- PROTOTYPING
- MODIFICATION
- CLEANUP
- HUMAN
Short answer
How can I manage project data records with my AI?
Your AI uses the Reqres Connector to perform CRUD operations on specific collections. You can build, fetch, modify, or remove data to populate your application prototypes. This setup gives you a live data environment controlled by your prompts.
Data outcomes
Where your data lands.
The AI handles the heavy lifting of data manipulation.
PROTOTYPING
Populated datasets
The AI builds out collections of users or resources. You get a full set of data ready for your app tests.
MODIFICATION
Updated records
Change specific fields in existing entries. The AI targets the exact record you need to fix.
CLEANUP
Removed entries
Clear out old or test data once you're done. The AI wipes the specific records you tell it to delete.
HUMAN
Logic oversight
You decide which data structures are correct. The AI follows your instructions, but you verify the final state of the collection.
The workflow
What your AI does when <the thing arrives>.
The AI acts as a direct interface between your chat and the Reqres API.
Build datasets
The AI adds new entries to your collection based on your descriptions.
create_recordFetch information
The AI pulls specific records or lists entire collections to see what is currently stored.
get_recordlist_recordsEdit entries
The AI modifies existing data to reflect changes in your prototype.
update_recordClear data
The AI removes specific records from the collection when they are no longer needed.
delete_record
Try it
Copy these to start.
Use these prompts to kick off your data tasks.
Starting points
Swap out the bracketed text with your specific collection names or user details.
Reqres Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_AtxnuBtQ26tiOA6pBRuixOGykiHBrl8ytWq6813r/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 — Reqres capabilities are ready to use.
{
"mcpServers": {
"reqres-mcp": {
"url": "https://edge.vinkius.com/vk_preview_AtxnuBtQ26tiOA6pBRuixOGykiHBrl8ytWq6813r/mcp"
}
}
}Create a new user record in the users collection with the name 'John Doe' and email 'john@example.com'.
List all the records in the users collection so I can see what we have.
Update the record for user ID 2 to change their job title to 'Senior Engineer'.
Delete the record for user ID 5 from the users collection.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Reqres once, then ask.
Just link the Connector to your AI client. Your credentials stay encrypted, and you can start managing data immediately.
Connect Reqres to your AIFAQ
How this task behaves
- 01
Can the AI create entire databases for me?
No. The AI can only create individual records within existing collections provided by the connector.
- 02
Will the AI delete my data without asking?
No. The AI only performs a deletion when you explicitly instruct it to do so in your prompt.
- 03
Can I use this to test my production database?
No. This connector is designed for Reqres collections, which are used for prototyping and testing.
- 04
Can the AI see my other connected tools?
No. The AI only accesses the specific Reqres tools when you ask it to perform a data task.
- 05
Does the AI handle the API authentication?
Yes. Once you connect the Connector, the AI handles the necessary communication with the Reqres API.
More questions about Reqres? See everything the Reqres Connector can do
Connect Reqres to Claude, Cursor, ChatGPT & more
