firebase-docs-mcp

firebase-docs-mcp

0
ai_chatbotknowledge_and_memorycloud_platforms

The Firebase Docs MCP Server Setup project indexes and serves Firebase documents using a model context protocol server. It uses a Gemini embedding model and provides tools for testing and interaction with the indexed data.

Firebase Docs MCP Server Setup

  • This project includes a model context protocol server to index and serve Firebase documents.
  • Directory Layout:
    • docs-mcp: Indexes Firebase documents.
    • docs-mcp-server: Model context protocol server to serve content.
    • genkit-mcp-tester: MCP client to test the docs-mcp-server.
  • How to Use:
    • Set API Key from AI Studio for Gemini embedding model.
    • Start indexing with the go command from docs-mcp folder.
    • Test indexer via docs-mcp-server using npm commands.
    • Use Genkit for testing and interaction.