chore(renaming): Renaming changes across all the files. Updates documentation, file names, directories, configurations etc to reflect the new name of the dataplex toolbox.

Author: anikasharma03

.ci/integration.cloudbuild.yaml

@@ -324,7 +324,7 @@ steps:
           exit 0
         fi
 
-  - id: "dataplex"
+  - id: "knowledge-catalog"
     name: golang:1
     waitFor: ["compile-test-binary", "detect-changes"]
     entrypoint: /bin/bash
@@ -339,16 +339,16 @@ steps:
     args:
       - -c
       - |
-        PATTERN="dataplex|internal/server/|.ci/"
+        PATTERN="knowledge-catalog|internal/server/|.ci/"
 
         if grep -qE "$$PATTERN" /workspace/changed_files.txt; then
-          echo "Changes detected. Running Dataplex tests..."
+          echo "Changes detected. Running Knowledge Catalog tests..."
           .ci/test_with_coverage.sh \
-            "Dataplex" \
-            dataplex \
-            dataplex
+            "Knowledge Catalog" \
+            knowledge-catalog \
+            knowledge-catalog
         else
-          echo "No relevant changes for Dataplex. Skipping shard."
+          echo "No relevant changes for Knowledge Catalog. Skipping shard."
           exit 0
         fi
 

MCP-TOOLBOX-EXTENSION.md

@@ -166,16 +166,16 @@ instances, often by analyzing metrics and logs.
 
 ### Other Google Cloud Data Services
 
-#### Dataplex
+#### Knowledge Catalog (formerly known as Dataplex)
 
-* For interacting with Dataplex data lakes and assets:
+* For interacting with Knowledge Catalog data lakes and assets:
 
     ```bash
-    gemini extensions install https://github.com/gemini-cli-extensions/dataplex
+    gemini extensions install https://github.com/gemini-cli-extensions/knowledge-catalog
     ```
 
     Configuration:
-    https://github.com/gemini-cli-extensions/dataplex/tree/main?tab=readme-ov-file#configuration
+    https://github.com/gemini-cli-extensions/knowledge-catalog/tree/main?tab=readme-ov-file#configuration
 
 #### Looker
 

README.md

@@ -93,7 +93,7 @@ You can use the Toolbox in any MCP-compatible IDE or client (e.g., Gemini CLI, G
 When you run Toolbox with a `--prebuilt=<database>` flag, you instantly get access to standard tools to interact with that database. 
 
 Supported databases currently include:
-- **Google Cloud:** AlloyDB, BigQuery, Cloud SQL (PostgreSQL, MySQL, SQL Server), Spanner, Firestore, Dataplex
+- **Google Cloud:** AlloyDB, BigQuery, Cloud SQL (PostgreSQL, MySQL, SQL Server), Spanner, Firestore, Knowledge Catalog (formerly known as Dataplex)
 - **Other Databases:** PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Redis, Elasticsearch, CockroachDB, ClickHouse, Couchbase, Neo4j, Snowflake, Trino, and more.
 
 For a full list of available tools and their capabilities across all supported databases, see the [Prebuilt Tools Reference](https://googleapis.github.io/genai-toolbox/reference/prebuilt-tools/).

cmd/internal/config_test.go

@@ -1388,7 +1388,7 @@ func TestPrebuiltTools(t *testing.T) {
 	cloudsqlmysql_admin_config, _ := prebuiltconfigs.Get("cloud-sql-mysql-admin")
 	cloudsqlmssql_config, _ := prebuiltconfigs.Get("cloud-sql-mssql")
 	cloudsqlmssql_admin_config, _ := prebuiltconfigs.Get("cloud-sql-mssql-admin")
-	dataplex_config, _ := prebuiltconfigs.Get("dataplex")
+	knowledge_catalog_config, _ := prebuiltconfigs.Get("knowledge-catalog")
 	firestoreconfig, _ := prebuiltconfigs.Get("firestore")
 	mysql_config, _ := prebuiltconfigs.Get("mysql")
 	mssql_config, _ := prebuiltconfigs.Get("mssql")
@@ -1753,8 +1753,8 @@ func TestPrebuiltTools(t *testing.T) {
 			},
 		},
 		{
-			name: "dataplex prebuilt tools",
-			in:   dataplex_config,
+			name: "knowledge catalog prebuilt tools",
+			in:   knowledge_catalog_config,
 			wantToolset: server.ToolsetConfigs{
 				"discovery": tools.ToolsetConfig{
 					Name:      "discovery",

