Firebase Docs MCP Server Setup

Name: Firebase Docs MCP Server Setup
Author: nohe427

@nohe427

代码仓库

关于 Firebase Docs MCP Server Setup

This is a sample for showing how to do FIrebase Docs as an MCP server (including indexing documents)

#firebase #mcp #server-setup

基本信息

分类

记忆与知识

许可证

Apache-2.0 license

运行时

传输方式

stdio

发布者

nohe427

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

工具

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概览

What is Firebase Docs MCP Server Setup?

Firebase Docs MCP Server Setup is a toolchain that indexes Firebase documentation into a local SQLite database and serves the indexed content through a Model Context Protocol (MCP) server using stdio transport. It is designed for developers who want to query Firebase documentation via MCP-compatible AI assistants or tools. The project includes a Go-based indexer, a Node.js MCP server, and a Genkit-based MCP client for testing.

How to use Firebase Docs MCP Server Setup?

Set the Gemini API key: export genaikey="APIKEY".
From the docs-mcp folder, run go run . to index Firebase docs into $HOME/.indexResp/db.sqlite.
Copy the database to the docs-mcp-server folder: cp $HOME/.indexResp/db.sqlite ..
Install dependencies and build: npm ci && npm run build.
Test the MCP server: npx @modelcontextprotocol/inspector node build/index.js (or use the Genkit tester via npx genkit start -- npx tsx --watch src/index.ts).

Key features of Firebase Docs MCP Server Setup

Indexes multiple Firebase documentation pages into a local SQLite database
Uses Gemini embedding models for document retrieval
Provides a stdio-based MCP server for tool-based queries
Includes a Genkit MCP client for interactive testing
Implements retry logic on indexing failures

Use cases of Firebase Docs MCP Server Setup

Querying Firebase documentation through an AI assistant using MCP tools
Building a custom documentation retrieval pipeline for Firebase content
Testing and debugging an MCP server with a local Genkit DevUI
Integrating Firebase docs into Genkit flows via the find-firebase-doc tool

FAQ from Firebase Docs MCP Server Setup

What API key is required?

A Gemini API key from AI Studio is required — set it with the genaikey environment variable.

Where is the indexed database stored?

The SQLite database is stored at $HOME/.indexResp/db.sqlite.

What transport does the MCP server use?

The server uses STDIO transport.

Are there any known issues with running the inspector?

The author reports trouble using the VSCode integrated terminal for the inspector; use your system terminal instead.

What dependencies are needed?

Go, Node.js, npm, and Genkit are required. The indexer uses Go and the server uses Node.js.

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