Concierge AI MCP Server

Example Use Cases

• 1

  Progressive disclosure of tools to reduce confusion and cost.

• 2

  Enforced tool ordering to follow defined business workflows.

• 3

  Share state across workflow steps without re-injecting data.

Description

Concierge AI is a Model Context Protocol (MCP) server that dynamically manages tool visibility based on workflow stages, ensuring agents only see relevant tools at each step. It supports shared session state, enforced tool ordering, semantic search for large APIs, and multiple transport protocols including HTTP and stdio. This results in more reliable, deterministic AI tool invocation and streamlined agent workflows without requiring prompt engineering.