Feature Requests

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Support Rich Text Formatting in clickup_create_task_comment
This request refers to the ClickUp MCP server (Model Context Protocol), used to connect AI agents and assistants to ClickUp programmatically. The scenario is an AI agent tasked with posting structured updates — such as email summaries, meeting notes, or status digests — directly to ClickUp tasks as comments, without manual intervention. Current behavior The clickup_create_task_comment tool exposed by the ClickUp MCP server currently only accepts a comment_text parameter, which sends the comment content as a plain string to the ClickUp API. As a result, any Markdown-like syntax (e.g. bold , italic , @mentions) is treated as literal text and rendered without formatting in the ClickUp UI. Expected behavior Comments created via the MCP tool should support rich text formatting — at minimum bold, italic, headings, and @mention resolution — in the same way that comments typed directly in the ClickUp web editor are rendered. Root cause The ClickUp API supports two distinct modes for comment content: comment_text — plain string, no formatting comment — an array of rich text blocks in ClickUp's proprietary format, which the web editor uses internally The ClickUp MCP server currently only wraps comment_text. Exposing the comment parameter (or an intermediate Markdown-to-ClickUp-rich-text conversion layer) would allow formatted output through the MCP tool as well. Proposed solution Add support for rich text input in the clickup_create_task_comment MCP tool, either by: Accepting a markdown_comment parameter and converting it server-side to ClickUp's rich text block format before calling the API, or Exposing the raw comment array parameter for advanced use cases where the caller constructs the block structure directly. Option 1 is preferred for ease of use, as it would be consistent with the markdown_description parameter already available in the clickup_update_task MCP tool — meaning the pattern is already partially established within the MCP server itself. Impact This limitation affects any AI agent workflow using the ClickUp MCP server where comments are generated programmatically. Without rich text support, the output is harder to read and loses the structure that makes it actionable in context — undermining one of the core use cases for integrating an AI agent with ClickUp via MCP.
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Assigned Comments Report by User (Unresolved)
We need a workspace-level report/card that shows, for each team member, how many assigned comments they currently have unresolved, regardless of whether the comment is on their own task or someone else’s task. Current limitation: At the moment, users can only see their own assigned comments in Home / Assigned Comments. There is no centralized view for managers or workspace owners to see assigned comment counts for other users, nor a per-user summary. Expected behavior: A list of users with a counter of Unresolved Assigned Comments. Clicking the counter opens a detailed view with the related comments and tasks. Filters: Workspace / Space / Folder / List, date range (optional), priority (optional), team/group (optional). Permissions respected (only show comments the viewer has access to). Optional metrics: overdue assigned comments, aging, trend over time. Use cases: Workload and follow-up visibility for managers, leads, and support teams. Identifying bottlenecks caused by unresolved assigned comments. Prioritization and accountability for reviews and approvals. Acceptance criteria: I can select a scope (workspace or subset) and see unresolved assigned comment counts per user. I can drill down to the underlying comments and tasks. Counts update near real time and respect permissions. Impact: Eliminates manual tracking and the need for external integrations or API-heavy workarounds to understand assigned comment workload across the team.
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