"Using Supabase in Flutter applications" matching MCP servers:

Goodday‑MCP is a lightweight Model Context Protocol (MCP) server designed to seamlessly integrate with the Goodday project management platform via its API v2. It enables querying of projects, tasks, and users—without altering any data—making it ideal for secure context-aware applications

A Node In Layers package that simplifies creation of MCP (Model-Control-Protocol) servers with tools for defining models, adding CRUD operations, and interacting with clients.

Enables natural language interaction with FastAPI applications through Google's Gemini AI using MCP tools. Provides CRUD operations for user management and application health monitoring through conversational prompts.

Enables agents to interact with the Logflare API by writing JavaScript functions that run in a Vercel Sandbox, using three tools: search, execute_read, and execute_write.

MCP server for reading, writing, and organizing API documentation in Apidog.

Self-healing API proxy MCP that sends REST requests, diagnoses failures using Claude, patches requests, and retries. Successful fixes are remembered for instant reuse.

Point Claude at any API. JitAPI figures out which endpoints to call and in what order — automatically. Register any OpenAPI spec, search endpoints in plain English, and orchestrate multi-step workflows across multiple APIs. No API keys required — works out of the box with local embeddings.

Enables MCP-compatible AI clients to query, search, create, and update YApi API definitions and categories using natural language, with write operations excluding deletion for safety.

Enables LLMs to dereference and query OpenAPI/Swagger specifications, search endpoints and schemas, validate payloads, extract security schemes, and generate production-ready integration code in multiple languages.

Enables AI agents to create, run, and save API requests and collections as local Gud API files, which are git-committable and viewable in VS Code-compatible editors.

Enables AI assistants to search, browse, and generate example payloads from Sage Intacct REST API documentation using OpenAPI specs.

Enables AI coding assistants to discover, inspect, and run API requests in Bruno collections locally, keeping all data private.

Generates comprehensive API test plans (positive, negative, and boundary/edge cases) from endpoint metadata using LLMs, and exports them as Excel files.

MCP server for interacting with a self-hosted Appsmith instance via its REST API, enabling read/update/create of pages, queries, JS objects, widgets, datasources, and applications with lazy session management and destructive-operation gating.

Enables direct integration with YApi API documentation platform in MCP-compatible editors like Cursor, allowing users to query API details, list interfaces, and search endpoints by simply pasting YApi URLs.

Enables AI agents to explore any OpenAPI 3 spec, inspect endpoints and schemas, generate TypeScript types, and make authenticated API calls using credentials mapped to the spec's security schemes.

A Model Context Protocol server that creates tools from API configurations defined in YAML files, allowing easy integration of external APIs into an MCP ecosystem without coding.

A Model Context Protocol (MCP) server that provides seamless integration with the Postman API, enabling AI assistants and applications to interact with Postman workspaces, collections, requests, environments, and folders programmatically.

Enables AI tools to create and manage API requests and collections in Thunder Client, with automated collection and folder creation.

🚀 Active Fork of executeautomation/mcp-playwright This repository is an actively maintained continuation of the original MCP Playwright server: >👉 https://github.com/executeautomation/mcp-playwright A Model Context Protocol server that provides browser automation capabilities using Playwright.