eat(models): Add MCP support for models command and improve configuration docs

This commit implements several related improvements to the models command and configuration system:

- Added MCP support for the models command:
  - Created new direct function implementation in models.js
  - Registered modelsDirect in task-master-core.js for proper export
  - Added models tool registration in tools/index.js
  - Ensured project name replacement when copying .taskmasterconfig in init.js

- Improved .taskmasterconfig copying during project initialization:
  - Added copyTemplateFile() call in createProjectStructure()
  - Ensured project name is properly replaced in the config

- Restructured tool registration in logical workflow groups:
  - Organized registration into 6 functional categories
  - Improved command ordering to follow typical workflow
  - Added clear group comments for maintainability

- Enhanced documentation in cursor rules:
  - Updated dev_workflow.mdc with clearer config management instructions
  - Added comprehensive models command reference to taskmaster.mdc
  - Clarified CLI vs MCP usage patterns and options
  - Added warning against manual .taskmasterconfig editing

mcp-server/src/tools/models.js

@@ -0,0 +1,81 @@
+/**
+ * models.js
+ * MCP tool for managing AI model configurations
+ */
+
+import { z } from 'zod';
+import {
+	getProjectRootFromSession,
+	handleApiResult,
+	createErrorResponse
+} from './utils.js';
+import { modelsDirect } from '../core/task-master-core.js';
+
+/**
+ * Register the models tool with the MCP server
+ * @param {Object} server - FastMCP server instance
+ */
+export function registerModelsTool(server) {
+	server.addTool({
+		name: 'models',
+		description:
+			'Get information about available AI models or set model configurations. Run without arguments to get the current model configuration and API key status for the selected model providers.',
+		parameters: z.object({
+			setMain: z
+				.string()
+				.optional()
+				.describe(
+					'Set the primary model for task generation/updates. Model provider API key is required in the MCP config ENV.'
+				),
+			setResearch: z
+				.string()
+				.optional()
+				.describe(
+					'Set the model for research-backed operations. Model provider API key is required in the MCP config ENV.'
+				),
+			setFallback: z
+				.string()
+				.optional()
+				.describe(
+					'Set the model to use if the primary fails. Model provider API key is required in the MCP config ENV.'
+				),
+			listAvailableModels: z
+				.boolean()
+				.optional()
+				.describe('List all available models not currently in use.'),
+			projectRoot: z
+				.string()
+				.optional()
+				.describe('The directory of the project. Must be an absolute path.')
+		}),
+		execute: async (args, { log, session }) => {
+			try {
+				log.info(`Starting models tool with args: ${JSON.stringify(args)}`);
+
+				// Get project root from args or session
+				const rootFolder =
+					args.projectRoot || getProjectRootFromSession(session, log);
+
+				// Ensure project root was determined
+				if (!rootFolder) {
+					return createErrorResponse(
+						'Could not determine project root. Please provide it explicitly or ensure your session contains valid root information.'
+					);
+				}
+
+				// Call the direct function
+				const result = await modelsDirect(
+					{ ...args, projectRoot: rootFolder },
+					log,
+					{ session }
+				);
+
+				// Handle and return the result
+				return handleApiResult(result, log);
+			} catch (error) {
+				log.error(`Error in models tool: ${error.message}`);
+				return createErrorResponse(error.message);
+			}
+		}
+	});
+}