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:
- Ensure that the
codeql-config.ymlfile is generated in the root directory of the docker container. - Build the docker container using the provided Dockerfile and docker-compose.yml files.
- Run the docker container.
- 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
user_STXFaqxF
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!