cmd/internal/imports.go

@@ -88,10 +88,10 @@ import (
 	_ "github.com/googleapis/genai-toolbox/internal/tools/conversationalanalytics/conversationalanalyticslistaccessibledataagents"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/couchbase"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/dataform/dataformcompilelocal"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/dataplex/dataplexlookupcontext"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/dataplex/dataplexlookupentry"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/dataplex/dataplexsearchaspecttypes"
-	_ "github.com/googleapis/genai-toolbox/internal/tools/dataplex/dataplexsearchentries"
+	_ "github.com/googleapis/genai-toolbox/internal/tools/knowledge-catalog/knowledgecataloglookupcontext"
+	_ "github.com/googleapis/genai-toolbox/internal/tools/knowledge-catalog/knowledgecataloglookupentry"
+	_ "github.com/googleapis/genai-toolbox/internal/tools/knowledge-catalog/knowledgecatalogsearchaspecttypes"
+	_ "github.com/googleapis/genai-toolbox/internal/tools/knowledge-catalog/knowledgecatalogsearchentries"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/dataproc/dataprocgetcluster"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/dataproc/dataprocgetjob"
 	_ "github.com/googleapis/genai-toolbox/internal/tools/dataproc/dataproclistclusters"
@@ -247,7 +247,7 @@ import (
 	_ "github.com/googleapis/genai-toolbox/internal/sources/cloudsqlpg"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/cockroachdb"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/couchbase"
-	_ "github.com/googleapis/genai-toolbox/internal/sources/dataplex"
+	_ "github.com/googleapis/genai-toolbox/internal/sources/knowledge-catalog"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/dataproc"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/dgraph"
 	_ "github.com/googleapis/genai-toolbox/internal/sources/elasticsearch"

docs/DATAPLEX_README.md docs/KNOWLEDGECATALOG_README.mddocs/DATAPLEX_README.md renamed to docs/KNOWLEDGECATALOG_README.md

@@ -1,12 +1,12 @@
-# Dataplex MCP Server
+# Knowledge Catalog MCP Server
 
-The Dataplex Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud Dataplex Catalog. It supports searching and looking up entries and aspect types.
+The Knowledge Catalog(formerly known as Dataplex) Model Context Protocol (MCP) Server gives AI-powered development tools the ability to work with your Google Cloud Knowledge Catalog. It supports searching and looking up entries and aspect types.
 
 ## Features
 
-An editor configured to use the Dataplex MCP server can use its AI capabilities to help you:
+An editor configured to use the Knowledge Catalog MCP server can use its AI capabilities to help you:
 
-- **Search Catalog** - Search for entries in Dataplex Catalog
+- **Search Catalog** - Search for entries in Knowledge Catalog
 - **Explore Metadata** - Lookup specific entries and search aspect types
 
 ## Prerequisites
@@ -15,7 +15,7 @@ An editor configured to use the Dataplex MCP server can use its AI capabilities
 *   A Google Cloud project with the **Dataplex API** enabled.
 *   Ensure [Application Default Credentials](https://cloud.google.com/docs/authentication/gcloud) are available in your environment.
 *   IAM Permissions:
-    *   Dataplex Viewer (`roles/dataplex.viewer`) or equivalent permissions to read catalog entries.
+    *   Knowledge Catalog Viewer (`roles/dataplex.viewer`) or equivalent permissions to read catalog entries.
 
 ## Install & Configuration
 
@@ -26,7 +26,7 @@ An editor configured to use the Dataplex MCP server can use its AI capabilities
     > `>=0.26.0`. To update MCP Toolbox, use:
     > ```npm i -g @toolbox-sdk/server@latest```
     > To always run the latest version, update the MCP server configuration to use:
-    > ```npx -y @toolbox-sdk/server@latest --prebuilt dataplex```.
+    > ```npx -y @toolbox-sdk/server@latest --prebuilt knowledge-catalog```.
 
 2. Add the required inputs in the configuration pop-up, then click "Save". You can update this configuration at any time in the "Configure" tab.
 
@@ -37,18 +37,18 @@ You'll now be able to see all enabled tools in the "Tools" tab.
 
 ## Usage
 
-Once configured, the MCP server will automatically provide Dataplex capabilities to your AI assistant. You can:
+Once configured, the MCP server will automatically provide Knowledge Catalog capabilities to your AI assistant. You can:
 
-*   "Search for entries related to 'sales' in Dataplex."
+*   "Search for entries related to 'sales' in Knowledge Catalog."
 *   "Look up details for the entry 'projects/my-project/locations/us-central1/entryGroups/my-group/entries/my-entry'."
 
