"A query about Google Chrome or a related Chrome topic" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
Evidence-gated task verification for AI agents. Decompose goals into acceptance criteria, attach proof (screenshot, curl, file), independent LLM judge accepts or rejects. 24 tools. Hosted remote MCP (streamable-http, OAuth 2.1 + DCR).
Score any URL against a real design contract — 42 checks, A-F grade, token + motion validation.
Hire a real human for real-world verification, product testing, AI output review, and errands.
Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Point Claude Code, Qwen Code, Cursor, or any MCP client at https://docs.jmeter.ai/api/mcp and your agent answers JMeter questions grounded in this documentation, with a source link for every answer. Free, no API key, no signup.
A skeptical senior-engineer code reviewer over MCP: risk-scans unified diffs, flags AI-generated-code tells, reports complexity hotspots, scans for leaked secrets, and runs an OWASP security pass — real analyzers, no external APIs. Free tier, no signup.
A fully free linter for agent skill files: lint_skill validates YAML frontmatter, structure, size budgets, and safety phrasing with a pass/fail verdict; packaging_check validates zip layout against marketplace rules; plus regex_test, json_validate, diff_texts, and cron_explain for skill authors. No license or account required.
Scan any website or MCP server for agent readiness: 0-100 score, a fix per failing check. Free.
Post-scrape data cleaner, no LLM: repairs mojibake, HTML, invisible chars. Plus a verdict.
Accessibility pre-checks (WCAG/BFSG) in a real browser + statement drafts. Pay per call.
Benchmark-first release surface with a read-only MCP endpoint and operator CLI.
Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.
Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.
みんなのテスター（スキマラボ）公開情報MCP。Google Playクローズドテストのテスター集めを支援する相互テストコミュニティの情報を提供する。
Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
Query Checkly synthetic monitoring — checks, statuses, results, alerts, reporting and dashboards.
A flock of AI users tests your deployed app and reports where real people get stuck, with fixes.
