py-poetry
Description
# py-poetry A template that has python configured for vs code with poetry. ## Running the Agent To run the agent, use the following command: ```sh python src/agent.py <path_to_local_git_repo> ``` Replace `<path_to_local_git_repo>` with the path to your local git repository. ##…
About
# py-poetry A template that has python configured for vs code with poetry. ## Running the Agent To run the agent, use the following command: ```sh python src/agent.py <path_to_local_git_repo> ``` Replace `<path_to_local_git_repo>` with the path to your local git repository. ## Using CodeQL with the Generated Docker…
Details
- Author
- Tyler-R-Kendrick
- Downloads
- 233
- Categories
- AI
Jump to
- 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.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
py-poetryCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"py-poetry": {
"mcp-server-agent": {
"command": "python",
"args": [
"src/agent.py",
"<path_to_local_git_repo>"
]
}
}
}
}McpServers
{
"mcp-server-agent": {
"command": "python",
"args": [
"src/agent.py",
"<path_to_local_git_repo>"
]
}
}py-poetry
A template that has python configured for vs code with poetry.Running the Agent
To run the agent, use the following command:
python src/agent.py <path_to_local_git_repo>
Replace <path_to_local_git_repo> with the path to your local git repository.
Using CodeQL with the Generated Docker Container
To use CodeQL queries with the generated docker container, follow these steps:
1. Ensure that the codeql-config.yml file is generated in the root directory of the docker container.
2. Build the docker container using the provided Dockerfile and docker-compose.yml files.
3. Run the docker container.
4. Use CodeQL CLI to run queries against the python files in the container.
For example, to run a CodeQL query, use the following command:
codeql database create my-database --language=python --source-root=/workspace
codeql database analyze my-database python-security-extended.qls --format=sarif-latest --output=results.sarif
Replace my-database with the desired name for your CodeQL database.
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