Firebase MCP Server
About
You can use the Firebase MCP server to give AI-powered development tools the ability to work with your Firebase projects and your app's codebase.
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- firebase
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Setup
Install Firebase MCP Server in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/firebase/firebase-tools
Follow the installation instructions in the repository README, then restart your MCP client.
You can use the Firebase MCP server to give AI-powered development tools the ability to work with your Firebase projects and your app's codebase.
- Create and manage Firebase projects— Ask the assistant to initialize a new project withfirebase_create_projector list existing projects and apps.
- Manage Authentication users— Retrieve user details withauth_get_users, update custom claims, or disable accounts viaauth_update_user.
- Query and update Firestore or Realtime Database— Read, write, and manage documents usingfirebase_read_resourcesand database-related tools.
- Debug crashes with Crashlytics— Fetch issue details, list recent crash events, and add notes usingcrashlytics_get_issueandcrashlytics_list_events.
- Validate and retrieve security rules— Check Firestore, Storage, or Realtime Database rules for errors withfirebase_validate_security_rules.
- Monitor App Hosting backends— List backends viaapphosting_list_backendsand fetch recent build or runtime logs withapphosting_fetch_logs.
The Firebase Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Firebase projects and your app's codebase. The Firebase MCP server works with any tool that can act as an MCP client, including:Firebase Studio,Gemini CLI,Claude Code,Cline,Cursor, VS Code Copilot,Windsurf, and more!
An editor configured to use the Firebase MCP server can use its AI capabilities to help you:
- Create and manage Firebase projects- Initialize new projects, list existing ones, and manage Firebase apps
- Manage Firebase Authentication users- Retrieve, update, and manage user accounts
- Work with Cloud Firestore and Firebase SQL Connect- Query, read, write, and manage database documents
- Retrieve Firebase SQL Connect schemas- Generate schemas and operations with AI assistance
- Understand security rules- Validate and retrieve security rules for Firestore, Cloud Storage, and Realtime Database
- Send messages with Firebase Cloud Messaging- Send push notifications to devices and topics
- Access Crashlytics data- Debug issues, view crash reports, and manage crash analytics
- Deploy to App Hosting- Monitor backends and retrieve logs
- Work with Realtime Database- Read and write data in real-time
- Query Cloud Functions logs- Retrieve and analyze function execution logs
- Manage Remote Config- Get and update remote configuration templates
Some tools useGemini in Firebaseto help you:
- Generate Firebase SQL Connect schema and operations
- Consult Gemini about Firebase products
Important:Gemini in Firebase can generate output that seems plausible but is factually incorrect. It may respond with inaccurate information that doesn't represent Google's views. Validate all output from Gemini before you use it and don't use untested generated code in production. Don't enter personally-identifiable information (PII) or user data into the chat.
Learn more aboutGemini in Firebase and how it uses your data.
Make sure you have a working installation ofNode.jsandnpm.
The Firebase MCP server can work with any MCP client that supports standard I/O (stdio) as the transport medium. When the Firebase MCP server makes tool calls, it uses the same user credentials that authorize the Firebase CLI in the environment where it's running.
Here are configuration instructions for popular AI-assistive tools:
Install theFirebase extension for Gemini CLI:
gemini extensions install https://github.com/firebase/agent-skills
The easiest way to set up the Firebase MCP server in Claude Code is to install the official Firebase plugin:
-
Add the Firebase marketplace for Claude plugins:
claude plugin marketplace add firebase/firebase-tools
Alternatively, you can manually configure the Firebase MCP server by running:
claude mcp add firebase npx -- -y firebase-tools@latest mcp
You can verify the installation by running:
firebase: npx -y firebase-tools@latest mcp - ✓ Connected
Add to.cursorrulesin your project directory or configure in Cursor settings:
{ "mcpServers": { "firebase": { "command": "npx", "args": ["-y", "firebase-tools@latest", "mcp"] } } }
Add to~/.codeium/windsurf/mcp_config.json:
{ "mcpServers": { "firebase": { "command": "npx", "args": ["-y", "firebase-tools@latest", "mcp"] } } }
To configure Firebase Studio to use the Firebase MCP server, edit or create the configuration file:.idx/mcp.json
{ "mcpServers": { "firebase": { "command": "npx", "args": ["-y", "firebase-tools@latest", "mcp"] } } }
Once configured, the MCP server will automatically provide Firebase capabilities to your AI assistant. You can:
- Ask the AI to help set up Firebase services
- Query your Firestore database
- Manage authentication users
- Deploy to Firebase Hosting
- Debug Crashlytics issues
- And much more!
For a complete list of available tools and resources, see theServer Capabilitiessection below.
For more information, visit theofficial Firebase MCP server documentation.
The Firebase MCP server provides three types of capabilities:Tools(functions that perform actions),Prompts(reusable command templates), andResources(documentation files for AI models).
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