"How to create and edit edge functions on Supabase" matching MCP servers:

A local agent that monitors your system clipboard, automatically uploads copied images to Supabase Storage, and replaces the clipboard content with the public URL for immediate sharing.

A CLI tool that sets up a Model Control Protocol server and deploys it to Cloudflare Workers, allowing you to quickly create custom tools for your Cursor Agent just by writing TypeScript functions.

An MCP server that provides tools for interacting with Supabase databases, storage, and edge functions.

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

Provides AI assistants with real-time prediction market consensus data, including probabilities, opportunities, signals, and settlements.

Scaffold and audit Starter Series projects — MCP server, Claude Code skill, and CLI in one package.

We all edit, including LLMs. Now using any MCP compatible client your can embed 'Microsoft's Edit CLI' in your chat workflow.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

PT-Edge gives AI assistants live intelligence on the AI ecosystem — 47 tools to search 11K+ GitHub repos, 18K+ HuggingFace models, 42K+ datasets, and 2,500+ public APIs, plus trend analysis, project comparison, and community discourse tracking across Hacker News and V2EX.

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.

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

MCP server to manage and deploy Scaleway Serverless Functions, enabling creation, listing, updating, deleting, downloading, and logging of functions through natural language.

MCP tools for managing your self-hosted Supabase instance. Combines Edge Function CRUD, migration management, log monitoring, and Studio MCP proxy into a single endpoint.

Enables cloud LLM agents to discover and invoke physical hardware on edge and IoT devices through standard MCP tools, bridging constrained device channels like UART, BLE, and Wi-Fi.

Enables natural-language management of your cloud database backend, including running SQL, applying migrations, managing tables, storage, edge functions, and branches, plus searching documentation. Connects via one-click magic-link without keys or tokens.

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

Enables external AI agents to operate on the live PDF session open in the browser, reading documents, locating text, applying edits like text replacement and redaction, rendering pages, and undoing batches. Changes appear in the open tab within seconds through a shared tool surface.

MCP server for Supabase, enabling database CRUD, storage management, auth administration, project management, edge functions, and secrets via 31 tools.

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

Enables direct Postgres queries, storage management, user authentication, edge function invocation, and project administration through 24 grouped tools.

A deployable MCP server for Cloudflare Workers or Azure Functions that provides example tools (time, echo, math), prompt templates for code assistance, and configuration resources. Enables AI assistants to interact with edge-deployed services through the Model Context Protocol.

A Model Context Protocol server that exposes Microsoft Edge browsing history across multiple profiles, allowing listing profiles and fetching history for a given day.

MCP server for generating images using Gemini, supporting multiple aspect ratios and both AI Studio and Vertex AI backends.

Enables asynchronous Microsoft Edge text-to-speech synthesis over MCP stdio, producing MP3 or OGG/Opus audio with optional SRT/WebVTT subtitles and word-timing JSON, plus Docker deployment support.

Enables AI agents to search and list Microsoft Edge browser favorites by keyword, folder, or list all folders.

An MCP server that generates and edits images using OpenAI's GPT Image model, allowing users to create images from text descriptions and edit existing images through natural language.

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

Read, create, and modify Figma designs programmatically via MCP, empowering AI to execute Figma changes safer, cleaner, and faster.

Enables MCP clients to drive a running Microsoft Edge browser over the Chrome DevTools Protocol, exposing 16 tools for navigation, clicking, typing, screenshots, page-content reading, and tab management. Runs in stdio mode for per-client processes or as a shared HTTP endpoint so multiple agents can operate the same browser session.

Enables assistants to check ffmpeg/ffprobe availability and probe local video files, with local editing features such as cutting, captions, reframing, audio mixing, and rendering on the roadmap.