"Understanding the word 'process' or its usage" matching MCP connectors:

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).

Verify scraped data against the live source page. Signed verdicts, $0.01 via x402.

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.

Rule-based site audits: accessibility, SEO, security headers, performance. Metered per call.

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.

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

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.

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

MCP server providing access to the Scorecard API to evaluate and optimize LLM systems.

Estimated game fps for any GPU or Apple Silicon chip, with the limiter and tweaks.

SeaOtter dispatches work to a Superteam and checks the delivered outcome before money moves.

Check AI work against requirements and return structured verdicts, findings, and repair steps.

Run, debug, and triage tests via natural language across HyperExecute, Automation, SmartUI, and Accessibility on the TestMu AI cloud.

Evaluate, benchmark, and simulate AI agents on the VerifyAX agent-evaluation platform.