MCP Server Firebase
M

MCP Server Firebase

An MCP server implementation based on Firebase, offering two operation modes: local Node.js and Cloudflare Workers, and supporting CRUD operations and query functions for the Firestore database.
2 points
9.2K

What is MCP Server Firebase?

MCP Server Firebase is a middleware service that helps developers easily connect to and use Firebase's Firestore database in different environments. It encapsulates common database operations and provides a unified API interface.

How to use MCP Server Firebase?

You can choose to run it in a local Node.js environment or deploy it to the Cloudflare Workers cloud platform. Both modes offer the same functional interfaces, but the underlying implementation methods are different.

Use Cases

Suitable for projects that need to manage Firestore database operations uniformly, especially applications that need to maintain interface consistency in different environments (development/production). Also applicable to scenarios where server-side access to Firebase is required but direct exposure of service account keys is not desired.

Main Features

Firestore Database Operations
Supports full CRUD operations (create, read, update, delete documents) and collection query functions.
Dual Operation Modes
Provides local Node.js mode and Cloudflare Workers mode to meet different deployment requirements.
Advanced Query Filtering
Supports document queries with various filtering conditions, such as equal to, greater than, less than, and other comparison operations.
Collection Management
Can list main collections and sub - collections for easy navigation of the database structure.
Advantages
Unified interface: Use the same API interface in different environments.
Security: Avoid directly exposing Firebase credentials on the front - end.
Flexibility: Supports both local development and cloud deployment modes.
Simplified development: Encapsulates complex operations and provides a concise calling method.
Limitations
Learning curve: Requires understanding of the basic concepts of the MCP protocol.
Dependency on Firebase: Only applicable to the Firebase Firestore database.
Performance overhead: There is an additional abstraction layer compared to directly using the Firebase SDK.

How to Use

Install the Project
Clone the repository and install dependencies.
Configure the Environment
Configure the corresponding environment variables according to the mode you choose.
Run the Service
Start the service in the corresponding mode.
Connect the Client
Use the MCP client to connect to the service in your application.

Usage Examples

User Data Storage
Store and retrieve user profile information.
Product Catalog Query
Query all products with a price higher than 100 yuan.
Real - Time Order Status Update
Update the status information of an e - commerce order.

Frequently Asked Questions

What are the differences between the two operation modes?
How to ensure data security?
What Firestore query operations are supported?
Can Firestore transactions be handled?
What is the performance like?

Related Resources

Firebase Official Documentation
Official documentation for various Firebase features.
Cloudflare Workers Documentation
Development and deployment guide for Cloudflare Workers.
MCP Protocol Specification
Official specification of the Model Context Protocol.
Example Project Repository
An example project using MCP Server Firebase.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
5.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
4.9K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.2K
4 points
P
Paperbanana
Python
7.4K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.0K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.7K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.7K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
21.5K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.5K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
24.7K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.5K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
32.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.1K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
97.5K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase