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Jinni: Bring Your Project Into Context MCP Server

@smat-dev

代码仓库

基本信息

分类

其他

许可证

Apache-2.0

传输方式

stdio

作者

smat-dev

关于 Jinni: Bring Your Project Into Context MCP Server

Bring your project into LLM context - tool and MCP server

Jinni: Bring Your Project Into Context 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": {
    "jinni": {
      "command": "uvx",
      "args": [
        "jinni-server",
        "[OPTIONS]"
      ]
    }
  }
}

Jinni: Bring Your Project Into Context 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 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.

常见问题

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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