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bazinga012

MCP Code Executor

configure_environment

Set up Python execution environments by configuring conda or virtualenv settings to manage dependencies for code execution.

Instructions

Change the environment configuration settings

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeYesType of Python environment
conda_nameNoName of the conda environment (required if type is 'conda')
venv_pathNoPath to the virtualenv (required if type is 'venv')
uv_venv_pathNoPath to the UV virtualenv (required if type is 'venv-uv')

Implementation Reference

  • Main handler implementation for the 'configure_environment' tool. Validates input arguments, checks environment type, uses helper to validate config, updates global ENV_CONFIG, and returns JSON response with previous and current config.
    case "configure_environment": { // Safely access and validate arguments const rawArgs = request.params.arguments || {}; // Check if type exists and is one of the allowed values if (!rawArgs || typeof rawArgs !== 'object' || !('type' in rawArgs) || !['conda', 'venv', 'venv-uv'].includes(String(rawArgs.type))) { return { content: [{ type: "text", text: JSON.stringify({ status: 'error', error: "Invalid arguments: 'type' is required and must be one of 'conda', 'venv', or 'venv-uv'" }), isError: true }] }; } // Now we can safely create a properly typed object const args: ConfigureEnvironmentArgs = { type: String(rawArgs.type) as 'conda' | 'venv' | 'venv-uv', conda_name: 'conda_name' in rawArgs ? String(rawArgs.conda_name) : undefined, venv_path: 'venv_path' in rawArgs ? String(rawArgs.venv_path) : undefined, uv_venv_path: 'uv_venv_path' in rawArgs ? String(rawArgs.uv_venv_path) : undefined, }; // Validate configuration const validationError = validateEnvironmentConfig(args); if (validationError) { return { content: [{ type: "text", text: JSON.stringify({ status: 'error', error: validationError }), isError: true }] }; } // Update configuration const previousConfig = { ...ENV_CONFIG }; ENV_CONFIG = { ...ENV_CONFIG, type: args.type, ...(args.conda_name && { conda_name: args.conda_name }), ...(args.venv_path && { venv_path: args.venv_path }), ...(args.uv_venv_path && { uv_venv_path: args.uv_venv_path }) }; return { content: [{ type: "text", text: JSON.stringify({ status: 'success', message: 'Environment configuration updated', previous: previousConfig, current: ENV_CONFIG }), isError: false }] }; }
  • TypeScript interface defining the expected input schema for the configure_environment tool arguments.
    interface ConfigureEnvironmentArgs { type: 'conda' | 'venv' | 'venv-uv'; conda_name?: string; venv_path?: string; uv_venv_path?: string; }
  • src/index.ts:652-677 (registration)
    Tool registration in the ListTools response, defining name, description, and input schema matching the handler args.
    name: "configure_environment", description: "Change the environment configuration settings", inputSchema: { type: "object", properties: { type: { type: "string", enum: ["conda", "venv", "venv-uv"], description: "Type of Python environment" }, conda_name: { type: "string", description: "Name of the conda environment (required if type is 'conda')" }, venv_path: { type: "string", description: "Path to the virtualenv (required if type is 'venv')" }, uv_venv_path: { type: "string", description: "Path to the UV virtualenv (required if type is 'venv-uv')" } }, required: ["type"] } },
  • Helper function to validate the environment configuration arguments based on the selected type.
    function validateEnvironmentConfig(config: ConfigureEnvironmentArgs): string | null { if (config.type === 'conda' && !config.conda_name) { return "conda_name is required when type is 'conda'"; } else if (config.type === 'venv' && !config.venv_path) { return "venv_path is required when type is 'venv'"; } else if (config.type === 'venv-uv' && !config.uv_venv_path) { return "uv_venv_path is required when type is 'venv-uv'"; } return null; }

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