"Guidance on operating Linux and installing services" matching MCP connectors:

Workflow planning, recovery checkpoints, coordination, fixtures, and compatibility tools for agents.

Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.

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

Design-system contract verification, scoring, and review tools for AI agents.

A webhook inbox for agents: one call returns a live URL. Mock, verify, inspect and replay.

Give AI coding agents access to your Vynix visual feedback, bug reports, and AI diagnosis.

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

Read-only, deterministic AI triage and readiness tools implementing Sophon's published rubrics.

Voice-powered bug reporting with 13 MCP tools. Record bugs by talking; let AI find and fix them.

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

Hire a real human for real-world verification, product testing, AI output review, and errands.

Promotion gate for AI agents: leakage audits, exact-statistics verdicts, and a live report card.

One-cent x402 and MCP readiness checks plus fixed-price marketplace launch packs.

Query Checkly synthetic monitoring — checks, statuses, results, alerts, reporting and dashboards.

Generate deterministic placeholder image URLs and packs for docs, staging, testing, and AI agents.

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

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.

Scan URLs for WCAG 2.1 violations, generate AI fixes, and produce VPAT 2.5 compliance reports.

MCP-native AI evaluation: rubric audits, eval suites, and proof reports for AI/LLM output.