- PERSISTENCE
- CONTEXT
- LOGGING
- HUMAN
Short answer
How can I give my AI a persistent memory?
You can use this connector to let your AI write data to a specific Firestore collection or pull existing data back out. This allows your agent to track user preferences, session states, or custom profiles. You'll see how the AI manages these records below.
Memory outcomes
Where data lives
What happens when your AI uses Firestore.
PERSISTENCE
Saved user profiles
The AI writes specific user details to a document. This keeps information available even after you close your current chat session.
CONTEXT
Retrieved session states
Your agent pulls existing data from a collection to understand the current context. It uses this to stay consistent with previous interactions.
LOGGING
Activity tracking
The AI can record specific events or preferences as they happen. This builds a structured history of how you interact with the agent.
HUMAN
Manual data review
You remain in control of the database. The AI only interacts with the specific collection you authorize, leaving your other data untouched.
The workflow
What your AI does when data arrives.
The AI handles the heavy lifting of database management so you can focus on the conversation.
Capture preference
When you tell the AI something important about yourself, it prepares a data object to save.
set_documentWrite to Firestore
The AI sends that data to your specified collection to ensure it is stored permanently.
set_documentRecall information
When you ask a follow-up question, the AI looks up the relevant document in your collection.
get_documentApply context
The AI uses the retrieved data to tailor its next response to your specific needs.
get_document
Try it
Copy these to start.
Use these prompts to trigger memory actions immediately.
Starting points
Replace the bracketed text with your actual Firestore collection name and the specific details you want to save.
Google Firestore Collection Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_D9PPFFrmux8dXozdC2CFNnwDeOgr9v7H0CtVCBNC/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Google Firestore Collection capabilities are ready to use.
{
"mcpServers": {
"google-firestore-collection-mcp": {
"url": "https://edge.vinkius.com/vk_preview_D9PPFFrmux8dXozdC2CFNnwDeOgr9v7H0CtVCBNC/mcp"
}
}
}Save my preference for dark mode in the 'user_settings' collection.
Check the 'session_state' collection to see what we discussed in our last meeting.
Store my current project name, 'Project Phoenix', in the 'client_data' collection.
Look up the user profile for 'user_123' in Firestore and tell me their interests.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Google Firestore Collection once, then ask.
Just click the link to connect. Your credentials stay encrypted and private, and you can start using these tools in your favorite MCP client right away.
Connect Google Firestore Collection to your AIFAQ
How this task behaves
- 01
Can the AI delete documents in my Firestore database?
No. The AI only has the ability to set and get documents. It cannot delete or overwrite existing data unless you explicitly tell it to set a new value for that document path.
- 02
Can the AI access my entire Google Cloud project?
No. The AI is restricted to the specific collections and documents you interact with through the provided tools.
- 03
Does the AI remember things without me asking it to save them?
No. The AI only saves information when you give it a command or when its logic triggers a save action based on your instructions.
- 04
How does the AI know which collection to use?
You specify the collection name in your prompt, and the AI uses that path to target the correct location in Firestore.
- 05
Can I use this to store large files like images?
No. This connector is designed for structured document data like text, numbers, and booleans. It is not meant for binary file storage.
More questions about Google Firestore Collection? The Connector page answers them. See everything the Google Firestore Collection Connector can do
Connect Google Firestore Collection to Claude, Cursor, ChatGPT & more
