py-poetry

Name: py-poetry
Author: Tyler-R-Kendrick

@Tyler-R-Kendrick

リポジトリ

py-poetry について

概要はまだありません

#mcp-server-agent #python #codeql

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT

ランタイム

トランスポート

stdio

公開者

Tyler-R-Kendrick

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": {
    "mcp-server-agent": {
      "command": "python",
      "args": [
        "src/agent.py",
        "<path_to_local_git_repo>"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is py-poetry?

A template that has Python configured for VS Code with Poetry, and includes an agent script and CodeQL integration via Docker.

How to use py-poetry?

Run the agent using python src/agent.py <path_to_local_git_repo>. For CodeQL analysis, build the Docker container, then use CodeQL CLI commands against the container's file system.

Key features of py-poetry

Python project configured for VS Code with Poetry.
Includes an agent script for local git repositories.
Supports CodeQL analysis via generated Docker container.
Provides Dockerfile and docker-compose.yml files.

Use cases of py-poetry

Setting up a Python development environment with Poetry and VS Code.
Running CodeQL security queries on Python code inside a Docker container.
Automating local git repository analysis with the agent script.

FAQ from py-poetry

What is py-poetry?

A template that configures Python for VS Code using Poetry, and includes an agent and CodeQL support.

How do I run the agent?

Use the command python src/agent.py <path_to_local_git_repo>, replacing the placeholder with your repository path.

How do I use CodeQL with py-poetry?

Build the Docker container, then run CodeQL database creation and analysis commands (e.g., codeql database create and codeql database analyze) against the container's workspace.

What files are provided?

The template includes a Dockerfile, docker-compose.yml, and a codeql-config.yml file (generated in the container root).

Does py-poetry have any dependencies?

It requires Python, Poetry, VS Code, Docker, and CodeQL CLI to use all features.

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