Best MCP Servers for React + Firebase in 2026

React and Firebase is a popular pairing for a reason: Firebase handles authentication, database, storage, and hosting while React handles the UI. But the simplicity of the stack hides real pain points. The Firebase SDK has gone through a major rewrite (v8 namespaced to v9 modular), AI assistants constantly mix up the two syntaxes, auth flow testing requires a running browser, and the frontend-heavy nature of Firebase apps means you spend a disproportionate amount of time building UI components. Model Context Protocol (MCP) servers address each of these by giving your AI assistant direct access to component libraries, design files, browser automation, and up-to-date SDK documentation.

This is not about adding complexity to a deliberately simple stack. It is about removing the friction points that slow you down within that stack. This guide covers the five MCP servers that matter most for React + Firebase development and how they work together.

Magic MCP (21st.dev) -- Components That Match Your Firebase App's Needs

Author: 21st.dev | Tools: 4 | Requires: 21st.dev API key

Firebase handles the backend, which means your development time is overwhelmingly spent on the frontend. Every feature you build is a React component: auth forms, data tables, real-time chat interfaces, file upload widgets, user dashboards. Magic MCP accelerates this by connecting your assistant to 21st.dev's library of production-ready React and Tailwind components.

What It Does

Four tools: a component builder that generates new components from descriptions, a component search to browse 21st.dev's existing library, a component refiner that improves UI elements already in your codebase, and a logo search for brand assets. Everything it generates uses React and Tailwind CSS, matching the dominant styling approach in the React ecosystem.

How It Helps in Practice

You are building a user dashboard for your Firebase app. It needs a sidebar navigation, a header with the user's avatar and name, a main content area with a data grid, and a notification dropdown. Each of these is a component you could build from scratch, but the cumulative time adds up quickly when Firebase is already handling the data layer and you just need the UI.

With Magic MCP, you describe the dashboard layout and the assistant generates a complete component structure. The sidebar has the right responsive behavior, the avatar component handles image loading states, the data grid supports sorting. You then wire these components to your Firebase data sources -- Firestore queries, Auth state, Storage URLs -- which is the part that actually requires your domain expertise.

The refiner tool shines when you have functional components that look unpolished. A Firestore-connected chat interface that works correctly but has inconsistent spacing, missing scroll behavior, and no loading states? The refiner upgrades the visual layer without touching your Firebase integration logic.

Configuration

{
  "mcpServers": {
    "magic": {
      "command": "npx",
      "args": ["-y", "@21st-dev/magic"],
      "env": {
        "TWENTY_FIRST_API_KEY": "your-api-key"
      }
    }
  }
}

Get your API key from 21st.dev.

Context7 MCP -- Ending the Firebase v8 vs v9 Confusion

Author: Upstash | Tools: 2 | Setup: Zero-config (npx)

This server solves what is arguably the single biggest pain point in AI-assisted Firebase development: the constant confusion between Firebase SDK versions. The v8 namespaced API (firebase.firestore().collection('users').get()) and the v9/v10 modular API (collection(db, 'users') with getDocs) are completely different syntaxes. AI assistants mix them up constantly because their training data contains abundant examples of both.

What It Does

Context7 MCP provides two tools that fetch live documentation for any library. The first resolves a library name to a Context7-compatible ID. The second queries that library's current docs with a specific question and returns relevant code examples and explanations. For a React + Firebase project, this means your assistant can check the current Firebase SDK documentation before writing any Firebase code, and it can do the same for React, React Router, or any other library in your stack.

How It Helps in Practice

You ask your assistant to add Firestore real-time listeners to your React component. Without Context7, there is a significant chance it generates something like this:

// v8 syntax -- wrong if you are on v9+
firebase.firestore().collection('messages')
  .onSnapshot(snapshot => { ... })

With Context7, the assistant checks the current Firebase documentation first and writes the modular v9 syntax that matches your installed SDK:

import { collection, onSnapshot } from 'firebase/firestore';
import { db } from '../firebase';

const messagesRef = collection(db, 'messages');
onSnapshot(messagesRef, (snapshot) => { ... });

This extends beyond just Firestore. Firebase Auth has the same v8/v9 split: firebase.auth().onAuthStateChanged() versus onAuthStateChanged(auth, callback). Firebase Storage, Cloud Functions, Performance Monitoring -- every service has two different API surfaces, and Context7 ensures your assistant uses the right one.

