Firestore MCP Server

The Firestore MCP server bridges Claude Desktop and Google Cloud Firestore, offering a streamlined, protocol‑based interface for CRUD operations directly from an AI assistant. By exposing Firestore actions as MCP tools, developers can let Claude query, modify, and manage their NoSQL database without writing custom API wrappers or handling authentication details manually. This removes a common friction point when integrating cloud data into conversational agents, enabling rapid prototyping and production workflows that rely on real‑time database access.

At its core, the server implements a set of tools—, , , , , and . Each tool translates a natural‑language instruction from Claude into the appropriate Firestore SDK call, handling authentication via service account keys stored locally. The server automatically selects the correct project based on a prioritized list supplied in the environment variable , allowing multi‑project support with a single configuration. This design keeps the AI client agnostic to cloud credentials while still providing fine‑grained control over which project is queried.

Key capabilities include:

• Full CRUD: Create, read, update, and delete documents in any collection, with data supplied as JSON payloads.
• Advanced querying: Filter results by field values, order by specified attributes, and limit the number of documents returned—all expressed in concise natural‑language prompts.
• Collection discovery: List all collections available in a Firestore instance, useful for dynamic schema exploration or building UI components that adapt to the database structure.
• Multi‑project handling: Configure multiple Google Cloud projects and designate a default, enabling the same assistant to interact with separate environments (e.g., dev, staging, prod) without re‑deployment.

Real‑world use cases are plentiful. A product manager can ask Claude to “list all users over 25, ordered by name” and receive immediate results pulled straight from Firestore. A developer can prototype a data‑driven chatbot that retrieves user profiles or updates settings on the fly. In continuous integration pipelines, CI agents can invoke these tools to seed test data or clean up after tests, all through the same MCP interface. Because Firestore is a scalable NoSQL store, the server supports high‑throughput operations, making it suitable for applications that require rapid data access or batch processing within conversational flows.

Integrating the Firestore MCP into an AI workflow is straightforward: add the server configuration to , ensure service account keys are in place, and reference the tools by name in prompts. Claude will then automatically surface these capabilities as actionable options, allowing developers to compose complex data manipulations using natural language while the MCP server handles the underlying API calls. This tight coupling of AI reasoning and cloud data access empowers teams to build richer, data‑centric assistants without the overhead of custom backend code.