"How to Interact with Firebase Projects" matching MCP servers:

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

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

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

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

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

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Enables AI assistants to work directly with Firebase realtime database

Project management CLI + MCP server for AI agents. Register projects once, open them anywhere, sync to S3, auto-init git, and wire into the hasna ecosystem.

Enables managing GitHub Projects v2 boards through Claude Code and Codex, including project and item administration, field updates, sprint boards, epic rollups, and desired-state planning.

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.

An MCP server that converts Markdown files containing Mermaid diagrams into PDF documents by rendering diagrams as SVG images. It provides a specialized tool to automate document conversion while ensuring all visual charts are correctly embedded in the final output.

github-projects-mcp

Enables AI assistants to interact with Zoho Projects for managing projects, tasks, issues, milestones, users, and performing searches. Supports comprehensive project management operations through natural language with automatic OAuth token handling.

Exposes Firebase emulator data (Firestore, Auth, Realtime Database, and logs) to AI coding assistants for local development inspection.

Enables querying World Bank projects and operations data using natural language through the Pipeworx MCP gateway.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

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.

A bridge that enables Large Language Models to read from and write to Firebase Firestore collections through Model Context Protocol (MCP) tools.

Enables authenticated team members to manage Odoo projects, tasks, timesheets, and milestones through Claude, with per-user token-based authentication.