 ## Server Capabilities
 
-The Dataplex MCP server provides the following tools:
+The Knowledge Catalog MCP server provides the following tools:
 
 | Tool Name             | Description                                                                                                                  |
 |:----------------------|:-----------------------------------------------------------------------------------------------------------------------------|
-| `search_entries`      | Search for entries in Dataplex Catalog.                                                                                      |
+| `search_entries`      | Search for entries in Knowledge Catalog.                                                                                      |
 | `lookup_entry`        | Retrieve specific subset of metadata (for example, schema, usage, business overview, and contacts) of a specific data asset. |
 | `search_aspect_types` | Find aspect types relevant to the query.                                                                                     |
 | `lookup_context`      | Retrieve rich metadata regarding one or more data assets along with their relationships.                                     |
@@ -66,9 +66,9 @@ Add the following configuration to your MCP client (e.g., `settings.json` for Ge
 ```json
 {
   "mcpServers": {
-    "dataplex": {
+    "knowledgeCatalog": {
       "command": "npx",
-      "args": ["-y", "@toolbox-sdk/server", "--prebuilt", "dataplex", "--stdio"],
+      "args": ["-y", "@toolbox-sdk/server", "--prebuilt", "knowledge-catalog", "--stdio"],
       "env": {
         "DATAPLEX_PROJECT": "your-project-id"
       }
@@ -79,4 +79,4 @@ Add the following configuration to your MCP client (e.g., `settings.json` for Ge
 
 ## Documentation
 
-For more information, visit the [Dataplex documentation](https://cloud.google.com/dataplex/docs).
+For more information, visit the [Knowledge Catalog documentation](https://cloud.google.com/dataplex/docs).

docs/en/documentation/connect-to/gemini-cli/_index.md

@@ -36,7 +36,7 @@ Below are a list of Gemini CLI Extensions powered by MCP Toolbox:
 * [cloud-sql-postgresql-observability](https://github.com/gemini-cli-extensions/cloud-sql-postgresql-observability)
 * [cloud-sql-sqlserver](https://github.com/gemini-cli-extensions/cloud-sql-sqlserver)
 * [cloud-sql-sqlserver-observability](https://github.com/gemini-cli-extensions/cloud-sql-sqlserver-observability)
-* [dataplex](https://github.com/gemini-cli-extensions/dataplex)
+* [knowledge-catalog](https://github.com/gemini-cli-extensions/knowledge-catalog)
 * [firestore-native](https://github.com/gemini-cli-extensions/firestore-native)
 * [looker](https://github.com/gemini-cli-extensions/looker)
 * [mcp-toolbox](https://github.com/gemini-cli-extensions/mcp-toolbox)

docs/en/documentation/introduction/_index.md

@@ -72,7 +72,7 @@ Set the appropriate environment variables to connect, see the [Prebuilt Tools Re
 When you run Toolbox with a `--prebuilt=<database>` flag, you instantly get access to standard tools to interact with that database. 
 
 Supported databases currently include:
-- **Google Cloud:** AlloyDB, BigQuery, Cloud SQL (PostgreSQL, MySQL, SQL Server), Spanner, Firestore, Dataplex
+- **Google Cloud:** AlloyDB, BigQuery, Cloud SQL (PostgreSQL, MySQL, SQL Server), Spanner, Firestore, Knowledge Catalog(formerly known as Dataplex)
 - **Other Databases:** PostgreSQL, MySQL, SQL Server, Oracle, MongoDB, Redis, Elasticsearch, CockroachDB, ClickHouse, Couchbase, Neo4j, Snowflake, Trino, and more.
 
 For a full list of available tools and their capabilities across all supported databases, see the [Prebuilt Tools Reference](https://googleapis.github.io/genai-toolbox/reference/prebuilt-tools/).

docs/en/integrations/bigquery/tools/bigquery-search-catalog.md

@@ -8,7 +8,7 @@ description: >
 
 ## About
 
-A `bigquery-search-catalog` tool returns all entries in Dataplex Catalog (e.g.
+A `bigquery-search-catalog` tool returns all entries in Knowledge Catalog (formerly known as Dataplex) (e.g.
 tables, views, models) with system=bigquery that matches given user query.
 
 `bigquery-search-catalog` takes a required `query` parameter based on which
@@ -30,14 +30,14 @@ following parameters:
 ### IAM Permissions
 
 Bigquery uses [Identity and Access Management (IAM)][iam-overview] to control
-user and group access to Dataplex resources. Toolbox will use your
+user and group access to Knowledge Catalog resources. Toolbox will use your
 [Application Default Credentials (ADC)][adc] to authorize and authenticate when
-interacting with [Dataplex][dataplex-docs].
+interacting with [Knowledge Catalog][dataplex-docs].
 
 In addition to [setting the ADC for your server][set-adc], you need to ensure
 the IAM identity has been given the correct IAM permissions for the tasks you
-intend to perform. See [Dataplex Universal Catalog IAM permissions][iam-permissions]
-and [Dataplex Universal Catalog IAM roles][iam-roles] for more information on
+intend to perform. See [Knowledge Catalog IAM permissions][iam-permissions]
+and [Knowledge Catalog IAM roles][iam-roles] for more information on
 applying IAM permissions and roles to an identity.
 
 [iam-overview]: https://cloud.google.com/dataplex/docs/iam-and-access-control