Integrate: Implement changes suggested by CodeRabbit

Author: amotl

docs/connect/mcp/index.md

@@ -1,3 +1,5 @@
+(mcp)=
+(connect-mcp)=
 # Model Context Protocol (MCP)
 
 ```{toctree}
@@ -17,7 +19,7 @@ integration between LLM applications and external data sources and tools.
 MCP is sometimes described as "OpenAPI for LLMs" or as "USB-C port for AI",
 providing a uniform way to connect LLMs to resources they can use.
 
-The main entities of MCP are [prompts], [resources], and [tools].
+The main entities of MCP are [Prompts], [Resources], and [Tools].
 MCP clients call MCP servers, either by invoking them as a subprocess and
 communicating via Standard Input/Output (stdio), Server-Sent Events (sse),
 or HTTP Streams (streamable-http), see [transports].
@@ -63,7 +65,6 @@ To get in touch with us to discuss CrateDB and MCP, please head over to
 the CrateDB community forum at [Introducing the CrateDB MCP Server].
 
 
-[Community Forum]: https://community.cratedb.com/
 [CrateDB]: https://cratedb.com/database
 [CrateDB Cloud]: https://cratedb.com/docs/cloud/
 [Introducing the CrateDB MCP Server]: https://community.cratedb.com/t/introducing-the-cratedb-mcp-server/2043

docs/integrate/influxdb/learn.md

@@ -1,3 +1,4 @@
+(influxdb-learn)=
 (import-influxdb)=
 # Import data from InfluxDB
 
@@ -46,7 +47,7 @@ data in schemas and tables.
 - A **field** is similar to an un-indexed column in an SQL database.
 - A **point** is similar to an SQL row.
 
--- [via][What are series and bucket in InfluxDB]
+> via: [What are series and bucket in InfluxDB]
 
 ## Tutorial
 

docs/integrate/mongodb/index.md

@@ -39,7 +39,7 @@ and [MongoDB Change Streams], to relay CDC events from MongoDB into CrateDB (`cd
 *   - [MongoDB CDC Relay]
     - ✅
     - ✅
-    - CLI `ctk load table` for streaming changes of collections into CrateDB (`full-load`).
+    - CLI `ctk load table` for streaming changes of collections into CrateDB (`cdc`).
 *   - {ref}`MongoDB CDC integration <cloud:integrations-mongo-cdc>`
     - ❌
     - ✅

docs/integrate/mongodb/learn.md

@@ -2,6 +2,7 @@
 (migrating-mongodb)=
 (integrate-mongodb-quickstart)=
 (import-mongodb)=
+(mongodb-learn)=
 
 # Import data from MongoDB
 

docs/integrate/mysql/index.md

@@ -11,7 +11,7 @@
 ```{div}
 :style: "float: right; margin-left: 1em"
 
-[![mysql-logo](https://labs.mysql.com/common/logos/mysql-logo.svg?v2){w=180px}](https://www.mysql.com/)
+[![mysql-logo](https://www.mysql.com/common/logos/powered-by-mysql-167x86.png){w=180px}](https://www.mysql.com/)
 <br><br>
 [![mariadb-logo](https://mariadb.com/wp-content/themes/mariadb-2025/public/images/logo-dark.4482a1.svg){w=180px}](https://www.mariadb.com/)
 ```

docs/integrate/streamsets/index.md

@@ -4,14 +4,13 @@
 :::{rubric} About
 :::
 
-The [StreamSets Data Collector] is a lightweight and powerful engine that
-allows you to build streaming, batch and change-data-capture (CDC) pipelines
-that can ingest and transform data from a variety of sources.
+The [StreamSets Data Collector] is a lightweight, powerful engine for building
+streaming, batch, and change data capture (CDC) pipelines that ingest and transform
+data from various sources.
 
-StreamSets Data Collector Engine makes it easy to run data pipelines from Kafka,
-Oracle, Salesforce, JDBC, Hive, and more to Snowflake, Databricks, S3, ADLS, Kafka
-and more. Data Collector Engine runs on-premises or in any cloud, wherever your data
-lives.
+Use it to run pipelines from sources such as Kafka, Oracle, Salesforce, JDBC, and Hive
+to destinations including Snowflake, Databricks, Amazon S3, and Azure Data Lake Storage (ADLS).
+It runs on‑premises or in any cloud.
 
 :::{rubric} Learn
 :::