squally-mcp
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to access observability and evaluation data, including run history, span traces, LLM-as-judge evaluation results, and regression reports.MIT

Tesults MCPofficial
AlicenseNot gradedqualityDmaintenanceConnect AI agents to your test results, insights, and targets. Query test runs, failures, flaky tests, and regressions across frameworks including Playwright, Jest, Pytest, Cypress and more.19 npmMIT- AlicenseAqualityAmaintenanceProvides coding agents with visibility into test health through tools for flaky test detection, test quality linting, and LLM evaluation harness, enabling them to triage failures, review test quality, and check prompt changes for regressions.9Apache 2.0
- AlicenseAqualityBmaintenanceProvides coding agents read-only access to Depot's CI failure diagnoses, container build forensics, run history, cache effectiveness, registry contents, and usage data through MCP tools.2860 npm1-
- AlicenseNot gradedqualityCmaintenanceProvides sub-millisecond access to organizational and engineering data by pre-materializing data into a read-only SQLite database. Enables agents to query people, teams, issues, features, and governance documents without upstream latency or auth.2MIT
- AlicenseNot gradedqualityCmaintenanceExposes 11 agent-native QA tools over stdio so coding agents can discover a project, analyze risk, select the smallest relevant test set, generate and dry-run tests, triage failures, propose tiered heals, analyze flakes, generate quality reports, and evaluate release readiness. Planning and healing tools stay read-only or propose-only, while execution defaults to dry-run, keeping agent actions safe and evidence-backed.MIT
TDQS
Scored across 7 tools
Each tool targets a distinct resource and action: project discovery, run search, run detail, failure debugging, single-test status, flaky-test listing, and error-signature aggregation. The descriptions explicitly cross-reference when one tool should be preferred over another, so there is no real ambiguity.
All tools share a consistent 'squally-' prefix and lowercase hyphenated action-object pattern such as list-projects, find-run, get-run, and debug-failure. The verbs are semantically meaningful and consistently used throughout.
Seven tools is a well-scoped size for a CI/test debugging server. Each tool covers a distinct step in the investigation workflow without redundant or bloated additions.
The surface covers the full read-only debugging journey: find a project, locate runs, inspect individual run results, drill into a failing test's attempts, check single-test flakiness, list flaky tests, and aggregate error signatures. There are no obvious dead ends or missing operations for the stated purpose.