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Agents Md Generator MCP Server

@nushey

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

nushey

提交者

Nahuel Zeballos

关于 Agents Md Generator MCP Server

MCP server to create and update agents.md efficiently

Agents Md Generator 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": {
    "io-github-nushey-agents-md-generator": {
      "args": [
        "agents-md-generator"
      ],
      "command": "uvx"
    }
  }
}

Agents Md Generator MCP Server 工具

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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 Agents Md Generator?

Agents Md Generator is an MCP server that analyzes codebases using tree-sitter AST parsing and produces AGENTS.md files — a README formatted for AI agents rather than human readers. It is compatible with any MCP-capable client, including Claude Code, Gemini CLI, Cursor, and Windsurf.

How to use Agents Md Generator?

Install with Python 3.11+, uv, and Git. Register the server in your MCP client’s config (e.g., claude mcp add agents-md uvx agents-md-generator). Then ask your AI client: “Generate the AGENTS.md for this project”. The client automatically calls the generate_agents_md tool. Optionally set project_path (defaults to current directory) and force_full_scan (skips cache). Large projects are handled via a chunked streaming tool.

Key features of Agents Md Generator

  • Tree-sitter based AST parsing across five languages
  • Incremental scanning with SHA-256 change detection
  • Chunked streaming of large analysis payloads over MCP
  • Cache and temporary files stored outside the project directory
  • Support for custom exclusion/inclusion patterns via .agents-config.json
  • Environment variable and entry point detection

Use cases of Agents Md Generator

  • Generate AGENTS.md for a new project from scratch
  • Automatically update AGENTS.md when the codebase changes
  • Share consistent project context across different AI coding assistants

常见问题

1

How does incremental scanning work?

On the first run all git-tracked source files are cached. Subsequent runs only re-parse files whose SHA-256 hash changed. For modified files, only changed public symbols are included. If nothing changed, the tool asks whether to improve the existing `AGENTS.md` anyway.

2

What languages are supported?

Python, C#, TypeScript, JavaScript, and Go.

3

Does it modify my project files?

No. All cache and temporary payload files are written to `~/.cache/agents-md-generator/<project-hash>`. The only file written to your repository is `AGENTS.md`, and that is created by your AI client (not by the server directly).

4

Can I customize what gets analyzed?

Yes. Create an optional `.agents-config.json` in the project root. You can set `exclude` and `include` globs, restrict languages, change the output path, and adjust the `impact_threshold` (high/medium/low) that controls which changes trigger regeneration.

5

Is it compatible with any MCP client?

Yes. It uses stdio transport, so any client that supports the `mcpServers` configuration can use it. Examples include Claude Code, Gemini CLI, Cursor, and Windsurf.

评论

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