"firebase" matching MCP servers:

A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.

The Firebase MCP server provides a standardized interface to interact with Firebase services, including Firebase Authentication, Firestore, and Firebase Storage.

A server providing a unified interface to interact with Firebase services, including Authentication, Firestore, and Storage.

Enables interaction with Firebase projects and services, including deployment, database management, authentication, and local emulation, through natural language.

Enables interaction with Firebase Authentication and Firestore through the MCP protocol, allowing user management and database operations via natural language. Optimized for deployment on Railway.com.

A general-purpose MCP server for Firebase that enables natural language interaction with Firestore, Auth, Storage, and Cloud Functions logs through schema-driven validation and context-efficient tools.

Enables AI assistants to work directly with Firebase realtime database

A clean, simple Model Context Protocol (MCP) server that integrates Firebase Crashlytics with BigQuery for AI-powered crash analysis. Built for use with Claude Code and other MCP-compatible AI assistants.

Enables AI assistants to manage todo lists through natural language by creating, listing, updating, completing, and deleting tasks stored in Firebase Firestore. Supports custom system prompts for personalized task management workflows.

Provides integration between Genkit and the Model Context Protocol (MCP).

An MCP server that provides access to Firebase Remote Config, allowing clients to interact with and manage Firebase remote configuration settings through the Model Context Protocol.

Enables Claude Code to generate, edit, blend, and create variations of images using BytePlus SeeDream AI models, with streaming and Firebase sync.

A shared memory MCP server for the Senegalese MOHEBS teaching and learning materials pipeline that ensures AI-generated documents remain consistent in characters, terminology, and concept coverage while varying example domains, operating across grade and subject via Firebase storage.

Provides secure, permission-controlled access to Firebase Firestore databases with full CRUD operations, advanced queries, batch operations, and transactions through a standardized MCP interface.

Gives AI assistants hands-on control over Google Play Console and Google Cloud Console using an authorized Google identity. Exposes 95 tools for shipping app builds and release tracks, managing store listings, reviews, in-app products, GCP projects and IAM, Firebase projects and App Distribution, and Cloud Storage or Artifact Registry resources.

Enables validation, saving, publishing, and inspection of Galaxy Maps courses from local JSON files via Firebase integration.

Enables Claude to generate and edit images using Google's Gemini image models, with options for resolution and batch processing, and optional Firebase Storage for cross-environment image transfer.

Enables AI agents and LLMs to securely interact with Firestore databases through complete CRUD operations (get, set, add, delete, query) while respecting Firestore Security Rules via the Firebase Client SDK.

Enables interaction with Baby Daybook data through Firebase, allowing users to manage babies, activities, growth, sleep predictions, and more via natural language commands.

A remote MCP server demonstrating OAuth 2.1 authentication with Firebase, providing a 'whoami' tool that returns the authenticated user's identity and plan.