"How to Use or Manage Knowledge Base in Feishu" matching MCP connectors:

Simulate, test, and analyze cloud architectures without deploying real infrastructure. Cloud World Model enables AI agents to model cloud environments, evaluate architecture behavior and costs, run failure and chaos simulations, and explore infrastructure scenarios across cloud providers.

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

Check that your AI is being logical. Free tool that mathematically catches contradictions in agent reasoning. No account needed. Also offers paid guardrails that converts natural language to formal verification proofs, that anyone can check succinctly.

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

X-Z-CS AI validation with auditable reasoning. 8 active tools; 5 in maintenance. v0.5.59

Accessibility pre-checks (WCAG/BFSG) in a real browser + statement drafts. Pay per call.

Verifies AI agent work end to end: real artifacts and outcomes checked, not self-reported success.

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.

MCP server for the Fail Modes taxonomy — a knowledge base of AI system failure modes

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.

Pre-commit code quality guardian. Detects semantic drift in AI-generated code.

Validate up to 75,000 URLs per job (status, redirects, response times). OAuth 2.1.

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

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

Rule engine with built-in simulation. 55 MCP tools for complete business rule lifecycle management.

Agentic code review, no signup to try: reality gates + frontier-model review, with veto.