Productivity
aynstyn.com
Manages user profiles, schedules interview/practice sessions, and conducts knowledge assessments.
ENDPOINT 1
https://app.aynstyn.com/mcp
Known tools 22
get_user_profileReturns the signed-in user's profile at a glance: credit balance, subscription plan, phone verification status, country, and whether autonomous Cal.com booking is available.
get_interview_slotsFetch real available interview/practice session slots from the Aynstyn calendar for the next few days.
book_appointmentBook an interview or practice session.
assess_knowledgeAssess a user's knowledge on any subject.
create_team_assessmentCreate a team knowledge assessment on a shared subject.
invite_to_teamSend email invitations to team members for a team assessment.
get_team_resultsGet the results dashboard for a team assessment.
get_assessment_historyGet the user's raw past assessment history — scores, covered/missing topics, and feedback for each session.
list_playbook_templatesList available playbook templates.
start_playbook_journeyStart a playbook journey for the user.
get_interview_historyGet the user's AI interview and practice session history.
send_team_reminderSend reminder emails to team members who have not yet completed a team assessment.
get_pending_team_assessmentsList team assessments the signed-in user has been invited to but not yet completed.
create_learning_goalCreate a named learning goal with an auto-generated ordered topic path.
list_learning_goalsList the user's active learning goals with their topic paths and progress counts (how many topics assessed vs total).
schedule_ai_interviewStart a voice-based AI interview session on a subject.
schedule_practice_sessionSchedule a targeted practice session focused on weak topics from previous assessments.
generate_learning_pathGenerate a structured, ordered list of 5–10 topics to master for a given learning goal.
diagnose_learnerSynthesise the user's full assessment history into a prioritised gap analysis with concrete next steps.
plan_autonomous_goalTake a complex learning goal and generate a multi-step execution plan that the agent will run autonomously.
execute_autonomous_planExecute an approved autonomous plan.
get_plan_statusGet the current status and progress of an autonomous plan.