AI Agent for Firebase MCP
Seamlessly connect AI assistants to your Firebase services with Firebase MCP. Enable document management, file storage, and user authentication directly through AI-powered workflows across popular clients like Claude Desktop, VS Code, Augment Code, and Cursor. Streamline Firestore operations, simplify storage tasks, and automate authentication—all from your favorite MCP-enabled environment.
Unified Firestore, Storage & Authentication Tools
Empower your AI workflows with direct access to Firestore document operations, seamless file storage management, and robust authentication tools—all in one place. Firebase MCP’s integration allows AI-powered agents to add, update, and query documents, upload and retrieve files, and manage users effortlessly, optimizing productivity for data-driven teams.
- Firestore Document Automation.
- Add, list, update, and delete documents in your Firestore collections with AI-driven commands.
- Seamless File Storage.
- Upload, list, and manage files in Firebase Storage directly from your AI interface.
- Effortless User Management.
- Query and manage user authentication via secure, automated tools.
- Multi-Platform Client Support.
- Integrate with Claude Desktop, VS Code, Augment, and Cursor for a smooth cross-platform experience.
Flexible Deployment & Easy Integration
Install Firebase MCP via npx or local setup and connect to your MCP-enabled client with minimal configuration. Supports both stdio and HTTP transports for versatile deployment—run as a background service or as a standalone HTTP server to serve multiple clients. Configuration is simple, with clear environment variable support for secure and scalable operations.
- Simple Configuration.
- Set up with environment variables for credentials, storage buckets, and transport options.
- Versatile Transport Options.
- Switch between stdio for local use or HTTP for multi-client remote access.
- Session Management.
- Unique session IDs enable safe, concurrent client connections when using HTTP transport.
Robust Troubleshooting & Developer Support
Firebase MCP offers built-in logging, detailed error reporting, and straightforward debugging tools to ensure reliable operations. Access logs, real-time monitoring, and use MCP Inspector for interactive debugging—making it easier for teams and developers to maintain, scale, and troubleshoot AI-powered Firebase integrations.
- Detailed Error Reporting.
- Clear explanations for common Firebase, storage, and authentication errors help users resolve issues fast.
- Real-time Logging & Monitoring.
- Enable file-based and live logs to track, diagnose, and optimize your integration.
- MCP Inspector Support.
- Leverage MCP Inspector for advanced troubleshooting and interactive debugging.
MCP INTEGRATION
Available Firebase MCP Integration Tools
The following tools are available as part of the Firebase MCP integration:
- firestore_add_document
Add a document to a Firestore collection by specifying the collection and data fields.
- firestore_list_documents
List documents in a Firestore collection with support for filtering options.
- firestore_get_document
Retrieve a specific Firestore document by collection and ID, returning its data.
- firestore_update_document
Update an existing Firestore document by providing the collection, ID, and new data.
- firestore_delete_document
Delete a document from a Firestore collection using the collection name and document ID.
- firestore_list_collections
List all root collections in your Firestore database.
- firestore_query_collection_group
Query across Firestore subcollections for documents that match a given collection ID.
- storage_list_files
List files in a Firebase Storage directory, optionally filtered by directory path.
- storage_get_file_info
Get file metadata and download URL for a specified file in Firebase Storage.
- storage_upload
Upload a file to Firebase Storage from provided content and file path.
- storage_upload_from_url
Upload a file to Firebase Storage directly from a specified external URL.
- auth_get_user
Retrieve Firebase Authentication user information by user ID or email.
Supercharge Your AI Workflows with Firebase MCP
Connect your AI assistants directly to Firebase services for seamless data, storage, and authentication operations. Experience robust integration and streamlined automation today.
What is Firebase
Firebase is a comprehensive platform developed by Google that enables developers to rapidly build, improve, and scale mobile and web applications. It offers a suite of cloud-based tools and services including real-time databases, authentication, analytics, cloud messaging, storage, hosting, and serverless functions. With Firebase, developers can focus on creating engaging user experiences while Google manages the backend infrastructure and scaling. Firebase supports seamless integration with Google Cloud and is widely used for real-time applications, user authentication, app monitoring, and deployment. Its robust set of APIs and SDKs makes it a preferred choice for startups and enterprises looking to accelerate app development and ensure reliability.
Capabilities
What we can do with Firebase
Firebase provides developers with a broad array of tools to streamline app development and management. From real-time data synchronization to powerful authentication and deployment workflows, Firebase empowers teams to build, monitor, and grow applications efficiently.
- Realtime Database
- Sync data across all clients in real time.
- Authentication
- Secure user authentication with email, social, or custom providers.
- Cloud Functions
- Run backend code in response to events triggered by Firebase features and HTTPS requests.
- Hosting
- Fast and secure static hosting for web apps.
- Analytics
- Gain insights into app usage and user engagement with built-in analytics.
How AI Agents Benefit from Firebase
AI agents can leverage Firebase's robust infrastructure to manage real-time data, authenticate users, and trigger serverless workflows. By integrating with Firebase, AI agents can build intelligent apps that react to user input, maintain secure sessions, and scale seamlessly without manual intervention. This allows for rapid prototyping, efficient data handling, and the ability to deploy smart features that enhance end-user experiences.