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Context Sync for AI Agents & Lovable

The memory layer your AI was
missing.

Connect Lovable to a kanban board via Model Context Protocol (MCP). Your AI reads your tasks, logs updates, and updates tasks automatically — no more re-explaining context every session.

Start for freeTry Interactive Demo

60s

Setup Time

100%

Context Accuracy

Open

Source & Local

loopboard.dev/board/saas-mvp
MCP Live
In Progress1
UI Designt-03

Dashboard UI layout

feat/dashboard-ui+4 files

Creating charts, task cards, and settings view.

Done2
APIt-04

REST API layer

feat/api-layer+12 files

Sync Complete

Database setup

#firebase
Lovable: read board_info
100% synced

Watch MCP in action

Step through a live simulation of a Lovable AI coding session. Watch how the AI automatically queries, modifies, and documents your board using our MCP protocol.

Lovable AssistantMCP Connected
Hey! Let's start the workspace session.
Interactive Simulator Steps:
Project: my-saas-app
To Do
2
#billingt1

Stripe billing flow

feat/stripe-billing2h ago
#emailt2

Email notifications

feat/email-notif5h ago
In Progress
2
#uit3

Dashboard UI

feat/dashboard-ui+4 files10m ago
#backendt4

REST API layer

feat/api-layer+8 files3m ago
Done
1
#backendt5

Database schema

feat/db-init+3 files1d ago
mcp-server.log
// Loopboard MCP Server v1.0.0 is idle.
// Awaiting requests from Lovable...

Lovable forgets. Your board doesn't.

Compare standard AI coding workflows with the seamless memory capability that Loopboard provides.

Instant context initialization via Loopboard MCP
You:

"I'm starting a new session. Let's work on Stripe webhooks."

Tool Call: task_recall()— Loading board schema: Firestore rules (Done), Firebase Auth (Done), Stripe Webhook (To Do).
Lovable AI:

Welcome back! I read your Loopboard. I see Firestore database schema and Firebase Auth are completed. Stripe webhook setup (t-01) is currently in To Do. I will begin building the endpoint at src/app/api/billing/webhook/route.ts.

Designed for professional builders

A reliable context layer that lets your AI work as a true developer partner, not just a scratchpad.

Real-Time Sync Engine

As Lovable performs tasks, moves directories, and adds endpoints, it communicates with our MCP server to update your Kanban board in real time. Never worry about manual sync.

SUPPORTED PROTOCOLS:JSON-RPCSSE

Secure Hashed Tokens

Connect safely. Access tokens are encrypted using AES-GCM and rate-limited. Revoke keys or lock endpoints instantly.

SHA-256 Encrypted

Smart Recall

Automatically fetches structural updates and relevant tasks. It prevents the context window from growing too large while maintaining session coherence.

Query matching limit: 15ms latency

Open Source & Local First

Want zero dependencies on third parties? Spin up our local server version. Keep all board structure and session memories on your own disk. Integrate with Lovable or cursor client locally.

npx @cwim/kanbanGitHub Repository
Protocol Console Specification

11 Developer-focused MCP Tools

Our Model Context Protocol server exposes precise functions that LLMs understand and execute. Click on any core tool below to see exactly how your AI client interacts with Loopboard.

Payload Viewer — task_recall
Description

Automatically retrieves tasks and details that match your AI assistant's current query, recovering context instantly.

JSON RPC Request
{
  "query": "billing integrations"
}
JSON RPC Response
{
  "matched_tasks": [
    {
      "id": "t1",
      "title": "Stripe billing flow",
      "notes": "Using Stripe Elements. Customer portal required.",
      "column": "To Do"
    }
  ]
}

Connect to Lovable in 60 seconds

Follow these three quick steps to establish the memory link.

STEP 01

Create a board

Sign in to your Loopboard dashboard and create a workspace for your project.

STEP 02

Copy API Endpoint

Generate an access token in your board settings. Copy the integration path.

loopboard.dev/api/mcp?proj...
STEP 03

Paste into Lovable

Paste the URL into your project's custom integrations: Settings → Integrations → MCP.

Frequently Asked Questions

Everything you need to know about Loopboard and AI memory state.

Model Context Protocol (MCP) is an open standard designed by Anthropic that allows local or remote clients (like Cursor, Lovable, Claude Desktop) to connect securely to local/remote APIs. Loopboard exposes tools over this protocol, letting your AI query and modify task records on the fly.

Ready to give your AI
a lasting memory?

Get started for free. Setup takes 60 seconds, no credit card required. Connect Lovable to your board today.

Get started for free