@aot-tech/clockify-mcp-server/build/tools/tasks.js

MCP Server for Clockify time tracking integration with AI tools

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.findTasksTool = void 0;
const zod_1 = require("zod");
const tasks_1 = require("../clockify-sdk/tasks");
const api_1 = require("../config/api");
exports.findTasksTool = {
    name: api_1.TOOLS_CONFIG.tasks.find.name,
    description: api_1.TOOLS_CONFIG.tasks.find.description,
    parameters: {
        workspaceId: zod_1.z
            .string()
            .describe('The id of the workspace where the task is located'),
        projectId: zod_1.z
            .string()
            .describe('The id of the project where the task is located'),
        taskName: zod_1.z
            .string()
            .optional()
            .describe('The name of the task to search for'),
    },
    handler: async (params) => {
        const result = await tasks_1.tasksService.find(params.workspaceId, params.projectId, params.taskName || '');
        if (result.length === 0) {
            return {
                content: [
                    {
                        type: 'text',
                        text: `No tasks found with the name "${params.taskName}" in project "${params.projectId}" of workspace "${params.workspaceId}"`,
                    },
                ],
            };
        }
        const formattedResults = result.map((task) => ({
            id: task.id,
            name: task.name,
            projectId: task.projectId,
        }));
        return {
            content: [
                {
                    type: 'text',
                    text: `Clockify Tasks for workspace and project and name: ${JSON.stringify(formattedResults, null, 2)}`,
                },
            ],
        };
    },
};