"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.

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.

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

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.

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.

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

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 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.

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.

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

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

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.

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

A dynamic service that creates and manages Model Context Protocol (MCP) servers, allowing users to spawn, customize, and control multiple MCP servers as child processes.

Enables AI agents to safely call predefined Supabase stored procedures with schema validation, read-only scope enforcement, trace sanitization, and immutable audit logging, without exposing raw SQL execution.

Enables Claude to fully manage self-hosted Supabase instances, covering authentication, database, storage, edge functions, and more.

Enables comprehensive management of self-hosted Supabase instances on Coolify, including database migrations, edge functions deployment, storage management, auth configuration, and full application lifecycle control through AI agents.

Enables AI assistants to create projects, deploy files, container images, or Git repositories, attach domains, set write-only secrets, add Postgres, read logs, metrics, and failure summaries, and roll back.

Enables control of Microsoft Edge browser via the DevTools protocol, supporting page navigation, screenshots, DOM manipulation, JavaScript execution, and network monitoring.

Connects AI assistants to Supabase projects, enabling them to manage tables, query data, deploy Edge Functions, handle migrations, and access project resources through natural language commands.

A deployment template for running Model Context Protocol servers as Vercel Functions. It provides a foundation for developers to build and host custom tools, prompts, and resources with optimized execution for MCP client integration.

Serverless HomeBox-compatible family asset ledger with MCP tools for creating, searching, updating, archiving assets, and importing/exporting CSV/TSV.

Connects AI assistants to Supabase projects to manage databases, execute SQL queries, and handle project configurations. It enables tasks like table management, edge function deployment, and log retrieval through the Model Context Protocol.

Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.

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

An enhanced dynamic MCP server management service that creates, runs, and manages Model Context Protocol servers with multi-language support and strict parameter validation.

Enables full management of cloud-hosted or no-direct-connection Supabase instances through gateway PostgREST RPC calls, covering SQL execution, schema inspection, RLS/security checks, statistics/logs, Auth users, storage, cron jobs, and Edge Functions. Supports stdio and authenticated HTTP transports with regular and privileged tool tiers.