Identify unused, duplicate, and overlapping PostgreSQL indexes to reduce storage space and improve database performance by removing unnecessary indexes.
Monitor active PostgreSQL queries to identify long-running operations, detect lock contention, and troubleshoot stuck transactions for database performance optimization.
Analyze PostgreSQL query workload to identify performance bottlenecks and generate optimized index recommendations that improve database query execution speed.
Identify and analyze slow PostgreSQL queries using pg_stat_statements to optimize database performance by revealing execution times, call frequency, and cache efficiency metrics.
Analyze PostgreSQL table statistics to identify maintenance needs and performance issues. Get table sizes, row counts, scan ratios, and vacuum history to optimize database performance.
An MCP server that enables AI assistants to book and manage Uber rides, including getting price estimates, requesting rides, checking ride status, and canceling rides.
Enables AI assistants to interact with the Uber API for ride management, including requesting rides, obtaining price and time estimates, and tracking active trip status. It supports comprehensive journey features such as viewing ride history, cancelling requests, and rating drivers through a secure OAuth 2.0 integration.
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.