"Information on the Theory of Evolution" matching MCP connectors:

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).

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

Hosted MCP server for structured code review passes on human- and AI-written code. Free tier.

AgentReady.market audit: can an AI shopping agent find, understand and BUY on this store? /100.

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.

Pay-per-call MCP server. Vetted human experts review AI-generated content (text, images, video, audio, social posts), audit reasoning chains, run prepublish safety checks, and gate high-stakes actions for human approval. 7 paid tools at $1.00 each plus 4 free tools (list_offerings, list_expert_profiles, get_result, verify_certificate). Payment via x402, USDC on Base mainnet. Approved outputs receive an on-chain Taste content certificate downstream agents verify before consuming.

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.

Evaluates UI designs for WCAG accessibility issues automated scanners miss. Paid via x402 on Base.

MCP server for static security analysis of Android source code

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.