"Creating a Search System with Supabase for Documents and User Interaction" matching MCP servers:

MCP server for token-user-system wallet operations, supporting balance, trend, transactions, coupons, and corporate transfer info.

MCP server for Salesforce Interaction Studio that enables listing and managing datasets, campaigns, segments, and performance stats via natural language.

Full-text search and retrieval over official congressional documents (hearings, committee reports, Congressional Record) with citations and govinfo.gov links, designed for grounding AI answers in the official record.

A secure remote MCP server for self-hosted Supabase installations, enabling database schema management, SQL queries, and interaction with local Supabase services like Auth, Storage, and Edge Functions.

Drug-drug interaction checker for clinical LLMs, wrapping RxNorm, openFDA, and DailyMed to provide interaction severity, dose guides, and alternative recommendations.

A production-ready Model Context Protocol server that bridges local document management with cloud synchronization (Notion) for AI agent integration, enabling seamless access and sync of local and cloud documents.

Enables interaction with Supabase databases, including listing tables, querying, inserting, updating, deleting records, and executing RPC functions.

Experimental read-only MCP for Supabase application data: memory_search, memory_get and memory_list_recent under user-bound PostgreSQL RLS. Setup and demo: https://github.com/jryski/Supabase_user_MCP/blob/main/docs/GETTING_STARTED.md . Public preview is POSIX-only and synthetic-only; native Windows, hosted OAuth, one-click installation and writes are not available.

Enables creating storage buckets and uploading media files to Supabase Storage through natural language, with no delete or overwrite capabilities.

Enables LLMs to interact with Supabase services including Database, Auth, Storage, and Edge Functions through the Model Context Protocol. It provides tools for CRUD operations, user management, file storage, and invoking functions.

MCP server for Supabase database and storage operations, enabling querying, inserting, updating, deleting rows, schema introspection, and file storage management.

Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.

A production-ready MCP server providing AI assistants with intelligent Supabase database access, featuring dynamic schema discovery, complete user management, and file storage operations.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

Connect your Supabase projects to Cursor, Claude, Windsurf, and other AI assistants.

Enables minimal interaction with Supabase databases through 4 essential tools for data querying, mutations, file storage, and user authentication. Designed for 70% less context usage than standard implementations with auto-truncated results and simplified parameters.

Connects Supabase projects to AI assistants, enabling them to manage database tables, execute SQL queries, and deploy Edge Functions through natural language. It provides a comprehensive suite of tools for project administration, including logs access, documentation search, and environment configuration.

Enables to perform mathematical calculations, retrieve weather information, and manage files through a standardized MCP interface, showcasing best practices for building MCP servers.

A powerful MCP server for Supabase that provides interactive tools and React widgets for exploring and querying your Supabase database.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.