gk-cli

AllMCPs is the definitive public registry and ecosystem hub for Model Context Protocol (MCP) servers. It provides developers, AI engineers, and teams with instant access to hundreds of verified MCP servers for file management, database connectors, browser automation, search integrations, and API workflows. Features include deep semantic search, developer documentation, badge verification, automated config generation for Claude Desktop and Cursor, token cost calculators, and llms.txt standards for agentic frameworks.

Manage, explore, transform and join data in Kafka topics across multiple clusters using different flavours of Apache Kafka via Lenses.io (including the free Community Edition)

Web-to-MCP lets you capture any real UI component from a live website and pull its exact details into your AI coding assistant. Click the Chrome extension, select an element, and you’ll get a reference ID. Paste that ID in Cursor or Claude, and your MCP server returns the component’s HTML, CSS, typography, colors, spacing, and layout context. What this really means is you stop guessing from screenshots and start from the source of truth. How it works Open the extension and pick any element on a page. Receive a reference ID for that capture. In your IDE chat, call the MCP tool with the ID to fetch the spec and code. What you get Exact DOM structure plus consolidated CSS. Computed styles for sizing, spacing, fonts, and colors. Small preview image for quick visual check. Clean output you can use in React, Vue, Angular, or plain HTML/CSS. Why it’s useful Designers grab examples fast. Developers get accurate code. The handoff shrinks from trial-and-error to minutes, so teams ship UI that matches what they saw on the web.

A MLOps framework for machine learning pipelines that run anywhere - AWS Sagemaker, GCP Vertex AI, Kubeflow Pipelines with MLflow and more!

A flexible HTTP fetching Model Context Protocol server. - zcaceres/fetch-mcp

A Model Context Protocol (MCP) server for Swagger/OpenAPI documentation that transforms OpenAPI specifications into MCP format, enabling AI assistants to interact with REST APIs through standardized protocol. - zaizaizhao/mcp-swagger-server