#
ENJA

mcp

MCP Server

lovablelabs/mcp

The official Model Context Protocol server for Lovable, allowing AI clients to build, edit, and manage web applications through natural language.

3 2Apache-2.0Updated 2026-07-13
View on GitHubOpen source file

Overview

This MCP integration connects AI assistants like Claude, Cursor, and Codex directly to the Lovable full-stack application builder. It provides a comprehensive set of tools for managing workspaces, interacting with application code, executing database queries, handling deployments, and communicating with Lovable's internal AI agents.

Capabilities

  • ▸Project lifecycle management (create, deploy, remix, inspect)
  • ▸AI agent communication for iterative code generation
  • ▸Code inspection and file manipulation via diffs and file trees
  • ▸Cloud database provisioning and SQL execution
  • ▸Connector and external MCP integration management
  • ▸Project analytics and traffic monitoring

Best for

Creating and deploying new full-stack applications via natural language prompts, Inspecting code diffs, file trees, and edit histories of Lovable projects, Interacting with project databases using direct SQL queries, Managing integrations, workspaces, and deployment pipelines from external AI clients

Works with

Claude CodeCodexChatGPTCursor
Evoa Score breakdown= Σ (score × weight)
73
Task usefulness20%100 → +20.0

実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析

Code quality15%90 → +13.5

実装・指示の品質。 — AIによるSKILL.md/README解析

Maintenance15%85 → +12.8

リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ

Documentation12%30 → +3.6

ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量

Security15%50 → +7.5

危険・不審な挙動が無いか。 — AIによるセキュリティレビュー

Originality10%85 → +8.5

ありふれたラッパーではない独自性。 — AIによる独自性判定

Popularity8%23 → +1.8

コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）

Compatibility5%100 → +5.0

対応AIエージェントの広さ。 — AIによる対応エージェント判定

Weighted total72.7 / 100

ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →

Security considerations

Uses OAuth 2.1 authentication with automatic token discovery. Certain tools allow executing raw SQL queries and deploying live URLs, which require careful authorization handling.

Categories

CodingAI EngineeringDevOpsDatabaseAutomation

Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.