Supabase

Supabase MCP Server

Official Remote

Connect Supabase projects directly with AI assistants using the Model Context Protocol (MCP). This server standardizes communication between Large Language Models and Supabase, enabling AI to manage tables, query data, and interact with project features like edge functions, storage, and branching. Customize access with read-only or project-scoped modes and select specific tool groups to fit your needs. Integrated tools cover account management, documentation search, database operations, debugging, and more, empowering AI to assist with development, monitoring, and deployment tasks in your Supabase environment efficiently and securely.

DBHub (Universal Database Gateway)

Official

Provides a universal database gateway for connecting to PostgreSQL, MySQL, SQLite, and DuckDB, enabling table browsing, schema inspection, and read-only SQL queries with built-in safety checks

Enables direct SQL query execution and database connections to MySQL databases through a simple interface that returns results in JSON format.

Svelte

Official Remote

Official Svelte documentation access and code analysis server that provides up-to-date reference material, playground link generation, and intelligent autofixer capabilities for detecting common patterns, anti-patterns, and migration opportunities in Svelte 5 and SvelteKit projects.

Provides read-only access to PostgreSQL databases with enhanced multi-schema support, enabling schema inspection, query execution, and isolation across multiple namespaces.

Connects to Odoo ERP systems via XML-RPC to enable searching, reading, creating, updating, and deleting business records with smart field optimization and comprehensive access controls for business process automation and data analysis workflows.

Integrates with AWS SDK to execute SQL queries against Athena databases, enabling large-scale data analysis and business intelligence for AWS data lakes.

Provides a bridge to PostgreSQL databases for executing SQL queries, managing tables, and inspecting schemas with support for prepared statements and multiple parameter styles

Integrates with Neo4j graph databases to enable natural language querying, node creation, and complex graph operations for knowledge exploration and data relationship modeling.

Connects to InfluxDB time-series databases for querying measurements, writing data, and managing buckets through a bridge that exposes database functionality via tools and resources.