"Laravel 12 PHP Framework" matching MCP servers:

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.

Analyzes GitHub contributions and maps them to the Karpathy Skills framework, providing metrics, alignment scores, and executive summaries.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

Unified MCP server exposing 12 DevOps tools across GitHub, PostgreSQL, Slack, and Google Calendar for AI agents, with rate limiting, input validation, and per-service scoped tokens.

Centralized MCP server that provides standardized development workflow commands to Cursor AI, auto-detecting project type (Laravel, Next.js, Flutter, Architecture) and offering relevant commands for implementation, testing, and commits.

Enables LLMs to access and execute custom automation scripts from a dotfiles repository, including tools for JIRA, GitHub, Jenkins, and code review.

FluxGit gives Codex, Claude Code, OpenCode and compatible MCP clients shared Git context through 38 tools: 25 read tools, 12 operation-preview tools and cancellation. Previews submit proposals; approval and execution require a connected FluxGit desktop gateway and a person's decision. Available workflows depend on the client and configuration.

Enables AI agents to inspect, create, and edit 1C metadata and managed forms in a configurator XML dump without manual XML editing, using metadata_check for dry-run validation and metadata_apply for writes. It enforces platform dump rules, preserves formatting, and supports operations such as object creation, property changes, renaming, role generation, and form amendments.

Enables LLM hosts to perform scoped GitHub operations over stdio, including repository intelligence, pull request lifecycle and diff inspection, and commit history queries. It exposes 12 FastMCP tools backed by PyGithub for repository, PR, and commit workflows.

MCP server offering tools to add numbers and fetch GitHub repos, a resource for apartment rules, and a prompt to explain SQL queries.

Enables remote MCP connections to GitHub, allowing users to list repositories, inspect repository details, manage issues, and read file contents via natural language or MCP clients.

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A local git MCP server. It exposes 12 git operations to an MCP client over stdio, allowing the client to inspect and work with a git repository on your machine, including status, diffs, log, branches, staging, and commits.

A production-grade MCP server that provides LLMs with safe, structured, tool-based access to GitHub repositories, including issue management, semantic search, and guarded write operations.

A GitHub-based implementation of the Model Context Protocol that enables LLMs to access and manipulate data in a Universal Object Reference (UOR) framework, providing standardized interfaces for object management with decentralized storage.

Enables AI assistants to perform safe, structured read/write operations on Perforce P4 version control, including changelists, files, shelves, workspaces, jobs, reviews, and P4 DAM assets through the MCP framework.

Enables uploading PR screenshots to Cloudflare R2 via presigned URLs, allowing Claude to attach images to PR descriptions without binary data passing through MCP.

RCP-1 is an enterprise-ready MCP server that connects AI assistants to SAP ABAP systems via the ADT REST API, with built-in security, access controls, and deployment options for BTP or on-premise.

Provides read-only access to Bitbucket Server repositories, pull requests, branches, and more.

An MCP server that allows Claude and other MCP-compatible LLMs to interact with the GitHub API, supporting features like creating issues, getting repository information, listing issues, and searching repositories.

A monorepo containing three Model Context Protocol (MCP) servers that enable natural language interaction with databases, GitHub repositories, and time/timezone services.

The Git MCP Server allows AI assistants to perform enhanced Git operations via the Model Context Protocol, supporting core Git functions, branch and tag management, GitHub integration, and more.

Provides AI coding agents with structured Git repository context including project state, code structure, activity, and risk analysis without modifying or uploading code.

Enables Codex to plan and get approval, execute tasks with DSH in isolated Git worktrees, independently review results, and optionally deliver draft PRs/MRs.

Connects AI assistants to GitLab, enabling natural language queries for merge requests, code reviews, pipeline tests, job logs, and commit discussions directly from chat.

A lightweight MCP server that analyzes Git repository history and provides insights through AI-compatible tools. It supports hotspot detection, contributor analysis, and code churn tracking.