"MCP Servers for Supabase" matching MCP servers:

A reference MCP server that enforces identity-aware tool access using role-based permissions (Reader, Analyst, Auditor) and supports multiple identity routes like Entra RBAC, Copilot Studio, and Okta XAA. It provides read-only access to test evidence with explicit denial paths for unauthorized tools.

Enables coding agents to run Playwright e2e tests, validate Supabase RLS policies with role-based SQL, typecheck TypeScript, execute npm scripts with parsed test output, and validate Next.js builds, all through a structured MCP interface.

Enables AI assistants to query the Google Play Developer Reporting API for Android production stability data, including crash and ANR issue clusters, de-obfuscated stack traces, release track discovery, startup and crash metric trends, version-to-version comparisons, and anomaly alerts. It also provides guided prompts for incident triage, baseline profile verification, and weekly stability reporting with built-in token compression and caching.

Checks the outcome after an agent handoff, when a request, 200 or ack only shows the handoff. Reads one field of one exact public HTTPS JSON record, with a same-site known-good control, for 20-120 s. Returns PROVED, DISPROVED or INCONCLUSIVE with a signed receipt you can verify. 5 free checks, then USD 1 per completed check, by card (Stripe Checkout) or existing Link wallet. INCONCLUSIVE is free.

Zero-sidecar MCP server embedded directly in the Godot 4 editor as a GDScript EditorPlugin — no Node or Python sidecar. Reflection-driven tools over any engine class, validate-before-write GDScript, scene/script/resource authoring, and a runtime play-test loop (play, screenshot, input, assert).

Enables checking npm packages for known security vulnerabilities using the OSV API before installation. Supports both single package checks and bulk vulnerability scanning for multiple packages at once.

Enables automated access to LoadRunner Cloud APIs for retrieving performance test data, managing projects, and collecting test results. Supports integration with AI clients for building performance engineering workflows and dashboards.

An MCP server that automatically generates TypeScript Page Object classes and comprehensive Cypress test suites for any web page, supporting element interactions, workflow tests, and both positive and negative testing scenarios.

A simple server implementing the Model Context Protocol (MCP) that echoes messages back, designed for testing MCP clients.

A testing server that demonstrates Model Context Protocol features, providing access to user data, todos, and system information through resources, tools for user management and calculations, and prompt templates for various analyses.

MCP server for operating and testing Android devices with AI agents. Provides observation and action tools for interactive control and spreadsheet-driven test runs.

A lightweight Python-based microservice that provides simple echo functionality, receiving messages and returning them back to the client for diagnostic and testing purposes within the MCP framework.

Retrieves captured bug context and evidence for coding agents, enabling progressive disclosure of sessions, manifests, and window correlations to diagnose and fix issues.

A TypeScript MCP server delivering a vendored 'dangerous skills' corpus and adversarial fixtures over MCP for security-research testing, supporting SEP-2640 skill delivery with archive-safety hardening.

Bridges AI models with WinDbg to analyze Windows crash dumps and perform remote debugging through natural language queries, enabling execution of debugger commands and automated crash analysis.

Reviews MCP servers for quality, security, and best practices, providing scores and improvement plans.

Enables lightweight Selenium-based browser automation for small local models through compact e1/e2 snapshots, persistent sessions, alert/frame recovery, toast monitoring, and tools for navigation, interaction, waiting, downloads, and auditing.

Minimal MCP server for testing client support for resources/subscribe and notifications/resources/updated, simulating an asynchronous status update.

A test MCP server that exercises all MCP protocol features, including prompts, tools, resources, and sampling, for client builders.

Enables users to query, create, update, and manage Digital.ai Agility assets through MCP tools, with secure Windows Credential Manager authentication and configurable write operations.

Enables AI to programmatically control DS-VLAB circuit testing environment for automated testing.

A minimal MCP server mock for testing, providing echo, debug, and greeting resources to simulate MCP interactions.

MCP server that lets an AI assistant drive a RIGOL DG800 Pro / DG900 Pro arbitrary waveform generator over LAN (raw SCPI on TCP 5555), with tools for setting waveforms, output loads, and reading status.

A Model Context Protocol (MCP) server for automated crash analysis using GDB.

A server implementation of the Model Context Protocol (MCP) for managing development workflow with features like project management, task tracking, and QA review support.

Enables AI to inspect and interact with UI elements, supporting control mode for the runner's own UI and SDK mode for external applications.

Provides 23 Android development tools for Gradle builds, emulator/device lifecycle, APK install/launch, screenshots, logs, ADB and UI Automator automation, along with an android-dev skill for guided workflows.

A comprehensive testing server for validating MCP scanner tools and implementations, providing diverse tools, resources, and prompts that exercise various aspects of the Model Context Protocol specification.

Provides tools for generating fake data using Faker.js, including person, lorem, internet, and more, with support for multiple locales and customizable options.

Provides production-grade starter templates for MCP servers with permission boundaries, integration tests, and eval contracts, enabling rapid development of secure and testable MCP servers.