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Jinni: Bring Your Project Into Context MCP Server

@smat-dev

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基本情報

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その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

smat-dev

Jinni: Bring Your Project Into Context MCP Server について

Bring your project into LLM context - tool and MCP server

Jinni: Bring Your Project Into Context MCP Server の設定

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": {
    "jinni": {
      "command": "uvx",
      "args": [
        "jinni-server",
        "[OPTIONS]"
      ]
    }
  }
}

Jinni: Bring Your Project Into Context MCP Server のツール

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。

概要

What is Jinni: Bring Your Project Into Context?

Jinni is a tool for developers to efficiently provide Large Language Models with a consolidated view of relevant project files. It integrates with AI tools via an MCP (Model Context Protocol) server and offers a command-line utility for manual copy-paste or file output.

How to use Jinni: Bring Your Project Into Context?

Configure your MCP client to run the server via uvx jinni-server, or use the CLI directly with jinni [OPTIONS] [<PATH...>]. The MCP server exposes the read_context tool; the CLI outputs concatenated file contents to stdout or clipboard.

Key features of Jinni: Bring Your Project Into Context

  • Efficient consolidation of relevant project files.
  • Intelligent filtering using gitignore-style patterns.
  • Customizable inclusions via .contextfiles.
  • Configurable size limit for large contexts.
  • File path headers in output.
  • List-only mode for file preview.

Use cases of Jinni: Bring Your Project Into Context

  • Integrating with AI coding assistants like Cursor or Claude Desktop.
  • Quickly providing project context to an LLM for code generation.
  • Focusing LLM attention on specific modules or file patterns.
  • Debugging large projects by excluding irrelevant directories.
  • Generating a structured text dump for offline LLM analysis.

よくある質問

1

What runtime does Jinni require?

Jinni requires `uv` to run the MCP server via `uvx jinni-server`. The CLI is also available as `jinni` and can be run directly.

2

How does Jinni decide which files to include?

It uses built-in defaults that exclude binaries, dotfiles, and common temp/build directories. It also respects `.gitignore` rules and allows custom inclusions via `.contextfiles`

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