A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.
Enables interaction with Firebase projects and services, including deployment, database management, authentication, and local emulation, through natural language.
An MCP Server that provides natural language access to Google's Firebase Realtime Database API, enabling database operations and management through conversation.
The Firebase MCP server provides a standardized interface to interact with Firebase services, including Firebase Authentication, Firestore, and Firebase Storage.
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 secure, read-only access to Firebase Firestore collections and Storage buckets for Digital Asset Management systems. It allows users to query assets, versions, and comments, and search storage files using flexible filters through standard MCP tools.
An MCP server that enables interaction with the Firebase App Check API, allowing users to verify and manage the authenticity of requests to Firebase backend services through natural language.
An MCP server that provides a conversational interface to Firebase Rules API, allowing users to manage and deploy rules that determine data access in Firebase services.
Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.
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.
A Model Context Protocol (MCP) Server that allows AI models to securely interact with data hosted in Azure Database for PostgreSQL. It enables natural language querying, schema exploration, and data management through MCP clients like Claude Desktop and Visual Studio Code.
Enables querying and management of live Firebase projects, providing access to Firestore collections and documents. It also allows users to retrieve and filter Cloud Function logs directly through the Model Context Protocol.
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.