{"type":"mcp_server","name":"mcp_code_executor","description":"The MCP Code Executor is an MCP server that enables LLMs to execute Python code within a specified Conda environment, allowing them to leverage libraries and dependencies for enhanced functionality.","category":"AI","language":"JavaScript","stars":213,"forks":8,"owner":"bazinga012","github_url":"https://github.com/bazinga012/mcp_code_executor","homepage":null,"setup":"## Setup\n\n1. Clone this repository:\n\n```bash\ngit clone https://github.com/bazinga012/mcp_code_executor.git\n```\n\n2. Navigate to the project directory:\n\n```bash \ncd mcp_code_executor\n```\n\n3. Install the Node.js dependencies:\n\n```bash\nnpm install\n```\n\n4. Build the project:\n\n```bash\nnpm run build\n```","tools":"## Available Tools\n\n1. Execute Python code from LLM prompts (Allows LLMs to run Python code).\n2. Run code within a specified Conda environment (Enables code execution with defined dependencies).\n3. Configurable code storage directory (Allows specifying where generated code is stored).","faq":null,"created_at":"2025-02-06T15:58:32+00:00","updated_at":"2025-03-28T15:23:34+00:00","source_url":"https://model-context-protocol.com/servers/mcp-server-execute-python-code-environment","related_articles":[]}