mcp__gemini__create_project_tasks
Automate project task creation by converting requirements into actionable tasks tailored to project type and complexity. Streamline planning and execution with this AI-powered tool.
Instructions
Create project tasks from requirements
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| complexity | No | Complexity level | medium |
| project_type | No | Project type | general |
| requirements | Yes | Project requirements |
Implementation Reference
- src/tools/registry.js:108-146 (registration)Complete registration of the 'mcp__gemini__create_project_tasks' tool, including input schema, description, and the full inline handler function that generates tasks using AI and persists to storage.
this.registerTool( 'mcp__gemini__create_project_tasks', 'Create project tasks from requirements', { requirements: { type: 'string', description: 'Project requirements', required: true }, project_type: { type: 'string', description: 'Project type', default: 'general' }, complexity: { type: 'string', description: 'Complexity level', default: 'medium' } }, async (args) => { const { requirements, project_type = 'general', complexity = 'medium' } = args; validateString(requirements, 'requirements'); const prompt = `Break down these project requirements into specific, actionable tasks: ${requirements} Project Type: ${project_type} Complexity: ${complexity} Create a structured task list with: 1. Clear task descriptions 2. Priority levels (high/medium/low) 3. Estimated effort 4. Dependencies between tasks 5. Implementation order`; const taskBreakdown = await aiClient.call(prompt, 'main', { complexity }); // Save to storage const taskData = await storage.read('tasks'); const timestamp = new Date().toISOString(); taskData.last_requirements = requirements; taskData.last_breakdown = taskBreakdown; taskData.updated = timestamp; await storage.write('tasks', taskData); return `📋 **Project Tasks Created**\\n\\n${taskBreakdown}`; } ); - src/tools/registry.js:116-145 (handler)The core handler function for 'mcp__gemini__create_project_tasks' that destructures args, validates input, constructs an AI prompt, calls aiClient to generate task breakdown, persists data to storage, and returns formatted response.
async (args) => { const { requirements, project_type = 'general', complexity = 'medium' } = args; validateString(requirements, 'requirements'); const prompt = `Break down these project requirements into specific, actionable tasks: ${requirements} Project Type: ${project_type} Complexity: ${complexity} Create a structured task list with: 1. Clear task descriptions 2. Priority levels (high/medium/low) 3. Estimated effort 4. Dependencies between tasks 5. Implementation order`; const taskBreakdown = await aiClient.call(prompt, 'main', { complexity }); // Save to storage const taskData = await storage.read('tasks'); const timestamp = new Date().toISOString(); taskData.last_requirements = requirements; taskData.last_breakdown = taskBreakdown; taskData.updated = timestamp; await storage.write('tasks', taskData); return `📋 **Project Tasks Created**\\n\\n${taskBreakdown}`; } - src/tools/registry.js:111-115 (schema)Input schema parameters for the tool defining requirements (required string), project_type, and complexity.
{ requirements: { type: 'string', description: 'Project requirements', required: true }, project_type: { type: 'string', description: 'Project type', default: 'general' }, complexity: { type: 'string', description: 'Complexity level', default: 'medium' } },