"Supabase (open source Firebase alternative)" matching MCP servers:

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

Turns an OpenAPI specification into a broker-published slot of curated, LLM-ready tools that a human operator reviews, tests, and approves before anything goes live. The resulting tools are declarative and run under the broker's authorization, audit, execution limits, and secret handling.

Low-code MCP middleware development using microservices architecture for scalable and automated MCP server functionality.

MCP server for lolzteam/lzt.market ecosystem providing 29 tools for raw API requests, flow scenario management, event subscriptions, and API introspection.

A bridge that converts HTTP APIs into MCP tools with dynamic toolkit loading, flexible authentication, and automatic documentation.

Enables AI assistants to query API documentation from Eolink Apikit instances via the Eolink Open API, supporting listing projects, groups, searching APIs by keyword/path, and retrieving detailed API definitions.

API documentation drifts away from the running service, so consumers integrate against a contract nobody keeps. Routebase keeps API design, testing, mocking and documentation on one living source of truth, and this MCP server lets AI agents work in that workspace under the permissions of the connected account.

An MCP server that integrates the Neople Cyphers Open API with AI assistants for searching players, match histories, and rankings. It provides tools for retrieving character info, game items, and real-time statistics directly through natural language.

Provides full access to the Etsy Open API v3 for both buyer browsing and seller shop management through 37 specialized tools. It enables users to manage listings, process orders, handle shipping, and access inventory data via secure OAuth 2.0 authentication.

Provides basic diagnostic and information tools for Apifox API management platform, including token validation, project access checks, and explanations of API limitations due to Apifox's restricted Open API.

Enables AI agents and MCP clients to dynamically add, update, and remove Mock Service Worker network mocks via MCP tools, including live handler updates without restarting the application source code.

Enables AI coding assistants to inspect OpenAPI specs, fuzz live REST endpoints with boundary and adversarial vectors, replay failing anomalies deterministically without AI tokens, and scaffold OpenAPI specs from source routes.

Enables AI agents to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, without restarting the application source code.

MCP Portico is an MCP server that turns OpenAPI descriptions or inspected backend source code into policy-controlled MCP connections, exposing multiple backend systems with tenant isolation and credential security.

Analyzes API requirements and source code, evaluates existing Postman test coverage, and generates or updates test automation with an optional draft pull request on GitHub.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network mocks through MCP tools, including scaffolding project setup. Changes take effect in the running browser app without restarting the application source code.

Enables AI assistants to dynamically add, update, and remove Mock Service Worker network handlers in a running browser app through a WebSocket bridge, without touching application source code or reloading the page. It also provides a setup prompt to scaffold the MSW and client integration in a project.

An MCP protocol server that provides access to supOS open APIs, allowing MCP-compatible clients to query topic tree structures and details.

A Model Context Protocol server that provides tools for introspecting and analyzing FastAPI applications, including route discovery, model schema extraction, and source code viewing. It enables users to explore API structures, generate documentation, and debug dependency injection hierarchies through natural language.

Enables AI assistants to interact with the Onboarded platform through automatic API discovery and execution, with entity memory persistence and optional source code access from local repositories.