# Job Search Weekly Planner AI Agent Connect > Job Search Weekly Planner MCP maps your job targets and deadlines against your actual availability. It builds a structured weekly execution plan so you stop guessing how much time you have for applications and networking. Your AI client uses your time constraints to ensure every task fits into a logical, achievable schedule. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_BrkJalSnBi3JUzsi0WYqDIcFoG4iuKcbMrQq5AgR/ai-agent-connect - **Tags:** job-search, planning, productivity, scheduling, career-management ## Description Managing a job search is a full-time job in itself. You have deadlines to hit, networking calls to make, and applications to submit, but your actual free time is often unpredictable. This MCP solves that by acting as a scheduling engine for your career transition. Instead of staring at a long list of tasks, you give your AI client your availability and your target list. It then calculates a plan that respects your real-world time limits. You can choose to prioritize tasks by their due dates or spread them out evenly across the week. If you try to overbook yourself, the MCP checks the math to make sure the plan is actually doable. It keeps your job search organized without you having to manually manage a calendar every single day. ## Tools ### generate_weekly_schedule This tool builds a structured plan by assigning your tasks to specific available time slots. It uses your chosen strategy to decide how to distribute the work. ### get_user_availability This tool checks how many hours you actually have available for job search activities this week. It provides the total count and a breakdown of your time. ### list_job_targets This tool pulls up all your active job targets. It includes the specific tasks and deadlines tied to each one. ### validate_plan_feasibility This tool verifies if your proposed schedule is actually possible. It checks if the total task duration fits within your available hours. ## Prompt Examples **Prompt:** ``` Generate a weekly plan for next Monday using the deadline_first strategy. ``` **Response:** ``` Your schedule for the week starting 2024-05-20 is ready. I have prioritized your application for Google due on Wednesday and your networking task for Monday. ``` **Prompt:** ``` How many hours do I have available for job searching this week? ``` **Response:** ``` You have 25 hours available this week, with a daily breakdown of 5 hours from Monday to Friday. ``` **Prompt:** ``` Is my current schedule feasible given my 15 available hours? ``` **Response:** ``` No, the plan is not feasible because the total duration of scheduled tasks (18 hours) exceeds your available 15 hours. ``` ## Capabilities ### Automated Scheduling Your agent assigns tasks to time slots based on your specific availability. ### Deadline Prioritization The AI uses the deadline_first strategy to tackle urgent applications before they expire. ### Capacity Checking The MCP runs logic checks to ensure you don't schedule more work than you have time for. ### Task Tracking Your agent retrieves all active job targets and their associated deadlines. ### Time Management The tool calculates your total weekly hours to prevent burnout and overcommitment. ## Use Cases ### Deadline Management When you have multiple applications due in one week, the MCP prioritizes them so you don't miss a window. ### Time-Constrained Searching If you only have 10 hours a week to search, the MCP builds a plan that fits exactly into those 10 hours. ### Workload Balancing Use the even_spread strategy to avoid having a massive workload on Monday and nothing on Friday. ### Feasibility Audits Check if a new job target can actually be added to your current week without breaking your schedule. ## Benefits - Prevents overcommitment by checking task duration against available hours. - Reduces decision fatigue by generating structured plans automatically. - Ensures deadlines are met by using priority-based scheduling strategies. - Provides a clear view of weekly capacity to help manage energy levels. ## How It Works Connect the MCP to your AI client and let it handle the math of your weekly schedule. 1. Connect the MCP to Claude, Cursor, or Windsurf via Vinkius. 2. Provide your job targets and deadlines to your AI client. 3. Tell the agent how many hours you have available this week. 4. Ask the agent to generate a schedule using a specific strategy. 5. Verify the plan is realistic using the feasibility check. ## Frequently Asked Questions **How do I use this MCP with my AI client?** You connect to the MCP through Vinkius. Once connected, you can use it directly within Claude, Cursor, Windsurf, or any other MCP-compatible client. **Can I choose how my tasks are scheduled?** Yes. You can instruct your agent to use different strategies, such as prioritizing deadlines first or spreading tasks out evenly. **What happens if I try to schedule too much work?** The MCP includes a validation tool that checks if your proposed schedule is logically sound and stays within your available hours. **Does this MCP track my actual job applications?** It tracks your job targets, including the specific tasks and deadlines associated with them, to help build your schedule. **Do I need to manually enter my availability every time?** The MCP can retrieve your total available hours for the week, allowing your agent to calculate your capacity automatically. **How does the scheduling optimization work?** You can choose between 'deadline_first' to prioritize urgent tasks or 'even_spread' to distribute your workload more evenly across the week. **Can I verify if my plan is realistic?** Yes, you can use the `validate_plan_feasibility` tool to check if your schedule respects your available hours and task deadlines. **How do I see my current job applications?** Use the `list_job_targets` tool to retrieve all active job targets, including their associated tasks and deadlines.