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2025-01-22

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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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    Reviews

    4 (1)
    Avatar
    user_STXFaqxF
    2025-04-16

    As a dedicated user of the mcp-server-agent, I can confidently say that this tool by Tyler-R-Kendrick is a game-changer. Its seamless integration and robust functionality make server management effortless. Highly recommend checking it out on GitHub via this link: https://github.com/Tyler-R-Kendrick/mcp-server-agent. Well-designed and powerful!