MCP Server Agent

🚀 VSCode Template for Python

A pre - configured VSCode template for Python development, integrated with the Poetry dependency management tool.

🚀 Quick Start

💻 Running the Agent Program

To run the agent program, use the following command:

python src/agent.py <local_git_repository_path>

Replace <local_git_repository_path> with the actual path of your local Git repository.

💻 Analyzing the Generated Docker Container with CodeQL

To perform code analysis using CodeQL in 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. Start the Docker container.
4. Run queries on the Python files in the container using the CodeQL CLI.

For example, to run a CodeQL query, use the following commands:

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 name of the CodeQL database you wish to use.