An MCP Server that provides natural language access to Google's Firebase Realtime Database API, enabling database operations and management through conversation.
Provides secure, permission-controlled access to Firebase Firestore databases with full CRUD operations, advanced queries, batch operations, and transactions through a standardized MCP interface.
The Firebase MCP server provides a standardized interface to interact with Firebase services, including Firebase Authentication, Firestore, and Firebase Storage.
Enables AI assistants to interact with Firebase Firestore databases through full CRUD operations, collection management, and advanced query support. It features automatic type conversion for Firestore-specific data and tools for counting or filtering documents.
A Model Context Protocol server that enables large language models like Claude to perform comprehensive interactions with Firebase Firestore databases, supporting full CRUD operations, complex queries, and advanced features like transactions and TTL management.
A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.
An interface for interacting with Google Firestore databases directly through Claude Desktop, supporting operations like creating, reading, updating, and querying documents across collections.
Enables AI agents to interact with Firebase services including Authentication, Firestore Database, and Cloud Storage through a standardized MCP protocol.
A Django app that implements Firebase Model Context Protocol server, enabling AI agents to interact with Firebase services (Authentication, Firestore Database, Cloud Storage) through a standardized protocol.
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.
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.
Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.
Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.
Read-only Text-to-SQL MCP server for PostgreSQL and MySQL that lets users query databases using natural language, with robust multi-layer safety guarantees against writes.