"Welcome to the Jungle" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Diagnose why an AI agent failed and get the verified fix instantly. Free, no token.
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.
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.
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.
Give AI assistants the context behind client website feedback. Read comments, screenshots, replies, element details, and developer briefs; organize priorities, update statuses, and export feedback from authorized projects. Coding agents with repository access can investigate issues and prepare fixes for review. Connect through Streamable HTTP and browser OAuth using a Simple Commenter account.
Kilotest leverages 10 rule engines to test web pages for front-end quality (accessibility, usability, and standards conformity) and report results with specifiable granularity.
Author and validate Calaf workspace seeds against the app's real importer. No account needed.
Runs your code against a contract; HELD or BROKE at the exact input. Deterministic. 0.10 USDC/call.
What is known to be broken in an MCP server or API operation, with the check that found it.
Seven tools over the tabnas parsing engine: parse, validate, diagnose, fixtures, compare.
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.
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
Probe a signup URL you own and score whether an AI agent can sign up unaided.
Checks the structural integrity of translated resource dictionaries against a source dictionary y...
Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
Tests an AI agent's purchase against the task it was given. Paid per call in USDC via x402.
Defectbird: the site's own MCP server — dataset; every answer cites the site.
Class Q Checker: the site's own MCP server — checker, enquiry (enquiry = a human handoff, not a...
Smoke Control Checker: the site's own MCP server — checker, enquiry (enquiry = a human handoff,...
