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

Enables converting webpages into structured JSON using CSS-selector schemas, with anti-bot handling and support for protected pages.

Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.

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

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

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.

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

This server enables interaction with Supabase PostgreSQL databases through the MCP protocol, allowing seamless integration with Cursor and Windsurf IDEs for secure and validated database management.

An MCP server that provides deep schema introspection for Supabase/Postgres, exposing tables, columns, views, enums, RLS policies, functions, and more.

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.

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.

Enables CRUD operations on Supabase structured data through PostgREST tools without exposing arbitrary SQL. Access can be constrained to specific tables via an allowed-tables setting.

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.

Manages Supabase projects, databases, edge functions, secrets, and branches across organizations using the Supabase Management API with 24 tools.

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.

Enables secure interaction with Supabase databases via the PostgREST API, supporting full CRUD operations and stored procedure calls. It utilizes the Dedalus MCP framework to provide encrypted credential handling and just-in-time token exchange.

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.

Starter kit for small businesses: A2A agent card, MCP server card, minimal example MCP server (tools: leistungen, anfrage_anlegen) and validator. Python standard library only, MIT, docs in English and German.

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.

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.

Implements the Model Context Protocol to provide LLMs with tools for interacting with Supabase databases, supporting operations like reading, creating, updating, and deleting records with filtering and pagination capabilities.

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.

Scoped, low-latency persistent memory layer for AI agents, Cursor, and Claude Code over Model Context Protocol with sub-50ms hybrid search.