MCP Server Firebase

@sheep52031

代码仓库

基本信息

分类

云与基础设施

传输方式

stdio

作者

sheep52031

关于 MCP Server Firebase

暂无概览

MCP Server Firebase 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-firebase-sheep52031": {
      "command": "npx",
      "args": [
        "wrangler",
        "secret",
        "put",
        "FIREBASE_PROJECT_ID"
      ]
    }
  }
}

MCP Server Firebase 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is MCP Server Firebase?

MCP Server Firebase is a Model Context Protocol (MCP) server implementation that integrates with Firebase Firestore. It offers two deployment modes: a local Node.js mode using the Firebase Admin SDK and a Cloudflare Workers mode using the Firebase REST API. It is designed for developers and AI agents that need a standardized way to perform Firestore operations through the MCP protocol.

How to use MCP Server Firebase?

After installing dependencies with npm install, configure the server according to your chosen mode. For local mode, set the SERVICE_ACCOUNT_KEY_PATH environment variable to your Firebase service account key. For Workers mode, configure FIREBASE_PROJECT_ID, FIREBASE_API_KEY, and FIREBASE_AUTH_DOMAIN in wrangler.toml or as Cloudflare Secrets. Run npm run dev for local mode, npm run dev:worker for Workers development, or npm run dev:all for both. Connect your MCP client to the server endpoint (e.g., http://localhost:8765 for local) and use tools such as mcp_firebase_mcp_firestore_add_document to interact with Firestore.

Key features of MCP Server Firebase

Firestore document CRUD operations (create, read, update, delete)
Query collections and subcollections with filters
Dual deployment: local Node.js or Cloudflare Workers
Uses MCP protocol for standardized AI tool integration
Supports serverless environments via Firebase REST API

Use cases of MCP Server Firebase

AI agents reading and writing Firestore data in real-time
Serverless Firestore workflows deployed on Cloudflare Workers
Integrating Firebase into MCP-compatible AI clients
Automating content management with structured data queries

常见问题

How does MCP Server Firebase differ from directly using the Firebase Admin SDK?

It provides a standardized MCP interface, allowing AI clients to interact with Firestore through a unified tool-based API without writing custom integration code.

What are the runtime requirements?

Local mode requires Node.js 18 or later and a Firebase service account key file. Cloudflare Workers mode requires a Firebase project ID, Web API key, and authentication domain.

Where is data stored?

All data remains in your own Firebase Firestore database. The server acts as a proxy and does not cache or store data elsewhere.

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