Harbor MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Harbor MCPlist open issues in project KAN"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
What is Harbor?
Harbor is a single-operator Kanban that stays on localhost. Use the web UI to manage projects and issues, or drive the same board from any MCP client (Claude, Cursor, and others) through a stdio MCP server that talks to the Nest API.
MCP client ──stdio──► Harbor MCP ──HTTP Bearer──► Nest API ──► Postgres
Browser ─────────────────────────► Harbor UI ──/api──► Nest APIPackage | Path | Role |
|
| NestJS + Prisma + OpenAPI |
|
| Harbor UI (Vite + React) |
|
| Stdio MCP server |
Related MCP server: kanban-mcp
What you can do
Projects & boards — multiple projects, Columns and List layouts, column colors, reorder, done columns
Issues — create, edit, move, archive/restore, delete; priority, type, due date, effort (hours / LOC)
Dependencies — issue links (
blocks,relates_to,duplicates) with cycle checks; blocker summaries via MCPLabels, comments, activity — label attach/detach, threaded comments, activity history
Attachments — multipart file upload in the issue drawer (UI/API; max 20 MB)
Live updates — board refreshes over SSE when the API or an MCP agent changes data
Global search —
Ctrl/Cmd+Kacross projectsMCP tools — projects, columns, issues, links, blockers, epics, labels, comments, activity
Auth — first-run admin signup, cookie sessions for the UI, Bearer MCP tokens from Harbor
Quick start
Requirements: Bun 1.3+, Docker
git clone git@github.com:Eidantz/Harbor.git
cd Harbor
bun install
bun run setup:env # copies .env.example → .env and links apps/api/.env
bun run docker:up # builds & starts db + api + webService | URL (defaults) |
Harbor UI | |
API health | |
OpenAPI |
Ports come from .env (WEB_PORT, API_PORT, POSTGRES_PORT). Defaults are 3010 / 3001 / 5433 so Harbor can sit next to stacks that already use 3000 / 5432 (e.g. Langfuse).
On a fresh database, open the UI and create the admin account. After that, the same screen is sign-in. Seed data includes sample project KAN.
Stop the stack with bun run docker:down.
MCP
Harbor exposes a stdio MCP server any compatible client can launch (Claude Desktop / Claude Code, Cursor, and others).
Start Harbor (
bun run docker:up) and complete admin signup.In the UI: MCP tokens → Create token (copy it once).
Build the server:
bun run build:mcpPoint your client at the server with the same command + env:
{
"mcpServers": {
"harbor": {
"command": "node",
"args": ["/absolute/path/to/Harbor/apps/mcp/dist/index.js"],
"env": {
"KANBAN_API_URL": "http://127.0.0.1:3001",
"KANBAN_API_TOKEN": "<paste token from Harbor>"
}
}
}
}Client | Where to put the config |
Claude Desktop | Claude → Settings → Developer → Edit Config ( |
Claude Code | Project or user |
Cursor | Copy |
Use an absolute path to apps/mcp/dist/index.js when the client does not start in the repo root. Reload MCP after changing config.
Full tool catalog: apps/mcp/README.md.
Development
Keep Postgres in Docker; run API and web on the host:
bun run setup:env
docker compose up -d db
bun run db:migrate:deploy
bun run db:seed
bun run dev # API :3001 + web :3000Useful scripts: bun run dev:api, bun run dev:web, bun run db:studio, bun run smoke.
Auth & privacy
Client | Mechanism |
Harbor UI | First-run signup, then login → HTTP-only session cookie |
MCP / scripts |
|
Compose publishes ports on
127.0.0.1only.Real secrets live in
.envand local MCP config files (e.g..cursor/) — gitignored. Use.env.exampleanddocs/mcp.example.jsonas templates.Rotate
SESSION_SECRETand revoke MCP tokens for anything beyond casual local use.
License
This server cannot be deployed
Maintenance
Related MCP Connectors
Task & board management for AI agents + humans. Kanban, comments, digests via MCP.
Remote MCP for Kanban AI boards—manage projects, tasks, and comments from AI tools.
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
AI-native Kanban board — connect Claude to claim, work and move your tasks over MCP.
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