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Manage tasks, tags, and user stats on a self-hosted Habitica instance.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "habitica-mcp" yet — see the docs or source repo.
Using habitica-mcp, review my current Habitica tasks and organize the items I should prioritize today by tag.
Returns the current task list and organizes a suggested order by tag or priority.
Using habitica-mcp, add the "content" tag to all writing-related tasks and check whether any tasks are missing tags.
Updates the tags and lists the tasks that were modified or missing tags.
Using habitica-mcp, fetch my Habitica user stats and briefly explain my current progress.
Returns user statistics and provides a brief progress overview.
Developers or knowledge workers can use MCP to let AI read and manage tasks and tags in a self-hosted Habitica instance, reducing manual task organization.
When a user wants AI to understand their completion progress from Habitica data, this tool can read user stats and help produce a progress overview.
It is an MCP tool that connects to a self-hosted Habitica instance over Streamable HTTP to manage tasks, tags, and user stats.
Based on the provided information, you need at least a self-hosted Habitica instance. It exposes MCP tool capabilities over Streamable HTTP; for other setup details, see the source repository.
The description indicates it is an MCP-oriented tool interface, focused on enabling AI or MCP-capable clients to operate on Habitica data rather than serving as a standard human-facing client.
Provides a stdio-based Habitica MCP sample server for early integration testing.
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Read and update today's habits, and view progress summaries instantly.