"Uber" matching MCP servers:

A proof-of-concept Model Context Protocol server that enables LLM applications to interact with Uber Eats, allowing AI agents to browse and order food through natural language.

A proof-of-concept server implementing the Model Context Protocol that enables LLM applications to interact with Uber Eats functionality.

Enables ChatGPT to ask users for decisions or clarification through native question cards with options and free-text input, then continue the task after the user responds.

A multi-modal user intent collection MCP server that allows AI agents to ask users questions and receive text/image replies.

Provides tamper-evident, hash-chained logging for MCP agents, enabling append, verification, and artefact-binding of action records.

A demonstrative MCP server that exposes a query-user tool for retrieving user info by ID, integrated with LangChain for agent-driven model reasoning and tool calls.