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

Panel Review is the guardian agent for AI's highest-stakes coding decisions. Before an agent's riskiest designs, diffs, or commits ship, four frontier models, from OpenAI, Anthropic, Google, and xAI, argue them through and return severity-tagged findings, with review gates the agent cannot silently skip.

An authenticated OpenAI-compatible inference gateway with an async job broker that bridges a coding agent to a ChatGPT MCP worker, enabling ChatGPT to process inference requests via a tunnel.

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 safe, local MCP server that lets Claude drive a controlled software-development loop (inspect, read, plan, patch, apply, check, analyze, fix, summarize) on a project, using deterministic tools and real diffs/test runs.

An MCP server for Trae AI that enables automated creation and management of OpenSpec-compliant projects through natural language descriptions. It features tools for generating specification files, optimizing existing code based on specs, and deploying project templates without command-line intervention.

A Model Context Protocol server that connects to a WISP game panel, letting AI clients inspect and manage game servers (state, files, console, backups, databases) with read-only defaults and opt-in capabilities.

A zero-cost MCP server that forces AI to self-correct code using prompt injection and context isolation.

A FastMCP integration with Hyperskill that allows AI agents to explain programming topics and search for programming resources using Hyperskill's learning materials.

A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.

Enables coding agents to create, deploy, invoke, and monitor serverless functions using 12 MCP tools, with support for multiple runtimes and remote MCP access.

Enables coding agents to access project data with tenant-scoped permissions, using the user's own credentials instead of a service account.

An interactive task loop MCP server for Cursor IDE that enables continuous web application development through a persistent terminal-based task processing system. It automates file management and project operations by processing user input in a continuous loop using integrated Cursor rules.

A zero-dependency MCP server that allows multiple coding agents to coordinate work on the same repository using file locks, task claims, and status messages.

Enables AI agents to create, compile, and run Scratch projects by editing plain text and using a live editor loop.

Classifies software implementation tasks using local Ollama models and recommends coding-agent models based on a deterministic policy.

A cost-optimized MCP server that orchestrates parallel specialist agents to review code changes, write tests, update docs, and suggest refactors, using a triage step to avoid unnecessary work.

Enables a local-first autonomous coding agent that plans, edits, and verifies code using LM Studio, Ollama, or llama.cpp models, with hardware-aware parallel sub-agents and optional frontier-model planning.

Transforms your IDE into an autonomous multi-agent coding assistant that orchestrates complex codebase refactoring using LangGraph and LiteLLM.

Enables AI agents to browse, create, and manage apps on the FreeAppStore platform, including provisioning repositories, writing code, and deploying live.

An MCP server that turns a one-sentence idea into working, tested code using a pipeline of six AI agents, with optional deployment.