Py Poetry MCP Server

@Tyler-R-Kendrick

Repository

Basic information

About Py Poetry MCP Server

No overview available yet

#mcp-server-agent#python#codeql

Py Poetry MCP Server config

Add this server to your MCP-compatible client using the configuration below.

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

Py Poetry MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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.

Comments

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