For React specifically, Context7 helps with patterns that changed in React 18 and 19: concurrent features, use hook, server components (if you are using Next.js with Firebase), and updated context patterns. When your Firebase auth state listener needs to work correctly with React's strict mode double-rendering, the assistant checks the current React docs to handle it properly.

Configuration

{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp"]
    }
  }
}

No API key required.

Playwright MCP -- Testing Auth Flows and Real-Time Interactions

Author: Microsoft | Tools: 20 | Setup: Zero-config (npx)

Firebase applications rely heavily on client-side behavior that is difficult to test without a real browser. Authentication flows with Google Sign-In, real-time Firestore updates that render as they arrive, file upload progress indicators, push notification permission prompts -- all of these require a running browser to verify. Playwright MCP gives your assistant control over a real browser, making these untestable interactions testable.

What It Does

Twenty tools covering full browser automation: navigation, accessibility snapshots, clicking, typing, form filling, viewport resizing, tab management, file uploads, dialog handling, screenshot capture, and JavaScript evaluation. The accessibility snapshot approach gives the assistant a structured understanding of page content rather than relying on fragile coordinate-based interaction.

How It Helps in Practice

Your Firebase app has an authentication flow: email/password sign-up, email verification prompt, redirect to dashboard, and Firestore user document creation. Testing this manually means creating a new test account, clicking through each step, checking the Firestore console, and then cleaning up the test data. With Playwright MCP, you ask the assistant to walk through the flow:

1. Navigate to /signup
2. Fill in the email and password fields
3. Click "Create Account"
4. Verify the verification prompt appears
5. Check that the dashboard loads (or that the verification gate blocks access)
6. Report any errors in the console

The assistant drives the browser through each step and reports exactly what happens. If the auth state listener is not updating correctly, or if there is a race condition between account creation and Firestore document creation, the assistant sees it in real time.

For real-time features, Playwright MCP is particularly valuable. You can open two browser tabs (the server supports tab management), log in as different users in each, and verify that Firestore real-time updates propagate correctly between them. One tab sends a message; the other should display it within seconds. The assistant can verify the timing and report if updates are delayed or missing.

Configuration

{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": ["-y", "@playwright/mcp"]
    }
  }
}

No API keys. Launches a local browser on demand.

Figma MCP -- Design Fidelity for a Frontend-Heavy Stack

Author: Community | Tools: 8 | Requires: Figma access token

Firebase apps are frontend-heavy by nature. When your backend is a managed service, the quality of your product is determined almost entirely by the quality of your UI. Figma MCP connects your assistant to your design files, ensuring that the components you build match the specs exactly -- spacing, typography, colors, layout constraints -- without constant tab-switching.

What It Does

The server provides tools to access Figma files and extract structured design data: color tokens, typography scales, spacing values, component properties, auto-layout settings, and layer hierarchy. Your assistant reads the same inspect-panel data you would read manually, but it can consume it programmatically and apply it to code in the same step.

How It Helps in Practice

Your designer has created a Figma file for the app's onboarding flow: a welcome screen, a profile setup form, and a workspace creation step. Each screen has specific spacing, color usage, button styles, and responsive breakpoints. Without Figma MCP, you would open the Figma file, click on each element, note the values, switch to your editor, and translate them into Tailwind classes or CSS -- repeating for every screen.

With Figma MCP, you tell the assistant to look at the "Onboarding - Step 1" frame. It reads the padding (32px), the heading size (24px/bold), the input field styling (1px border, 8px radius, #e7e5e4 border color), and the button colors (orange #f97316 primary, white text). It then writes the component with those exact values applied as Tailwind utilities, cross-referencing with Tailwind MCP if available to ensure the classes exist.

For Firebase apps where the frontend is the product, this level of design fidelity is not a nice-to-have -- it is the difference between an app that feels polished and one that feels like a developer prototype.

