mcp server
KanbanThing
Create and drive KanbanThing kanban boards. No account, no API key, board link required.
Description as published by the maintainer. Source
- version 0.1.0
- active
active — Most recent push to the repository was 2026-08-03.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 11 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-03 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 4 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.1.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-02 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-08-02 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Kanera
— last commit 2026-08-06, shares kanban, project-management, task-management
Manage Kanera cards, checklists, comments, notes, attachments, activity, and work reports.
-
io.github.bzdOS/hubd
— last commit 2026-07-26, shares kanban, project-management, task-management
The project tracker for teams of humans and AI agents — in plain files. MCP server + CLI.
-
io.github.davegomez/fizzy
— last commit 2026-02-15, shares kanban
MCP server for Fizzy task management
-
SuperSkill Registry
— last commit 2026-07-31, shares supabase
Find, inspect and install reviewed reusable AI-agent capabilities from superskill.sh.
-
io.github.365xbusiness/vigo-mcp
— last commit 2026-02-24, shares supabase
AI-powered Hong Kong SFC regulatory intelligence. Bilingual EN/ZH compliance queries.
-
Nutrition MCP
— last commit 2026-08-06, shares supabase
Personal nutrition tracking — log meals, track macros, review history, import from another app.
-
io.github.alex-odoo/myfinance-mcp
— last commit 2026-07-22, shares supabase
Personal finance by conversation: expenses, receipts, statement import, budgets, net worth.
-
io.github.Bayway/janusmcp
— last commit 2026-08-04, shares supabase
Multi-account tool broker for AI agents — CLI and MCP.
-
MakeMeBetter AI
— last commit 2026-07-29, shares productivity, task-management
Manage your MakeMeBetter AI tasks, habits, and goals from your AI assistant.
-
OpenProject
— last commit 2026-07-14, shares productivity, project-management
Manage OpenProject projects, work packages, files, relations, boards, users, and notifications.
These share tags the maintainers applied themselves, such as kanban, project-management, task-management, supabase. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: kanban, kanban-board, nextjs, no-login, no-signup, productivity, project-management, supabase, task-management, trello-alternative.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab