on what matters most. Download UpTier for Windows Pre-built installer available. No build required. - Lists & Tasks - Create custom lists, tasks with su

A Model Context Protocol (MCP) server that provides comprehensive access to MLB statistics and baseball data through a FastMCP-based interface. This MCP server acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more into AI workflows and applications. - Current standings for all MLB teams with flex

search golang packages and their docs from pkg.go.dev, provide the infomation to llm as mcp server You can download the compiled binary from the releases page. Or you can install it from source, compile it by yourself: just use your client to request. it servers on stdio - localCache - [x] use a local cache to avoid search every time(From reddit user) - searchPackage - [x] imported by how many pac

MCP (Model Context Protocol) server plugin for 1C:EDT, enabling AI assistants (Claude, GitHub Copilot, Cursor, etc.) to interact with EDT workspace. - MCP Protocol 2025-11-25 - Streamable HTTP transport with SSE support - Project Information - List workspace projects and configuration properties - Error Reporting - Get errors, warnings, problem summaries with filters - Check Descriptio

Security scanner for AI coding agents, MCP servers, prompts, and AI-suggested packages. Run it before Claude Code, Cursor, Windsurf, Cline, OpenCode, or another agent trusts new code, tools, prompts, or dependencies. Scan any repo and get an A-F agent security grade: Install the scanner into your AI coding client: Replace claude-code with cursor, claude-desktop, windsurf, cline, kilo-code, opencod

A comprehensive Model Context Protocol (MCP) server that provides Claude Desktop and other MCP clients with tools for Kafka Schema Registry operations. Features advanced schema context support, multi-registry management, and comprehensive schema export capabilities. Latest Version: v2.1.5 | Docker: aywengo/kafka-schema-reg-mcp:stable - 🚀 Quick Start - ✨ Key Features - 🛠️ Claude Code Skills - 📦

MCP server for xAI's Grok API with agentic tool calling, image and video generation, vision, and file support. - Agentic Tool Calling: Web search, X search, and code execution with multi-step reasoning - Multiple Grok Models: Access to Grok-4.1-Fast-Reasoning, Grok-4.1-Fast-Non-Reasoning, Grok-4-Fast, and more - Image and Video Generation: Create images and videos using Grok Imagine - Vision Capab

English | 中文 k8m 是一款AI驱动的 Mini Kubernetes AI Dashboard 轻量级控制台工具，专为简化集群管理设计。它基于 AMIS 构建，并通过 kom 作为 Kubernetes API 客户端，k8m 内置了 Qwen2.5-Coder-7B，支持deepseek-ai/DeepSeek-R1-Distill-Qwen-7B模型 模型交互能力，同时支持接入您自己的私有化大模型（包括ollama）。 DEMO-InCluster模式 用户名密码 demo/demo - 详细的配置和使用说明请参考文档。 - 更新日志请参考更新日志。 - 开发设计文档-中文 - 开发设计文档-English - 迷你化设计：所有功能整合在一个单一的可执行文件中，部署便捷，使用简单。 - 简便易用：友好的用户界面和直观的操作流程，让 Kubernetes 管理更加轻松。支持

A comprehensive Go-based MCP (Model Context Protocol) server for mathematical computations, implementing 13 mathematical tools with advanced features and high precision calculations. Owner & Maintainer: Avinash Sangle (avinash.sangle123@gmail.com) 1. Basic Math Operations - Precision arithmetic with configurable decimal places - Addition, subtraction, multiplication, division - Multiple operand su

Give Claude Code a browser that thinks. An MCP server that connects Claude Code to Perplexity Comet - enabling agentic web browsing, deep research, and real-time task monitoring. Existing web tools for Claude Code fall into two categories, both with limitations: Return static text. No interaction, no login, no dynamic content. Great for quick lookups, but can't navigate complex sites or fill forms

An AI coding assistant built in Rust that provides both command-line and graphical interfaces for autonomous code analysis and modification. Multi-Modal Tool Execution: Adapts to different LLM capabilities with pluggable tool invocation modes - native function calling, XML-style tags, and triple-caret blocks - ensuring compatibility across various AI providers. Real-Time Streaming Interface: Advan

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

These MCP servers are a part of the Neo4j Labs program. They are developed and maintained by the Neo4j Field GenAI team and welcome contributions from the larger developer community. These servers are frequently updated with new and experimental features, but are not supported by the Neo4j product team. They are actively developed and maintained, but we don’t provide any SLAs or guarantees around

- A minimal server/client application implementation utilizing the Model Context Protocol (MCP) and Azure OpenAI. 1. The MCP server is built with FastMCP. 2. Playwright is an an open source, end to end testing framework by Microsoft for testing your modern web applications. 3. The MCP response about tools will be converted to the OpenAI function calling format. 4. The bridge that converts the MCP

This project implements a Model Context Protocol (MCP) server for interacting with the ZenML API. The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It acts like a "USB-C port for AI applications" - providing a standardized way to connect AI models to different data sources and tools. MCP follows a client-server