"Definition or Uses of the Term 'Vertex'" matching MCP connectors:

Ask about the accessibility of websites in your own Inclusify account: what is failing, where it lives in your source, and whether the fix you just wrote actually works. Reads real scan data for your sites rather than giving generic WCAG advice, and can check a live page for keyboard traps, screen-reader reading order, forced colours and 400% zoom. OAuth sign-in, no API key to paste. Requires an Inclusify account.

Author and validate Calaf workspace seeds against the app's real importer. No account needed.

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).

Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.

Seven tools over the tabnas parsing engine: parse, validate, diagnose, fixtures, compare.

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 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.

Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.

Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.

Runs your code against a contract; returns HELD or BROKE at the exact input. Deterministic.

Read-only MCP server for the OPERANT AI operating-agent calibration benchmark.

Machine-readable taxonomy of 100+ AI system failure modes spanning factuality, alignment, planning, code generation, and instruction following.

Test the voice agents you run: scored transcripts, pass/fail verdicts, latency and WER metrics.

MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes

A flock of AI users tests your deployed app and reports where real people get stuck, with fixes.

PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.

The world's first named AI prompt quality score. Score, optimize, and compare LLM prompts before they hit any model. Free tier available. Built on PEEM, RAGAS, G-Eval, and MT-Bench frameworks. x402-native on Base.

MCP server for static security analysis of Android source code

End-to-end API testing — generate and run tests from OpenAPI, curl, Postman, or real user traffic.