crewai

docs/use-cases/AI_ML/MCP/ai_agent_libraries/agno.md

@@ -33,9 +33,9 @@ You can run the following steps either from your Python REPL or via script.
 Install the Agno library by running the following commands:
 
 ```python
-!pip install -q --upgrade pip
-!pip install -q agno
-!pip install -q ipywidgets
+pip install -q --upgrade pip
+pip install -q agno
+pip install -q ipywidgets
 ```
 
 ## Setup credentials {#setup-credentials}
@@ -53,7 +53,7 @@ Enter Anthropic API Key: ········
 
 :::note Using another LLM provider
 If you don't have an Anthropic API key, and want to use another LLM provider,
-you can find the instructions for setting up your credentials in the [DSPy docs](https://dspy.ai/#__tabbed_1_1)
+you can find the instructions for setting up your credentials in the [Agno docs](https://docs.agno.com/concepts/models/introduction)
 :::
 
 Next, define the credentials needed to connect to the ClickHouse SQL playground:

docs/use-cases/AI_ML/MCP/ai_agent_libraries/claude-agent-sdk.md

@@ -33,9 +33,9 @@ You can run the following steps either from your Python REPL or via script.
 Install the Claude Agent SDK library by running the following commands:
 
 ```python
-!pip install -q --upgrade pip
-!pip install -q claude-agent-sdk
-!pip install -q ipywidgets
+pip install -q --upgrade pip
+pip install -q claude-agent-sdk
+pip install -q ipywidgets
 ```
 
 ## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/dspy.md

@@ -34,9 +34,9 @@ This example can be found as a notebook in the [examples repository](https://git
 Run the following commands using `pip` to install the required libraries:
 
 ```shell
-!pip install -q --upgrade pip
-!pip install -q dspy
-!pip install -q mcp
+pip install -q --upgrade pip
+pip install -q dspy
+pip install -q mcp
 ```
 
 ## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/index.md

@@ -20,8 +20,11 @@ doc_type: 'guide'
 | [How to build a SlackBot agent using ClickHouse MCP Server.](/use-cases/AI/MCP/ai-agent-libraries/slackbot) | Learn how to build a SlackBot agent that can interact with ClickHouse MCP Server. |
 | [How to build an AI Agent with Agno and the ClickHouse MCP Server](/use-cases/AI/MCP/ai-agent-libraries/agno) | Learn how build an AI Agent with Agno and the ClickHouse MCP Server |
 | [How to build an AI Agent with Chainlit and the ClickHouse MCP Server](/use-cases/AI/MCP/ai-agent-libraries/chainlit) | Learn how to use Chainlit to build LLM-based chat apps together with the ClickHouse MCP Server |
+| [How to build an AI Agent with Claude Agent SDK and the ClickHouse MCP Server](/use-cases/AI/MCP/ai-agent-libraries/claude-agent-sdk) | Learn how build an AI Agent with Claude Agent SDK and the ClickHouse MCP Server |
 | [How to build an AI Agent with CopilotKit and the ClickHouse MCP Server](/use-cases/AI/MCP/ai-agent-libraries/copilotkit) | Learn how to build an agentic application using data stored in ClickHouse with ClickHouse MCP and CopilotKit |
+| [How to build an AI Agent with CrewAI and the ClickHouse MCP Server](/use-cases/AI/MCP/ai-agent-libraries/crewai) | Learn how build an AI Agent with CrewAI and the ClickHouse MCP Server |
 | [How to build an AI Agent with DSPy and the ClickHouse MCP Server](/use-cases/AI/MCP/ai-agent-libraries/DSPy) | Learn how to build an AI agent with DSPy and the ClickHouse MCP Server |
+| [How to build an AI Agent with Microsoft Agent Framework and the ClickHouse MCP Server](/use-cases/AI/MCP/ai-agent-libraries/microsoft-agent-framework) | Learn how build an AI Agent with Microsoft Agent Framework and the ClickHouse MCP Server |
 | [How to build an OpenAI agent using ClickHouse MCP Server.](/use-cases/AI/MCP/ai-agent-libraries/openai-agents) | Learn how to build an OpenAI agent that can interact with ClickHouse MCP Server. |
 <!--AUTOGENERATED_END-->
 

docs/use-cases/AI_ML/MCP/ai_agent_libraries/langchain.md

@@ -33,10 +33,8 @@ You can run the following steps either from your Python REPL or via script.
 Install the required libraries by running the following commands:
 
 ```python
-!pip install -q --upgrade pip
-!pip install -q langchain-mcp-adapters
-!pip install -q langgraph
-!pip install -q "langchain[anthropic]"
+pip install -q --upgrade pip
+pip install -q langchain-mcp-adapters langgraph "langchain[anthropic]"
 ```
 
 ## Setup credentials {#setup-credentials}

docs/use-cases/AI_ML/MCP/ai_agent_libraries/llamaindex.md

@@ -33,11 +33,8 @@ You can run the following steps either from your Python REPL or via script.
 Install the required libraries by running the following commands:
 
 ```python
-!pip install -q --upgrade pip
-!pip install -q llama-index
-!pip install -q clickhouse-connect
-!pip install -q llama-index-llms-anthropic
-!pip install -q llama-index-tools-mcp
+pip install -q --upgrade pip
+pip install -q llama-index clickhouse-connect llama-index-llms-anthropic llama-index-tools-mcp
 ```
 
 ## Setup credentials {#setup-credentials}