mcp_code_executor
mcp_code_executor is an MCP server. Its repository has 212 GitHub stars and is licensed under MIT; we last read it on 2026-10-22.
This software acts as an MCP server enabling language models to run Python code in a designated Conda environment.
Install
MCP servers are packaged differently from each other -- some run via npx, some as a Docker image, some as a plain script you clone and run. mcp_code_executor’s own README did not state one plainly enough for this page to quote it rather than guess, so it will not guess. The repository below states it.
What it reaches, and what it needs
Maintenance
The MCP Code Executor is an MCP server that allows LLMs to execute Python code within a specified Conda environment.
What mcp_code_executor can do
9 tools documented in its README. An AI client calls these by name.
execute_code- Executes Python code in the configured environment. Best for short code snippets.
install_dependencies- Installs Python packages in the environment.
check_installed_packages- Checks if packages are already installed in the environment.
configure_environment- Dynamically changes the environment configuration.
get_environment_config- No description in the README.
initialize_code_file- Creates a new Python file with initial content. Use this as the first step for longer code that may exceed token limits.
append_to_code_file- Appends content to an existing Python code file. Use this to add more code to a file created with initialize_code_file.
execute_code_file- Executes an existing Python file. Use this as the final step after building up code with initialize_code_file and append_to_code_file.
read_code_file- Reads the content of an existing Python code file. Use this to verify the current state of a file before appending more content or executing it.
Read from the README; names are kept only if the README contains them.
Common questions about mcp_code_executor
- What does mcp_code_executor do?
- This software acts as an MCP server enabling language models to run Python code in a designated Conda environment.
- How do I install mcp_code_executor?
- Its README did not state an install command plainly enough for us to quote one, so we do not guess. The repository has the instructions: https://github.com/bazinga012/mcp_code_executor
- Is mcp_code_executor official and is it maintained?
- We found nothing naming it as a vendor’s official server. Its repository has 212 GitHub stars and its state in our directory is stale. Its last commit we recorded was on 2025-05-24.
- What licence does mcp_code_executor use?
- The repository declares the MIT licence.