Imagin.studio Api Docs MCP Server

@IMAGIN-studio

代码仓库

基本信息

分类

记忆与知识

许可证

Apache-2.0

传输方式

stdio

作者

IMAGIN-studio

提交者

IMAGINstudio

关于 Imagin.studio Api Docs MCP Server

暂无概览

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

Imagin.studio Api Docs MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Imagin.studio Api Docs MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

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.

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