Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Let AI agents draw on your local-first KaiBoard whiteboards (relay or local folder).
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We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
KAIBOARD_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"kaiboard": {
"command": "npx",
"args": [
"-y",
"@kaibuddy/kaiboard-mcp"
],
"env": {
"KAIBOARD_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add kaiboard --env KAIBOARD_TOKEN=your-value -- npx -y @kaibuddy/kaiboard-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"kaiboard": {
"command": "npx",
"args": [
"-y",
"@kaibuddy/kaiboard-mcp"
],
"env": {
"KAIBOARD_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"kaiboard": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@kaibuddy/kaiboard-mcp"
],
"env": {
"KAIBOARD_TOKEN": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account ChasenKai, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: KAIBOARD_TOKEN
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.4.2) reached the registry 41 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, Tethered Trust
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
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English | 简体中文 · Protocol · Changelog
Let MCP-capable AI agents draw on your own KaiBoard whiteboards.
KaiBoard is a free, open-source, local-first whiteboard: your boards live on your own device, never in the cloud. This repo is the bridge that lets an agent read and edit those boards — the agent runs wherever your MCP client runs, and the canvas stays on your machine.
It contains two independently usable packages:
| Package | Role |
|---|---|
@kaibuddy/kaiboard-mcp | MCP server (stdio JSON-RPC 2.0) exposing the kbfs_* tools |
@kaibuddy/kaiboard-core | Storage-agnostic command core (executor, element model, snapshots, Mermaid conversion) |
@kaibuddy/kaiboard-mcp is a single package that serves two combinable modes through the same set of kbfs_* tools:
--relay mode (recommended) | --dir mode | |
|---|---|---|
| Backend | A running KaiBoard page | A local folder you choose |
| App must be open? | Yes (with "Agent co-draw" enabled in the app) | No |
| Typical use | The agent works on the user's live board, changes visible immediately | A workspace the agent owns offline |
| Data location | The user's own KaiBoard library | /kaiboard-data/ |
Both can be enabled at once:
kaiboard-mcp --relay --dir /path/to/workspace
npm install -g @kaibuddy/kaiboard-mcp
npx -y @kaibuddy/kaiboard-mcp
Requires Node.js >= 18.
Recommended: `--relay` mode — drives the board you're looking at, with changes visible immediately. It needs a relay token, obtained from KaiBoard's "Agent co-draw" panel:
{
"kaiboard": { "command": "npx", "args": ["-y", "@kaibuddy/kaiboard-mcp", "--relay"], "env": { "KAIBOARD_TOKEN": " " } } }
--relaystarts a built-in local relay on127.0.0.1:8787that talks to the KaiBoard page.
The relay and the page must therefore be on the same machine, and the page has to stay open while the agent works.
--dir mode can also be used on its own (no app required — the agent works in a local folder):
{
"kaiboard-mcp": { "command": "npx", "args": ["-y", "@kaibuddy/kaiboard-mcp", "--dir", "/path/to/your/workspace"] } }
Or combine them: "args": ["-y", "@kaibuddy/kaiboard-mcp", "--relay", "--dir", "/path/to/your/workspace"]
Restart your MCP client after changing the config so it picks up the new server.
tools/list returns 20 tools: 19 commands plus one capability declaration. ⚠️ marks a destructiveHint tool (may make hard-to-undo changes); the tools in the read-only group are readOnlyHint: true.
| Tool | Purpose |
|---|---|
| Discovery — read-only | |
kbfs_list_capabilities | Runtime capabilities: available commands, storage modes, snapshot limit, server info |
kbfs_list_boards | List boards and folders |
kbfs_list_trash | List soft-deleted boards / folders (trash) |
kbfs_get_board | Read a board's elements |
kbfs_get_screenshot | Render a board to PNG so the agent can look at it (--relay; degrades gracefully under --dir) |
| Boards | |
kbfs_create_board | Create a board |
kbfs_replace_board ⚠️ | Replace a board's contents (auto-snapshot) |
kbfs_rename_board | Rename a board |
kbfs_delete_board ⚠️ | Delete a board (soft delete, restorable in the app) |
| Folders | |
kbfs_create_folder | Create a folder |
kbfs_rename_folder | Rename a folder |
kbfs_delete_folder ⚠️ | Delete a folder |
| Tree | |
kbfs_move_node | Move a board or folder into another folder |
kbfs_reorder_node | Change ordering within a folder |
kbfs_restore_node | Restore a board or folder from the trash |
| Elements | |
kbfs_add_element | Add elements |
kbfs_patch_element | Patch element properties by id |
kbfs_delete_element ⚠️ | Delete elements by id |
| Content & metadata | |
kbfs_from_mermaid | Build native editable elements from a Mermaid diagram |
kbfs_set_metadata | Write board metadata (status / version / history / comments) |
CLI details, envelope format and error codes: see [`docs/PROTOCOL.md`](./docs/PROTOCOL.md).
Elements use the Excalidraw element format. fill is accepted as a shorthand for backgroundColor, and stroke for strokeColor:
{
"type": "rectangle", "id": "r1", "x": 40, "y": 40, "width": 160, "height": 90, "fill": "#ffec99", "stroke": "#e8590c" }
--relay mode the relay listens on 127.0.0.1 only, for same-machine communication; in --dir mode the server reads and writes the local folder you specify.--dir mode): kaiboard-data/boards/ .json plus kaiboard-data/tree.json — a format KaiBoard can open directly.npm install
npm run typecheck # type check npm run build # build both packages into their dist/ npm run e2e # end-to-end (core + fs adapter / real stdio server) npm run smoke # real MCP client smoke test (initialize -> tools/call)
Third-party components are referenced as optional peer dependencies (the license text ships inside each package):
| Component | License | Role |
|---|---|---|
@excalidraw/excalidraw | MIT | element types / canvas rendering (provided by the host) |
@excalidraw/mermaid-to-excalidraw | MIT | Mermaid → element conversion (optional) |
Build-time only: typescript (Apache-2.0), @types/node (MIT).
No upstream source code is vendored — every component is used as an ordinary npm dependency.
Currently 0.4.x — the API may still change between minor versions. 1.0.0 will mark the stability commitment. See CHANGELOG.md for the current release.
MIT