mcp.integration.haive_agent_mcp_integration
===========================================

.. py:module:: mcp.integration.haive_agent_mcp_integration

.. autoapi-nested-parse::

   Haive Agent + MCP Tool Integration.

   Demonstrates the complete workflow:
   1. Discover an MCP server/tool
   2. Install and configure it
   3. Create a haive agent that uses the MCP tool
   4. Show the agent executing with the discovered tool



Attributes
----------

.. autoapisummary::

   mcp.integration.haive_agent_mcp_integration.logger


Classes
-------

.. autoapisummary::

   mcp.integration.haive_agent_mcp_integration.HaiveMCPIntegration


Functions
---------

.. autoapisummary::

   mcp.integration.haive_agent_mcp_integration.demo_discovery_to_agent
   mcp.integration.haive_agent_mcp_integration.demo_manual_integration


Module Contents
---------------

.. py:class:: HaiveMCPIntegration

   Integrates discovered MCP tools with Haive agents.


   .. py:method:: create_agent_with_mcp_tool(agent_type: str = 'simple', tool_query: str = 'calculator') -> Any | None
      :async:


      Create a haive agent with a discovered MCP tool.



   .. py:method:: create_mcp_tool(server_name: str, tool_info: dict[str, Any]) -> langchain_core.tools.Tool

      Create a LangChain tool from MCP server info.



   .. py:method:: discover_tool(query: str) -> dict[str, Any] | None
      :async:


      Discover an MCP tool/server by query.



   .. py:method:: install_and_configure(server_name: str) -> bool
      :async:


      Install and configure an MCP server.



   .. py:method:: start_mcp_server(server_name: str) -> bool
      :async:


      Start an MCP server.



   .. py:attribute:: mcp_system


   .. py:attribute:: mcp_tools


   .. py:attribute:: process_manager


.. py:function:: demo_discovery_to_agent()
   :async:


   Demonstrate the complete workflow.


.. py:function:: demo_manual_integration()
   :async:


   Demonstrate manual integration steps.


.. py:data:: logger