> ## Documentation Index
> Fetch the complete documentation index at: https://docs.tight.com/llms.txt
> Use this file to discover all available pages before exploring further.

# End User Support

> Support end-user inquiries in your platform using the Tight Model Context Protocol (MCP) server

## Overview

Tight End User Support MCP tools enable AI assistants and agents to search knowledge base and support content,
contextualized with the user's data.

## Available Tools

### Search Tight End User Support

The `search_tight_end_user_support` tool searches across
[Tight's full knowledge base and support content](/guides/get-started/launch-checklist/ai-support#knowledge-base). Use
this tool to handle user support inquires and to understand how to accomplish product use cases.

### Search Tight Bookkeeper Support

The `search_tight_bookkeeper_support` tool similarly searches across Tight's full knowledge base and support content
with a focus on bookkeeper-facing features, e.g. [Team Management](/guides/bookkeepers/team-management).

## Integrating into existing AI support

Many AI support agents support adding MCP tools via custom connectors, e.g.
[Intercom's Fin](https://www.intercom.com/help/en/articles/11461635-add-mcp-connectors-for-popular-apps-or-custom-mcps).
Adding the Tight MCP `search_tight_end_user_support` tool to your AI support agent will enable it to handle your user's
accounting support inquiries.