"Exploring the term 'Make' or related resources" matching MCP connectors:

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).

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

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.

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.

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

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

MCP Spec Compliance MCP — audits any MCP server.json against the official Model Context Protocol