"Deploying a Website Using BaoTa (BT) Panel" matching MCP servers:

Provides a remote coding environment for AI to publish static websites as live URLs, with live code editing and sandbox execution.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

A lightweight TypeScript-based MCP server that demonstrates how to build custom MCP tools by implementing a simple addition calculator. Serves as a starting point for building MCP-compatible tools.

A self-hosted MCP server that enables AI coding agents to read, edit, search, and run code in local projects with human review loops and policy controls.

Provides a secure workspace for AI-driven file management and Python script execution designed to run on Vercel. It enables tools for full file operations and code execution within a sandboxed environment.

Provides AI coding agents a full abap2UI5 development loop—writing ABAP classes, validating views, deploying, and running apps headless with screenshots—all locally without an SAP system.

A lightweight framework for building and running Model Context Protocol (MCP) servers using FastMCP, providing tools for development, debugging, and server management.

Enables controlling OriginLab Origin through MCP to read and write worksheets, build and style multi-panel graphs, and export figures, reporting what Origin actually did rather than what it was asked to do. Works from macOS or Linux against Origin running in a Windows VM.

Backend service implementing the Model Control Panel protocol that connects to Apache Doris databases, allowing users to execute SQL queries, manage metadata, and potentially leverage LLMs for tasks like natural language to SQL conversion.

Enables building and shipping real apps directly from Claude or ChatGPT by scaffolding projects, editing code, running live previews with public share URLs, storing data, sending email and push notifications, deploying to hosting, and exporting finished repos.

A Model Context Protocol server implementation that enables secure remote command execution via SSH, with features for managing and using SSH credentials.

A Model Context Protocol server that enables Docker container management through natural language interactions using a custom GPT interface.

Enables running Postman collections using Newman for conducting API tests and obtaining detailed result analysis via a standardized interface.

An experimental server implementing Model Context Protocol to automate website deployments to 1Panel servers, allowing users to create websites and upload static files through natural language commands.

A comprehensive system for managing AI-assisted agile development workflows with a modern, resource-based API using FastMCP.

A boilerplate project for quickly developing Model Context Protocol (MCP) servers using TypeScript SDK. Includes example tools for calculations and greetings, plus system information resources.

A simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.

A template for creating and connecting custom tools to Cursor IDE using Model Context Protocol with support for cheerful server responses.

Enables AI agents to build, playtest, and publish Scratch projects headlessly over MCP, with 112 tools covering the website/social graph, block-level project editing, headless VM execution, and Python-to-blocks workflows.