bazinga012/mcp_code_executor
mcp_code_executor is hosted online, so all tools can be tested directly either in theInspector tabor in theOnline Client.
If you are the rightful owner of mcp_code_executor and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The MCP Code Executor is a server that enables LLMs to execute Python code within a specified environment, supporting incremental code generation and dependency management.
Try mcp_code_executor with chat:
Tools
Functions exposed to the LLM to take actions
execute_code
Execute Python code in the conda environment. For short code snippets only. For longer code, use initialize_code_file and append_to_code_file instead.
initialize_code_file
Create a new Python file with initial content. Use this as the first step for longer code that may exceed token limits. Follow with append_to_code_file for additional code.
append_to_code_file
Append content to an existing Python code file. Use this to add more code to a file created with initialize_code_file, allowing you to build up larger code bases in parts.
execute_code_file
Execute 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
Read 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.
install_dependencies
Install Python dependencies in the conda environment
check_installed_packages
Check if packages are installed in the conda environment
configure_environment
Change the environment configuration settings
get_environment_config
Get the current environment configuration
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client
