"Methods for breaking down and thinking systematically about questions" matching MCP connectors:
GET /v1/connectors — MCP directory API referenceMatching Connector Tools:
Verify before your agent acts on data it paid for. Signed verdicts, checkable offline, via x402.
Conformance checker for MCP servers. Free, no key, verdicts recomputable and re-measured daily.
Accessibility and WCAG data for your own websites: fix lists, live checks, and fix validation.
Author and validate Calaf workspace seeds against the app's real importer. No account needed.
Generate synthetic random user data for testing, demos, and development without using real persona.
Simulate, test, and analyze cloud architectures without deploying real infrastructure. Cloud World Model enables AI agents to model cloud environments, evaluate architecture behavior and costs, run failure and chaos simulations, and explore infrastructure scenarios across cloud providers.
Moderated usability testing: read sessions, notes, transcripts, reports, and draft test scenarios.
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).
Free platform to test MCP clients without installing anything. Create mock tools with dynamic templates, configurable delays, conditions (if/then), and response sequences. Supports JSON-RPC 2.0 over Streamable HTTP. Built-in text_echo and json_echo tools. Rate-limited tiers: anonymous (5 calls/min, 1 mock tool), registered (10 calls/min, 4 mock tools), premium (60 calls/min, unlimited). Zero setup — no install, no registration required. More info: https://www.testmcp.dev
Hire a real human for real-world verification, product testing, AI output review, and errands.
Scan GitHub-hosted AI skills for vulnerabilities: prompt injection, malware, OWASP LLM Top 10.
Analyze, audit, fix and diff HTML, MJML, Maizzle and React Email across 21 email clients.
Testing, benchmarking and auditing autonomous AI agents — methods, harnesses, evidence
Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.
Validate OpenRTB bid requests and responses against IAB specs. ARTF, Rust core.
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.
Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.
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.
Regex matching, email/URL format validation, and JSON Schema validation.
