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InstantDB

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instantdb

Instant is the best backend for AI-coded apps. You get auth, permissions, storage, presence, and streams — everything you need to ship apps your users will love.

Publisherinstantdb
Repositoryinstant
LanguageTypeScript
Forks
408
Stars
10.5K
Available tools
0
Transport typestdio
Categories
LicenseApache-2.0
Links
  • Connect tools to AI workflows

    InstantDB exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    10.5K stars and 408 forks from the linked repository.

Instant is the best backend for AI-coded apps. You get auth, permissions, storage, presence, and streams — everything you need to ship apps your users will love.

You write relational queries in the shape of the data you want and Instant handles all the data fetching, permission checking, and offline caching. When you change data, optimistic updates and rollbacks are handled for you as well. Plus, every query is multiplayer by default.

We also support ephemeral updates, like cursors, or who's online. Currently we have SDKs for Javascript, React, and React Native.

How does it look? Here's a barebones chat app in about 12 lines:

javascript
// ༼ つ ◕_◕ ༽つ Real-time Chat
// ----------------------------------
// * Updates instantly
// * Multiplayer
// * Works offline

import { init, id } from "@instantdb/react";

const db = init({ 
  appId: process.env.NEXT_PUBLIC_APP_ID,
});

function Chat() {
  // 1. Read
  const { isLoading, error, data } = db.useQuery({
    messages: {},
  });

  // 2. Write
  const addMessage = (message) => {
    db.transact(db.tx.messages[id()].update(message));
  };

  // 3. Render!
  return <UI data={data} onAdd={addMessage} />;
}

Want to see for yourself? try a demo in your browser.

Motivation

Writing modern apps is full of schleps. Most of the time you start with the server: stand up databases, caches, ORMs, and endpoints. Then you write client-side code: stores, selectors, mutators. Finally you paint a screen. If you add multiplayer you need to think about stateful servers, and if you support offline mode, you need to think about IndexedDB and transaction queues.

To make things worse, whenever you add a new feature, you go through the same song and dance over and over again: add models, write endpoints, stores, selectors, and finally the UI.

Could it be better?

In 2021, we realized that most of the schleps we face as UI engineers are actually database problems in disguise. (We got into greater detail in this essay)

If you had a database on the client, you wouldn't need to think about stores, selectors, endpoints, or local caches: just write queries. If these queries were multiplayer by default, you wouldn't have to worry about stateful servers. And if your database supported rollback, you'd get optimistic updates for free.

So we built Instant. Instant gives you a database you can use in the client, so you can focus on what’s important: building a great UX for your users, and doing it quickly.

Architectural Overview

Here's how Instant works at a high level:

Under the hood, we store all user data as triples in one big Postgres database. A multi-tenant setup lets us offer a free tier that never pauses.

A sync server written in Clojure talks to Postgres. We wrote a query engine that understands datalog and InstaQL, a relational language that looks a lot like GraphQL:

javascript
// give me all users, their posts and comments
{
  users: {
    posts: {
      comments: {
      }
    }
  }
}

Taking inspiration from Asana’s WorldStore and Figma’s LiveGraph, we tail postgres’ WAL to detect novelty and invalidate relevant queries.

For the frontend, we wrote a client-side triple store. The SDK handles persisting a cache of recent queries to IndexedDB on web, and AsyncStorage in React Native.

All data goes through a permission system powered by Google's CEL library.

Getting Started

The easiest way to get started with Instant is by signing up on instantdb.com. You can create a functional app in 5 minutes or less.

If you have any questions, you can jump in on our discord.

Contributing

You can start by joining our discord and introducing yourself. Even if you don't contribute code, we always love feedback.

If you want to make changes, start by reading the client and server READMEs. There you'll find instructions to start Instant locally.

Use InstantDB MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once InstantDB is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add InstantDB as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the InstantDB MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "instantdb-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "<mcp-server-package>"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the InstantDB MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the InstantDB MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use InstantDB to help me with this task?
InstantDB
Sure. I read it.
Here is what I found using InstantDB.

Frequently asked questions

What is the InstantDB MCP server used for?

InstantDB is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use InstantDB MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use InstantDB with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use InstantDB MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With InstantDB connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect InstantDB MCP to TypingMind?

InstantDB runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does InstantDB MCP provide in TypingMind?

InstantDB exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use InstantDB MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If InstantDB requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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