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

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.

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.

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

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.

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

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.

Enables AI assistants to query point-in-time U.S. public-record data — federal contracts, congressional and insider trades, lobbying, and regulatory publications — along with AI-infrastructure physical data such as data-center sites, permits, backup-generator capacity, and grid demand. Every record is tied to the company and ticker valid on the day it became public, with publication lags applied so results can be joined without look-ahead.

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

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.

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

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.

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.

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.

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

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

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

A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.

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 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.

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.

Enables video editing via YAML/JSON edit specs, with validation and rendering using Remotion.

Grades prediction market trade logs to determine if a strategy has a statistically significant, fee-adjusted edge using out-of-sample holdout, returning a signed verdict.

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