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

Enables evaluation of AI-generated code across 45 specialized dimensions using deterministic pattern matching and optional LLM-powered deep review, acting as an independent quality gate.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Provides a secure, authenticated MCP bridge to control a local Godot editor from Cursor, enabling scene/node management, script validation, editor diagnostics, and runtime inspection through a whitelisted set of tools.

A lean, local knowledge graph that joins a repo's code to its aSPARK delivery artifacts, enabling agents to trace user stories to code and assess impact of changes, served over MCP.

Enterprise-grade MCP server for SAP ABAP development, enabling AI-powered coding assistance through Amazon Q Developer and Kiro with 15 SAP development tools.

Zero-dependency MCP server inspector for protocol conformance, tool annotations, and capability checks.

locidx

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

Exposes VS Code diagnostic problems like errors and warnings in real-time to AI agents via the Model Context Protocol. It enables AI tools to see compilation and linting issues directly from the problems panel to provide context-aware debugging and automated fixes.

Enables AI agents to interact with an Oracle CPQ BML workspace, allowing operations like pulling, validating, debugging, and deploying BML functions locally without exposing credentials.

Enables secure interaction with Salesforce orgs through LLMs, providing tools for managing orgs, querying data, deploying metadata, running tests, and performing code analysis with granular access control and encrypted authentication.

Enables a side-panel companion that watches your coding session and provides context-aware answers about your codebase and session state through a small, token-cheap MCP interface.

Bridges AI coding assistants with website codebases, local git repositories, and shared hosting via FTP/SFTP, enabling code discovery, file management, git operations, smart deployments, backups, and rollbacks.

Exposes the VS Code/Cursor Problems panel to AI assistants via MCP, enabling live diagnostics querying with filters, context, summaries, and code actions.

Exposes a tool to convert JSON samples into equivalent C# class definitions using NiceOneCode's converter. AI assistants can call directly without pasting JSON into a web form.

Enables AI to perform peer review of its own code changes by displaying annotated diffs with inline comments in a VS Code/Cursor panel. The AI can analyze its modifications and provide explanations directly alongside the changed code, similar to human code review workflows.

A modular MCP server for code analysis using ast-grep, enabling structural pattern matching and transformations across multiple languages.

A Python MCP server for indexing projects using embeddings, providing semantic search to help AI agents navigate codebases.

Enables AI agents to edit files in VS Code with an interactive diff review panel, allowing users to accept or reject changes.

A Model Context Protocol server that enables IDEs like Cursor and Windsurf to analyze large codebases using Gemini's extensive context window.