mcp abbr fix

Author: ShashiSubramanya

modules/ROOT/pages/mcp-integration.adoc

@@ -6,7 +6,7 @@
 :page-pageid: mcp-integration
 :page-description: Learn how to use the ThoughtSpot Model Context Protocol (MCP) server to interact with ThoughtSpot data via MCP tools and AI APIs and get relevant questions and answers for a given query and create Liveboards at runtime.
 
-ThoughtSpot’s Agentic Multi-Client Protocol (MCP) Server enables integrating ThoughtSpot analytics directly into any AI agent, custom chatbot, or LLM-based systems and platforms that support MCP. It acts as a connector between the ThoughtSpot instance and external AI client, and provides a set of tools for interacting with ThoughtSpot’s data and its analytics capabilities programmatically.
+ThoughtSpot’s Agentic Model Context Protocol (MCP) Server enables integrating ThoughtSpot analytics directly into any AI agent, custom chatbot, or LLM-based systems and platforms that support MCP. It acts as a connector between the ThoughtSpot instance and external AI client, and provides a set of tools for interacting with ThoughtSpot’s data and its analytics capabilities programmatically.
 
 The MCP tools of the Agentic MCP Server support the following functions:
 

modules/ROOT/pages/spotter-apis.adoc

@@ -68,7 +68,7 @@ The following AI API endpoints allow you to initiate a conversation session with
 __This is a legacy API endpoint and will be deprecated in an upcoming release version__.
 
 === Create a conversation session with Spotter agent
-The `/api/rest/2.0/ai/agent/conversation/create` API endpoint allows you to initiate a new conversation session with ThoughtSpot's AI Agent. Developers and system integrators embedding Spotter into agentic workflows, custom applications, or internal MCP (Managed Content Platform) servers, can use this API endpoint to create a conversation session from different data contexts such as Answers, Liveboards, or Models.
+The `/api/rest/2.0/ai/agent/conversation/create` API endpoint allows you to initiate a new conversation session with ThoughtSpot's AI Agent. Developers and system integrators embedding Spotter into agentic workflows, custom applications, or internal Model Context Protocol (MCP) servers, can use this API endpoint to create a conversation session from different data contexts such as Answers, Liveboards, or Models.
 
 [NOTE]
 ====