"A map or mapping-related information" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Snapback tells an AI agent WHY it failed and gives the verified fix instantly. Its curated library returns known fixes with no LLM call, in sub-150ms, free — and falls back to LLM-assisted diagnosis only when the library has no match, so the fast, free path handles the common cases and nothing goes unanswered. It covers 46 infrastructure-error families most agent tools ignore: Kubernetes, Redis, Elasticsearch, serverless (Lambda), Stripe (declines, SCA/3DS), GraphQL cost-throttling, Terraform state-lock, payments (ACH, x402), on-chain (Solana, EVM), OAuth, DNS/TLS, message queues, and more — the non-obvious fix a base model gets wrong (e.g. "Redis OOM isn't a container crash, it's your maxmemory policy"). Gate it for autonomous self-heal: it auto-applies reversible, high-confidence fixes (retry/refetch/config ≥0.85) and escalates state-changing ones to a human — even at high confidence. Also catches loops, step/token/context-limit burn, and wrong output mid-run. Free library diagnosis, no token. Metered/LLM-assisted tools pay-per-call via x402 on Solana or EVM — no account. 23 tools, MCP Streamable HTTP. Install: pip install snapback-selfheal, the ClawHub skill, or connect the MCP server directly.
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).
A webhook inbox for agents: one call returns a live URL. Mock, verify, inspect and replay.
Parse WebVTT, SRT, or TTML for conformance, timing, overlaps, line length, and reading speed.
Drive real Android & iOS devices and web browsers from natural language for mobile + web QA. 290+ tools across device control, app management, automation sessions, browser automation, and flow recording / replay. Bearer-auth — get a token at robotactions.com → Profile → API Tokens.
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.
Load testing and synthetic monitoring platform: test with Playwright, Browser Bot, or Protocol Bots.
Score any URL against a real design contract — 42 checks, A-F grade, token + motion validation.
Runs your code against a contract; HELD or BROKE at the exact input. Deterministic. 0.10 USDC/call.
Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.
What is known to be broken in an MCP server or API operation, with the check that found it.
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
Test an email before it goes out: a disposable address, 41 checks with RFC citations, a fix plan.
Whether a registry MCP server works for a stock client, and what changed in its tools. Free, no key.
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.
Discover a site's pages from its sitemap and sample them for WCAG and prompt-injection risk.
Probe a signup URL you own and score whether an AI agent can sign up unaided.
Scan a web page's markup for the WCAG failures ADA demand letters cite most often.
