"Overview of Proxmox Virtualization Platform" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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).
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
UI Verify is visual regression testing built for coding agents. Connect the MCP server and your agent (Claude Code, Cursor, Codex) pulls a pull request's UI changes into the conversation, views each visual diff, reads the AI judge's verdict of regression vs intended change, and accepts the intended baselines - all over MCP.
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Machine-readable taxonomy of 100+ AI system failure modes spanning factuality, alignment, planning, code generation, and instruction following.
Ensemble testing of web pages for accessibility, usability, and standards conformity
Compare two versions of a JSON row list: what was added, removed or changed, field by field.
Checks the structural integrity of translated resource dictionaries against a source dictionary y...
Evidence-bound second-opinion audit of an agent conclusion against caller-supplied evidence.
MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes
Pre-execution governance for AI agents. Deterministic PASS/FAIL/REVIEW verdicts, replayable proof.
A flock of AI users tests your deployed app and reports where real people get stuck, with fixes.
MCP server for static security analysis of Android source code
Shared app-testing runbook: read the plan, record results per platform, raise and fix issues.
Reusable checklists and dated runs of them: pass, fail, not applicable, and a sign-off.
MCP server for the VerifyAX platform. Enables agent evaluation, simulation testing, and functional/non-functional verification workflows through natural language.
Evaluate, benchmark, and simulate AI agents on the VerifyAX agent-evaluation platform.
Physics-based validation of simulation results: receipts with per-check verdicts, via MCP.
Fact-checks generated content against your sources of truth showing what to trust, change, & verify.
