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Imagin.studio Api Docs

@IMAGIN-studio

リポジトリ

Imagin.studio Api Docs について

概要はまだありません

#mcp#documentation#rag#search#imagin#model-context-protocol

基本情報

カテゴリ

メモリとナレッジ

ライセンス

Apache-2.0

ランタイム

python

トランスポート

stdio

公開者

IMAGIN-studio

投稿者

IMAGINstudio

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "imagin-docs": {
      "command": "uvx",
      "args": [
        "imagin-studio-api-docs-mcp"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Imagin.studio Api Docs?

The Imagin.studio Api Docs MCP server gives AI coding assistants instant access to the full IMAGIN.studio documentation — including CDN configuration, API references, and integration guides. It is designed for developers using any major AI coding assistant that supports the Model Context Protocol.

How to use Imagin.studio Api Docs?

Install the server via uvx imagin-studio-api-docs-mcp (preferred) or npx -y @imagin.studio/api-docs-mcp. Add the provided JSON to your agent’s MCP configuration file. On first run, the server clones the upstream documentation and builds a local vector index (approximately 30 seconds). Your AI assistant can then call the search_docs tool to find relevant documentation.

Key features of Imagin.studio Api Docs

  • Single command installation, no cloning or manual setup required
  • Works with every major AI coding assistant
  • Runs entirely locally – no API keys or external services needed
  • Index automatically updates when upstream documentation changes
  • Packages available on both PyPI and npm

Use cases of Imagin.studio Api Docs

  • Search IMAGIN.studio docs for CDN cache invalidation details
  • Look up how to set up a custom domain with IMAGIN
  • Find the API endpoint for image transformations
  • Check which image formats IMAGIN.studio supports
  • Retrieve integration guides without leaving the coding environment

FAQ from Imagin.studio Api Docs

What are the runtime requirements?

The server requires either uvx (part of the uv toolchain) or npx (Node.js package runner). No other dependencies or virtual environments are needed.

Does the server require an API key or external service?

No. Everything runs locally and no API keys or external services are used.

Where does the documentation data come from?

On first run, the server clones the public IMAGIN.studio documentation from docs.imagin.studio and builds a local vector index.

Does the documentation index stay up to date?

Yes, the index automatically updates whenever the upstream documentation changes.

Which AI coding assistants are supported?

The server supports Claude Code, Claude Desktop, Cursor, Windsurf, VS Code + Copilot, Cline, and Zed.

コメント

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