update dependency versions, update README

Author: Jove Zhong

README.md

@@ -36,6 +36,10 @@ An MCP server for Timeplus.
   - Setup a streaming ETL in Timeplus to save the Kafka messages locally
   - Input: `topic` (string): The name of the topic.
 
+* `connect_to_apache_iceberg`
+  - Connect to a database based on Apache Iceberg. Currently this is only available via Timeplus Enterprise and it's planned to make it available for Timeplus Proton soon.
+  - Input: `iceberg_db` (string): The name of the Iceberg database. `aws_account_id` (int): The AWS account ID (12 digits). `s3_bucket` (string): The S3 bucket name. `aws_region` (string): The AWS region, default to "us-west-2". `is_s3_table_bucket` (bool): Whether the S3 bucket is a S3 table bucket, default to False.
+
 ## Configuration
 
 First, ensure you have the `uv` executable installed. If not, you can install it by following the instructions [here](https://docs.astral.sh/uv/).
@@ -98,6 +102,8 @@ TIMEPLUS_KAFKA_CONFIG={"bootstrap.servers":"a.aivencloud.com:28864", "sasl.mecha
 
 4. For easy testing, you can run `mcp dev mcp_timeplus/mcp_server.py` to start the MCP server. Click the "Connect" button to connect the UI with the MCP server, then switch to the "Tools" tab to run the available tools.
 
+5. To build the Docker image, run `docker build -t mcp_timeplus .`.
+
 ### Environment Variables
 
 The following environment variables are used to configure the Timeplus connection:

pyproject.toml

@@ -11,7 +11,7 @@ dependencies = [
     "mcp[cli]>=1.3.0",
     "python-dotenv>=1.0.1",
     "uvicorn>=0.34.0",
-    "timeplus-connect>=0.8.15",
+    "timeplus-connect>=0.8.16",
     "confluent-kafka",
     "pip-system-certs>=4.0",
 ]