blop
Related Servers
Alternatives to blop
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityAmaintenanceEnables users to run synthetic support-agent evaluations, preserve and inspect traces, score results deterministically, inject failures, and enforce release review gates through MCP tools, resources, and prompts.MIT

QAJev MCP Serverofficial
AlicenseNot gradedqualityAmaintenanceEnables AI agents to crawl websites, run plain-language goal-based checks, read reports and screenshots, and follow or stop runs through MCP.2MIT- AlicenseNot gradedqualityAmaintenanceEnables AI builders to approve requirements, replay browser checks, and return regression evidence through MCP, supporting acceptance testing without code modification.MIT
- FlicenseAqualityDmaintenanceAutomated Playwright E2E test repair powered by a self-improving, governed MCP server that runs failing tests, collects failure artifacts, reasons about root causes, validates and applies fixes, and re-runs to verify.12-

AgentsGateofficial
AlicenseNot gradedqualityAmaintenanceEnables AI agents to securely call MCP tools with risk scoring, checkpoints, rollback, and approval workflows.17 npmMIT- AlicenseBqualityCmaintenanceAn authorization-first MCP-governed control plane for executing security-tool workflows in explicitly approved, sandboxed environments with auditable campaigns and AI collaboration boundaries.61MIT
TDQS
Scored across 28 tools
Most tools have clear, distinct purposes, but there is some overlap between record_test_flow and evaluate_web_task (both use a browser agent) and between save_auth_profile and capture_auth_session (both deal with auth profiles). The descriptions help clarify, but a few tools could still be confused.
All tool names follow a consistent snake_case verb_noun pattern (e.g., record_test_flow, run_release_check, get_release_context). Even longer names like package_authenticated_saas_baseline maintain the convention, making the set predictable.
With 28 tools, the server exceeds the 25+ threshold for 'too many' per the calibration. While the broad QA/release scope justifies some density, the count feels heavy and could overwhelm agents without a clear need for this many distinct operations.
The tool surface covers the core QA workflow well: recording flows, running releases, getting results, debugging, and gaining insights. Minor gaps exist, such as no explicit update/delete for flows or auth profiles and no direct list of all flows, but these are workable via existing tools.