laravel/boost

Laravel-focused MCP server for augmenting your AI powered local development experience.

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Summary Information

Updated 35 minutes ago
Added to GitGenius on September 19th, 2026
Created on July 15th, 2025
Open Issues & Pull Requests: 15 (+0)
GitHub issues: Enabled
Number of forks: 377
Total Stargazers: 3,624 (+0)
Total Subscribers: 31 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.0 hours
Mean response time: 7.2 days
90th percentile: 14.0 days
Tracked items: 379

Most active contributors

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How this project is maintained

Practically every issue opened in the past year has drawn a reply. Work labelled "phpstorm" is answered fastest, typically in about 4 hours, while "bug" waits about 2 days. 96% of issues opened in the past year have since been closed. Three people close 89% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 11
New in 7 days: 1
Closed in 7 days: 2
Avg open age: 128 days
Stale 30+ days: 7
Stale 90+ days: 3

Recent activity

Opened in 7 days: 1
Closed in 7 days: 2
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • help wanted (15)
  • bug (14)
  • needs more info (14)
  • guidelines (13)
  • phpstorm (11)
  • enhancement (10)
  • windows (8)
  • docker (6)

Detailed Description

Laravel Boost is an MCP server that augments AI-powered local development for Laravel projects.

The tool addresses the challenge of getting AI assistants to generate high-quality, framework-specific code by providing essential context and structure tailored to Laravel. It works as a Model Context Protocol server that integrates with AI development tools, supplying them with Laravel-specific information and patterns needed to produce relevant suggestions and code generation.

Developers working on Laravel projects who use AI-assisted development tools should consider Boost if they want their AI assistant to understand Laravel conventions and generate code that fits the framework's patterns. The tool is designed specifically for the Laravel ecosystem, making it most valuable for teams already committed to that framework and using AI coding assistants in their local development workflow.

The project maintains active test coverage and follows standard contribution practices documented in the Laravel framework's contribution guide. Security vulnerabilities are handled through a dedicated security policy.