Firebase Realtime Database▌
by ytzlax
Use Firebase as database for real-time data management. Integrate with database on Firebase to securely query, list, and
Integrates with Firebase Realtime Database using Admin SDK authentication to enable querying documents by field filters, listing collections, and adding new documents for real-time data management workflows.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Mobile app developers using Firebase
- / Real-time chat and messaging systems
- / Live data dashboard management
- / IoT data collection workflows
capabilities
- / Query documents with field filters
- / List database collections
- / Add new documents to database
- / Access real-time data synchronization
- / Authenticate using Firebase Admin SDK
what it does
Connects to Firebase Realtime Database through Admin SDK to query, filter, and manage real-time data directly from AI assistants.
about
Firebase Realtime Database is a community-built MCP server published by ytzlax that provides AI assistants with tools and capabilities via the Model Context Protocol. Use Firebase as database for real-time data management. Integrate with database on Firebase to securely query, list, and It is categorized under databases, cloud infrastructure.
how to install
You can install Firebase Realtime Database in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Firebase Realtime Database is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Firebase Realtime Database MCP
<a href="https://glama.ai/mcp/servers/@ytzlax/firebase-realtimeDB-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@ytzlax/firebase-realtimeDB-mcp/badge" /> </a>Overview
The inspiration for this project was taken from firebase-mcp. Unlike firebase-mcp, which uses Firestore functionalities, firebase-realtimeDB-mcp uses Firebase Realtime Database functionalities. Firebase Realtime Database MCP enables AI assistants to work directly with Firebase services.
🚀 Quick Start
Prerequisites
- Firebase project with service account credentials
- Node.js environment
1. Firebase Configuration
- Go to Firebase Console → Project Settings → Service Accounts
- Click "Generate new private key"
- Save the JSON file securely
2. Environment Variables
Required
SERVICE_ACCOUNT_KEY_PATH: Path to your Firebase service account key JSONFIREBASE_DATABASE_URL: Firebase realtime database URL
1. Install Firebase Realtime Database MCP project locally
A. Run git clone https://github.com/ytzlax/firebase-realtimeDB-mcp.git in the terminal.
B. cd to the cloned path, and run npm i.
C. Run npm run build.
2. Install MCP Server
Add the server configuration to your MCP settings file:
- Claude Desktop:
~/Library/Application Support/Claude/claude_desktop_config.json - Augment:
~/Library/Application Support/Code/User/settings.json - Cursor:
[project root]/.cursor/mcp.json
How to use with Claude Desktop?
Follow the guide https://modelcontextprotocol.io/quickstart/user and add the following configuration:
{
"firebase-realtimeDB-mcp": {
"command": "node",
"args": ["/absolute/path/to/dist/index.js"],
"env": {
"SERVICE_ACCOUNT_KEY_PATH": "/absolute/path/to/serviceAccountKey.json",
"FIREBASE_DATABASE_URL": "your-project-id.firebasestorage.app"
}
}
}
Firebase Tools
| Tool | Description | Required Parameters |
|---|---|---|
get_documents_by_filter | Get documents by filter | collectionName, field,value |
list_collections | List root collections | None |
add_doc | Add Document | json object |
FAQ
- What is the Firebase Realtime Database MCP server?
- Firebase Realtime Database is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Firebase Realtime Database?
- This profile displays 37 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Direct Database Queries from AI
Enable Claude to query your database directly using natural language
Example
Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly
Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster
Data Analysis & Reporting
Generate complex reports and analytics without leaving conversation
Example
Analyze sales trends, cohort retention, user behavior patterns conversationally
Democratize data access—non-technical team members can query databases
Schema Exploration
Understand database structure, relationships, and data models
Example
'Explain the user_orders table schema and its relationships'
Onboard engineers faster, explore unfamiliar databases efficiently
Data Validation & Quality Checks
Run data quality queries to catch anomalies and inconsistencies
Example
Find duplicate records, missing values, orphaned foreign keys automatically
Maintain data integrity with less manual SQL work
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor with MCP support
- ›Database credentials (read-only recommended for safety)
- ›Network access from Claude client to database
- ›Understanding of database security and access control
Time Estimate
15-30 minutes including configuration and testing
Installation Steps
- 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
- 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
- 3.Provide connection string: host, port, database, username, password
- 4.Restart Claude Desktop to load MCP server
- 5.Test connection: 'List all tables in database'
- 6.Run simple query: 'Show me 5 rows from users table'
- 7.Verify results and permissions are correct
- 8.Document query patterns for team use
Troubleshooting
- ⚠Connection refused: Check database is running and network accessible
- ⚠Authentication failed: Verify credentials, check user permissions
- ⚠Claude can't see tables: Grant appropriate read permissions to database user
- ⚠Slow queries: Add indexes, limit result set size, use read replicas
- ⚠MCP server not loading: Check config syntax, restart Claude Desktop
Best Practices▌
✓ Do
- +Use read-only database credentials to prevent accidental writes
- +Connect to read replica, not production primary database
- +Set query timeout limits to prevent long-running queries
- +Document database schema and common queries for AI context
- +Monitor query performance and optimize slow queries
- +Use connection pooling for better performance
- +Test with non-production data first
✗ Don't
- −Don't use production write credentials—risk of data corruption
- −Don't query production database during peak traffic hours
- −Don't expose sensitive PII without proper access controls
- −Don't skip query result validation—AI can misinterpret schema
- −Don't allow unlimited result set sizes—set LIMIT clauses
- −Don't share database credentials in plain text config files
💡 Pro Tips
- ★Create database views for common queries to simplify AI access
- ★Add schema comments/descriptions so AI understands column meanings
- ★Use semantic table/column names ('customer_lifetime_value' not 'clv')
- ★Set up query logging to audit what Claude is querying
- ★Create saved query templates for recurring analysis
- ★Combine with data visualization tools for better insights
Technical Details▌
Architecture
MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.
Protocols
- Model Context Protocol (MCP)
- Database-specific protocols (PostgreSQL, MySQL, MongoDB)
Compatibility
- PostgreSQL
- MySQL
- SQLite
- MongoDB
- Redis
When to Use This▌
✓ Use When
Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.
✗ Avoid When
Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.
Integration▌
- →Read replica connection for analytics queries
- →Database view layer to abstract complex joins
- →Query result caching for repeated questions
- →Audit logging of all AI-generated queries
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★37 reviews- ★★★★★Xiao Srinivasan· Dec 8, 2024
I recommend Firebase Realtime Database for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Omar Gill· Dec 8, 2024
According to our notes, Firebase Realtime Database benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Nikhil Dixit· Nov 27, 2024
We evaluated Firebase Realtime Database against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Omar Rao· Nov 27, 2024
We wired Firebase Realtime Database into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Rahul Santra· Nov 23, 2024
Useful MCP listing: Firebase Realtime Database is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Min Dixit· Nov 19, 2024
Firebase Realtime Database reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Benjamin Menon· Oct 18, 2024
Firebase Realtime Database is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Emma Patel· Oct 18, 2024
Firebase Realtime Database is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Pratham Ware· Oct 14, 2024
Firebase Realtime Database reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Emma Desai· Oct 10, 2024
Useful MCP listing: Firebase Realtime Database is the kind of server we cite when onboarding engineers to host + tool permissions.
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