Sunsama

Sunsama MCP Connector for Claude

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Connect your AI to Sunsama. Actively manage your day, orchestrate tasks, and balance your work natively from the terminal.

8 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Integrate the mindful focus of the Sunsama daily planner directly into your conversational AI environment. Empower your engineering or administrative focus by allowing your LLM to intuitively pull tasks, filter backlog activities, and assign contexts dynamically without constant tab-switching. With this MCP connector attached securely to your workspace, your conversational agent functions as an objective scheduling assistant, seamlessly tracking and resolving your agenda.

What you can do

  • Agenda Discovery — Query your scheduled events actively using list_tasks and retrieve deep contextual dependencies of an item utilizing get_task_details.
  • Task Orchestration — Add new action items seamlessly via create_task or modify ongoing assignments intuitively using update_task.
  • Taxonomy Mapping — Review your organizational frameworks executing list_channels and list_contexts to accurately file items according to team domains.
  • Profile Confirmations — Safely extract your user metadata boundaries and operational statuses natively invoking get_user_profile.

How it works

  1. Enable the Sunsama MCP module orchestrator as an active system integration.
  2. Bind your verified SUNSAMA_API_KEY directly from your workspace parameters precisely to your environment matrix.
  3. Instruct your artificial intelligence concisely: "Analyze my pending tasks for today, generate a new assigned block under the 'Development' channel, and mark yesterday's review as completed."

Who is this for?

  • Founders & Executives — Mitigate schedule conflicts iteratively without breaking focus, directing agenda adjustments via an analytical AI agent.
  • Software Engineers — Centralize your daily planned agenda cleanly inside your IDE or local conversational CLI, reporting progress directly in real-time.
  • Project Managers — Consolidate activities safely tracking team deliverables and personal timelines without bloated secondary interfaces.
daily-planningtask-prioritizationwork-life-balancetime-managementfocus-tracking

8 tools expose this connector's capabilities to your AI agent.

list_tasks

You can filter by date. Lists all tasks in Sunsama

create_task

Provide text and an optional planned date. Creates a new task in Sunsama

delete_task

This action is irreversible. Permanently deletes a task

get_user_profile

Retrieves the current user profile

get_task_details

Retrieves details for a specific task

list_channels

g., "Work", "Personal"). Lists available Sunsama channels

list_contexts

Lists available Sunsama contexts

update_task

Updates an existing task

See how to talk to your AI agent using Sunsama.

List my tasks for today, complete the design review, and schedule a documentation update for next Monday.

Accessing API matrix logically and retrieving tasks... **Today's Schedule (`list_tasks`)**: - `Design Architecture Review` - `Sprint Synchronization` Applying targeted operational parameters resolutely: - Task `Design Architecture Review` successfully marked as complete naturally. - Executed `create_task` effectively. "Documentation Update" dynamically listed safely on schedule appropriately.

Read my custom organizational domains running `list_channels` securely, and pull contextual details applying `list_contexts` effectively.

Verifying team structures reliably properly structurally... **Team Compartments (`list_channels`)**: - `Frontend Sprints` - `Platform Reliability` **Tag Frameworks (`list_contexts`) smoothly optimally**: - Context `Urgent` and `Low Priority` mapped correctly.

Verify my identity token evaluating the API user profile comprehensively.

Parsing account telemetry cleanly natively... **User Profile Confirmation (`get_user_profile`)**: The workspace environment authorized your access efficiently as `Admin` under your active operational email directly seamlessly. Done.

Yes. The AI intrinsically utilizes `list_channels` and `list_contexts` effectively to accurately parse pre-existing frameworks before assignment seamlessly.

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