"Using Laravel Helper Functions and Resolving MySQL Table Query Errors" matching MCP servers:

Provides Cursor-like code intelligence using tools like ripgrep, ctags, and tree-sitter to help LLMs explore and understand entire codebases. It implements a structured, phase-gated workflow to ensure high-confidence code modifications and eliminate hallucinations.

Enables AI assistants to incrementally build Laravel and Vue.js applications by creating file structures, methods, and code through natural conversation.

A guarded Model Context Protocol server that lets AI assistants inspect, edit, test, and validate explicitly approved local software projects, featuring 49 focused MCP tools for project discovery, safe editing, Git inspection, Laravel integration testing, and more.

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

Full-stack AI agent for Livewire v4.2+ / Laravel 13 / PHP 8.4+ with planning, memory, bug fixing, version control, GitHub integration, and design conversion.

Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.

Query GPT-5, Claude, Gemini, and Grok simultaneously through one MCP server for multi-model AI perspectives in your coding agents.

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 AI coding assistants like Cursor and Claude to engage in real-time two-way dialogue, allowing them to pause for clarification and request user confirmation before executing tasks. It features a modern UI for managing interaction prompts, predefined options, and project analysis to reduce errors and API costs.

Exposes models available on the gm inference gateway as callable tools, enabling coding agents to query models and list available ones via natural language.

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

Enables coding agents to query real SF Symbol names from the local SF Symbols app on Mac, helping generate valid SwiftUI/UIKit code without guessing.

Enables AI coding agents to efficiently query code context via a symbol graph, reducing token usage by up to 20x.

Let Claude, Cursor, or any MCP-compatible AI work inside your Godot project: read and edit scenes, write and validate scripts, run the game, drive it, and read the errors — without copy-pasting anything.

Easily create custom reusable automation tools from casual browser actions using Apify Agent. Automate workflows by running your recorded actions turned into MCP tools.

dev-brain-mcp

Turns application errors into reviewed pull requests by automating root-cause analysis, Jira ticket creation, local and CI test gates, and GitHub PRs, with a human as the final merge gate.

MCP server that manages interactive CLI agent pools using tmux, enabling creation, control, and communication with agents like Claude and Codex.

Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.