curl --request GET \
     --url 'https://mdb.ai/api/datasources/datasource_name?check_connection=true' \
     --header 'Authorization: Bearer MINDS_API_KEY'

{
    "connection_data": {
        "database": "demo",
        "host": "samples.mindsdb.com",
        "password": "demo_password",
        "port": "5432",
        "schema": "demo_data",
        "user": "demo_user"
    },
    "connection_status": {
        "error_message": null,
        "success": true
    },
    "description": "House sales data",
    "engine": "postgres",
    "name": "my_datasource",
    "tables": ["house_sales"]
}
This API endpoint retrieves details about a specific Datasource using the GET method.

​
Body

​
check_connection
string
Set this value to true to check the connection to the data source.

​
Response

​
connection_data
object
required
Details for connecting to the data source including host, port, user, password, etc.
​
connection_status
object
The status of the connection test, if check_connection=true. Includes success flag and error message if applicable.
​
description
string
Optional description of the datasource.
​
engine
string
required
The engine type of the datasource (e.g., postgres).
​
name
string
required
The unique name of the datasource.
​
tables
array
List of tables that are accessible from this datasource.

​
Authorization

A valid API key must be passed in the Authorization header: 
Authorization: Bearer MINDS_API_KEY
Generate your API key here.

​
Path Parameters

​
datasource_name
string
required
The name of the Datasource you want to retrieve.
curl --request GET \
     --url 'https://mdb.ai/api/datasources/datasource_name?check_connection=true' \
     --header 'Authorization: Bearer MINDS_API_KEY'

{
    "connection_data": {
        "database": "demo",
        "host": "samples.mindsdb.com",
        "password": "demo_password",
        "port": "5432",
        "schema": "demo_data",
        "user": "demo_user"
    },
    "connection_status": {
        "error_message": null,
        "success": true
    },
    "description": "House sales data",
    "engine": "postgres",
    "name": "my_datasource",
    "tables": ["house_sales"]
}