"Connecting Supabase to Cursor for an AI-Powered Custom Greeting Card Website" matching MCP servers:

Enables secure execution of Python code, SQL queries, and metric fetching through MCP with ephemeral Docker sandboxing.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

An MCP server enabling AI assistants to perform CRUD operations on a Supabase database via a standardized interface.

A minimal MCP server that provides a single 'hello' tool returning a greeting message, deployable on Render.

Converts dense PDFs into soft, minimal, card-based HTML readers with preserved source text, rendered pages, and cropped tables/figures as images, all processed locally.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

Enables scraping of emails, phone numbers, and social profile links from website domains. Supports batch processing of up to 20 domains and can find company websites by keyword/company name.

Implements the Chico & Dico card magic trick by encoding a hidden fifth card within the specific arrangement of four cards. It provides tools to both encode five-card sets into sequences and decode those sequences to reveal the hidden card.

MCP server that launches Mesen/MesenCE headlessly and exposes the emulator's debugger-face Lua API over MCP JSON-RPC, enabling AI agents to load ROMs, step frames, inspect memory/registers, manage breakpoints/watches, trace execution, and export Code/Data Logger maps for SNES, NES, PC Engine, and Game Boy Advance.

Provides secure access to Supabase databases via PostgREST API and management tools for projects, schemas, branches, logs, and code generation.

Enables Cursor and Windsurf to safely interact with Supabase databases by providing tools for database management, SQL query execution, and Supabase Management API access with built-in safety controls.

An agentic Retrieval-Augmented Generation (RAG) system that combines a small curated machine learning knowledge base with real-time web search capabilities, powered by the Model Context Protocol (MCP).

Enables safe, AI-driven CATIA V5 modeling through 36 guarded tools for creating and inspecting parametric CATParts, including sketch, part design, GSD/surface, and transaction operations, while preventing mutation of existing documents.

Enables AI assistants to interact with Supabase databases through standardized CRUD operations including querying, inserting, updating, and deleting records with support for filtering, pagination, and column selection.

A Model Context Protocol server that enables AI tools to interact with Supabase databases, providing tools for reading, creating, updating, and deleting records in Supabase tables.

Enables AI assistants to recommend jobs, parse candidate profiles, compute semantic skill match scores, and filter opportunities by location through standardized MCP tools.

An MCP server for interacting with an HR database, enabling querying employee data and HR operations via natural language.

A lightweight MCP server implementation that provides a simple tool for fetching website content, demonstrating how tools can be exposed and interacted with using the MCP protocol.

Business Card Watchdog is an installable, user-scoped service for processing large batches of business card images from watched folders. It exposes CLI, API, MCP, and watched-folder surfaces for deterministic orchestration and routing to Google Contacts or Odoo.