What API key is required?
A Gemini API key from AI Studio is required — set it with the `genaikey` environment variable.
@nohe427
基本信息
This is a sample for showing how to do FIrebase Docs as an MCP server (including indexing documents)
工具列表暂未提供
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。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
export genaikey="APIKEY".docs-mcp folder, run go run . to index Firebase docs into $HOME/.indexResp/db.sqlite.docs-mcp-server folder: cp $HOME/.indexResp/db.sqlite ..npm ci && npm run build.npx @modelcontextprotocol/inspector node build/index.js (or use the Genkit tester via npx genkit start -- npx tsx --watch src/index.ts).find-firebase-doc toolA Gemini API key from AI Studio is required — set it with the `genaikey` environment variable.
The SQLite database is stored at `$HOME/.indexResp/db.sqlite`.
The server uses STDIO transport.
The author reports trouble using the VSCode integrated terminal for the inspector; use your system terminal instead.
Go, Node.js, npm, and Genkit are required. The indexer uses Go and the server uses Node.js.

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