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.
@IMAGIN-studio
基本情報
概要はまだありません
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"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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.
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.
The server requires either `uvx` (part of the uv toolchain) or `npx` (Node.js package runner). No other dependencies or virtual environments are needed.
No. Everything runs locally and no API keys or external services are used.
On first run, the server clones the public IMAGIN.studio documentation from `docs.imagin.studio` and builds a local vector index.
Yes, the index automatically updates whenever the upstream documentation changes.
The server supports Claude Code, Claude Desktop, Cursor, Windsurf, VS Code + Copilot, Cline, and Zed.

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.
Person-owned, portable AI memory served over MCP. Your knowledge, preferences, and decisions — captured in one assistant, available in all of them.

MCP connector for Snipara, the Project Brain for AI coding agents

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

Serve your docs to AI agents over SSH and MCP. Agents use ls, cat, grep, find, and pipes against a virtual filesystem backed by your documentation. Identity-scoped access, governed writing with human approval, and portab
コメント