Configuration

{
  "mcpServers": {
    "figma": {
      "command": "npx",
      "args": ["-y", "figma-mcp"],
      "env": {
        "FIGMA_ACCESS_TOKEN": "your-figma-token"
      }
    }
  }
}

Generate a personal access token from your Figma account settings.

GitHub MCP -- Version Control and Firebase Hosting Deployments

Author: Anthropic | Tools: 20 | Requires: GitHub personal access token

GitHub is where your React code lives, and for many Firebase projects, GitHub Actions is the deployment pipeline. GitHub MCP connects your assistant to the GitHub API for managing repositories, pull requests, issues, and CI workflows -- tying your development workflow together with your deployment process.

What It Does

Twenty tools covering the full GitHub workflow: creating and managing repositories, opening and reviewing pull requests, creating issues, managing branches, searching code, and monitoring GitHub Actions workflows.

How It Helps in Practice

Your Firebase project uses GitHub Actions to deploy to Firebase Hosting on every push to main. You have just finished a feature branch with a new Firestore-connected dashboard page. With GitHub MCP, the assistant creates a pull request with a description that reflects the actual changes -- new components, Firestore security rule updates, Firebase config changes -- rather than a generic summary.

More importantly, the assistant can monitor the GitHub Actions deployment workflow after the PR is merged. Firebase Hosting deploys can fail due to build errors, Cloud Functions compilation issues, or security rules validation failures. Instead of checking the Actions tab in your browser, you ask the assistant to check the deployment status. If it failed, it pulls the logs and identifies the issue.

For teams, GitHub MCP helps manage the Firebase-specific review concerns. When a PR changes Firestore security rules (firestore.rules), the assistant can flag this for extra review attention. When a PR adds a new Cloud Function, it can check that the function is properly exported and that the firebase.json configuration includes it.

Configuration

{
  "mcpServers": {
    "github": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-github"],
      "env": {
        "GITHUB_PERSONAL_ACCESS_TOKEN": "your-github-token"
      }
    }
  }
}

Create a personal access token with repo scope from your GitHub settings.

Combining Everything -- The React + Firebase Workflow

These five servers cover the full React + Firebase development loop:

1. Design: Figma MCP reads the design specs. Magic MCP generates the component structure. You start with a polished UI rather than a blank file.
2. Implement: Context7 MCP ensures Firebase SDK calls use the correct modular syntax and React patterns match your version.
3. Test: Playwright MCP drives a browser through auth flows, real-time updates, and full user journeys.
4. Ship: GitHub MCP manages the PR, monitors the GitHub Actions deployment to Firebase Hosting, and tracks issues.

The workflow in practice: you say "Build the chat interface from the Figma file and connect it to Firestore." The assistant reads the design from Figma, generates the component shell with Magic MCP, checks the current Firebase and React docs via Context7 to use the correct onSnapshot syntax, wires the component to your Firestore collection, and then opens the page in Playwright to verify that messages render in real time. Four MCP servers, one conversation, zero tab switches.

The total token cost is approximately 31,810 tokens -- about 16% of a 200K context window. This leaves ample room for the component code, Firebase configuration, and conversation context that a typical React + Firebase session requires.

Getting Started

Start with the server that solves your most frequent frustration:

• AI keeps mixing up Firebase v8 and v9? Context7 MCP eliminates this immediately. It is the highest-impact addition for Firebase developers.
• Building too many components from scratch? Magic MCP gives you professional starting points in seconds.
• Cannot test auth flows without manual browser work? Playwright MCP automates the browser for you.
• Spending too long translating Figma specs? Figma MCP reads the design data directly.
• Disconnected from CI and deployments? GitHub MCP ties your editor to your deployment pipeline.

For Firebase projects, Context7 MCP and Magic MCP together address the two biggest time sinks: SDK version confusion and component-heavy frontend work. Start there and add the others as needed.

For the complete pre-configured stack, visit the React + Firebase Stack on stackmcp.dev. Select your AI client, enter your API keys, and copy the config. Your full React + Firebase development environment will be MCP-connected in under a minute.