Firebase MCP
Firebase MCP is a protocol server designed for seamless integration of AI assistants with Firebase services, including Firestore, Storage, and Authentication. It allows managing database documents, uploading files, and user verification through simple API commands, facilitating automation and enhancing productivity for developers and AI applications.
Added on:
Created by:
Apr 21 2025
Firebase MCP is a protocol server designed for seamless integration of AI assistants with Firebase services, including Firestore, Storage, and Authentication. It allows managing database documents, uploading files, and user verification through simple API commands, facilitating automation and enhancing productivity for developers and AI applications.
Added on:
Created by:
Apr 21 2025
Gannon Hall
Featured
What is Firebase MCP?
Firebase MCP (Model Context Protocol) provides a standardized server framework that allows AI assistants to directly interact with Firebase services. It supports operations such as adding, retrieving, updating, and deleting Firestore documents, managing Firebase Storage files by uploading from local paths, Base64 data, or external URLs, and handling user authentication processes. The protocol ensures secure, efficient, and scalable communication between AI models and Firebase, enabling automation of data management, file handling, and user verification tasks within applications. It incorporates features like automatic content type detection, persistent public URLs for uploads, and flexible configuration options, making it a vital tool for developers integrating AI with Firebase ecosystems.
Who will use Firebase MCP?
- Developers working on Firebase projects
- AI application developers
- Automation engineers
- Backend developers
- Researchers integrating Firebase data
How to use the Firebase MCP?
- Step 1: Ensure you have a Firebase project with service account credentials
- Step 2: Install the Firebase MCP server via npm or local build
- Step 3: Configure the MCP server with your Firebase environment variables
- Step 4: Start the MCP server using the appropriate command or runtime setup
- Step 5: Connect your AI client or application to the MCP server endpoint
- Step 6: Use MCP supported commands like firestore_add_document, storage_upload, or auth_get_user to perform Firebase operations
Firebase MCP's Core Features & Benefits
The Core Features
- firestore_add_document
- firestore_list_documents
- firestore_get_document
- firestore_update_document
- firestore_delete_document
- storage_list_files
- storage_get_file_info
- storage_upload
- storage_upload_from_url
- auth_get_user
The Benefits
- Automates Firebase data and file management
- Supports multiple upload methods and content types
- Provides persistent public URLs for uploaded files
- Enables AI assistants to interact securely with Firebase services
- Simplifies integration with various AI clients
Firebase MCP's Main Use Cases & Applications
- Automating database record management in Firebase via AI
- Uploading and sharing files through AI-powered processes
- User verification and authentication workflows
- Integrating Firebase with AI for real-time data processing
- Building AI-driven automation for Firebase project maintenance
FAQs of Firebase MCP
Developer
- gannonh
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