diff --git a/LICENSE.bin b/LICENSE.bin
index 27052f44232..14d44b7d31e 100644
--- a/LICENSE.bin
+++ b/LICENSE.bin
@@ -301,6 +301,7 @@
    Apache Iceberg AWS
    Apache Iceberg core
    Apache Iceberg Hive metastore
+   Apache Iceberg GCP
    Apache Ivy
    Apache Log4j 1.x Compatibility API
    Apache Log4j API
diff --git a/docs/iceberg-rest-service.md b/docs/iceberg-rest-service.md
index 5a94c4674b8..1d8a20c40fa 100644
--- a/docs/iceberg-rest-service.md
+++ b/docs/iceberg-rest-service.md
@@ -146,12 +146,12 @@ Supports using google credential file to access GCS data.
 |----------------------------------|----------------------------------------------------------------------------------------------------|---------------|----------|---------------|
 | `gravitino.iceberg-rest.io-impl` | The io implementation for `FileIO` in Iceberg, use `org.apache.iceberg.gcp.gcs.GCSFileIO` for GCS. | (none)        | No       | 0.6.0         |
 
-For other Iceberg GCS properties not managed by Gravitino like `gcs.project-id`, you could config it directly by `gravitino.iceberg-rest..gcs.project-id`.
+For other Iceberg GCS properties not managed by Gravitino like `gcs.project-id`, you could config it directly by `gravitino.iceberg-rest.gcs.project-id`.
 
 Please make sure the credential file is accessible by Gravitino, like using `export GOOGLE_APPLICATION_CREDENTIALS=/xx/application_default_credentials.json` before Gravitino Iceberg REST server is started.
 
 :::info
-Please set `gravitino.iceberg-rest.warehouse` to `gs://{bucket_name}/${prefix_name}`, and download [Iceberg gcp bundle](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-gcp-bundle) and place it to the classpath of Gravitino Iceberg REST server.
+Please set `gravitino.iceberg-rest.warehouse` to `gs://{bucket_name}/${prefix_name}`, and download [Iceberg gcp bundle](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-gcp-bundle) and place it to the classpath of Gravitino Iceberg REST server, `iceberg-rest-server/libs` for the auxiliary server, `libs` for the standalone server.
 :::
 
 #### HDFS configuration
@@ -337,7 +337,7 @@ For example, we can configure Spark catalog options to use Gravitino Iceberg RES
 --conf spark.sql.catalog.rest.uri=http://127.0.0.1:9001/iceberg/
 ```
 
-You may need to adjust the Iceberg Spark runtime jar file name according to the real version number in your environment. If you want to access the data stored in cloud, you need to download [Iceberg AWS bundle](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-aws-bundle) jar or [Iceberg gcp bundle](https://mvnrepository.com/artifact/org.apache.iceberg/iceberg-gcp-bundle) and place it in the classpath of Spark, no extra config is needed because related properties is transferred from Iceberg REST server to Iceberg REST client automatically. 
+You may need to adjust the Iceberg Spark runtime jar file name according to the real version number in your environment. If you want to access the data stored in cloud, you need to download corresponding jars (please refer to the cloud storage part) and place it in the classpath of Spark, no extra config is needed because related properties is transferred from Iceberg REST server to Iceberg REST client automatically. 
 
 ### Exploring Apache Iceberg with Apache Spark SQL