mcp_code_executor

# MCP Code Executor [](https://smithery.ai/server/@bazinga012/mcp_code_executor) The MCP Code Executor is an MCP server that allows LLMs to execute Python code within a specified Conda environment. This enables LLMs to run code with access to libraries and dependencies defined in the Conda environment. <a href="https://glama.ai/mcp/servers/45ix8xode3"><img width="380" height="200" src="https://glama.ai/mcp/servers/45ix8xode3/badge" alt="Code Executor MCP server" /></a> ## Features - Execute Python code from LLM prompts - Run code within a specified Conda environment - Configurable code storage directory ## Prerequisites - Node.js installed - Conda installed - Desired Conda environment created ## Setup 1. Clone this repository: ```bash git clone https://github.com/bazinga012/mcp_code_executor.git ``` 2. Navigate to the project directory: ```bash cd mcp_code_executor ``` 3. Install the Node.js dependencies: ```bash npm install ``` 4. Build the project: ```bash npm run build ``` ## Configuration To configure the MCP Code Executor server, add the following to your MCP servers configuration file: ```json { "mcpServers": { "mcp-code-executor": { "command": "node", "args": [ "/path/to/mcp_code_executor/build/index.js" ], "env": { "CODE_STORAGE_DIR": "/path/to/code/storage", "CONDA_ENV_NAME": "your-conda-env" } } } } ``` Replace the placeholders: - `/path/to/mcp_code_executor` with the absolute path to where you cloned this repository - `/path/to/code/storage` with the directory where you want the generated code to be stored - `your-conda-env` with the name of the Conda environment you want the code to run in ## Usage Once configured, the MCP Code Executor will allow LLMs to execute Python code by generating a file in the specified `CODE_STORAGE_DIR` and running it within the Conda environment defined by `CONDA_ENV_NAME`. LLMs can generate and execute code by referencing this MCP server in their prompts. ## Contributing Contributions are welcome! Please open an issue or submit a pull request. ## License This project is licensed under the MIT License.