Agents Md Generator MCP Server

@nushey

リポジトリ

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

作者

nushey

投稿者

Nahuel Zeballos

Agents Md Generator MCP Server について

MCP server to create and update agents.md efficiently

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

Agents Md Generator 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 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

よくある質問

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.

What languages are supported?

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

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).

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.

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.

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