This MCP server implementation provides a bridge to Uber Eats, enabling AI assistants to search for restaurants, find menu options, and place food orders. Built using Python and the FastMCP framework, it leverages browser automation to interact with the Uber Eats website. The server offers asynchronous operations for searching and ordering, making it suitable for use cases requiring food delivery integration within AI-assisted applications.
Cognium trust score
100%
Tier
Verified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-19.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.