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Google Firestore Collection

Google Firestore Collection MCP Connector for Claude

F

This MCP does exactly one thing: it manages documents in a single Google Firestore Collection. That's its only function, and nothing else. Incredible for giving your AI a secure NoSQL database.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

This server strips away dangerous global GCP permissions. It gives your AI agent one surgical superpower: the ability to query, insert, and update documents inside one specific Firestore Collection.

By strictly scoping access, your AI can safely manage structured data, store chat histories, and process complex NoSQL queries without ever touching your critical cloud databases.

The Superpowers

  • Absolute Containment: The agent is locked to a single collection. It cannot query other collections or drop your production data.
  • Native Firestore Integration: Direct interactions with Firestore, supporting rich document structures and filters.
  • Plug & Play Database: Instantly gives your agent a scalable NoSQL database to store structured memories and application state.
nosqldocument-databasedata-persistencestructured-datacloud-database

3 tools expose this connector's capabilities to your AI agent.

delete_document

Delete a document from the Google Firestore collection

get_document

Read a document from the configured Google Firestore collection

set_document

If the document exists, fields are updated. Create or update a document in the Google Firestore collection

See how to talk to your AI agent using Google Firestore Collection.

Get the document with ID 'task-99'.

I've retrieved document 'task-99'. The fields indicate its status is currently 'in-progress'.

Save this workflow result to a new document 'result-123': {"status": "done", "score": 95}.

I've successfully written the JSON data to the document 'result-123' in the collection.

Delete the temporary 'draft-01' document.

The document 'draft-01' has been deleted successfully.

To enforce zero-trust security. An autonomous AI agent storing its task logs shouldn't have access to query or modify critical user data in other collections.

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