"Assistance with macOS Spaces feature" 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.
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
Rule engine with built-in simulation. 55 MCP tools for complete business rule lifecycle management.
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.
Kilotest leverages 10 rule engines to test web pages for front-end quality (accessibility, usability, and standards conformity) and report results with specifiable granularity.
What is known to be broken in an MCP server or API operation, with the check that found it.
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.
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.
MCP-native AI browser testing for coding agents. Submit a URL + goal, get back action trail, bugs, screenshots, and WebM video your agent patches from directly. 43 tools, 12 AI evaluation personalities, combo tiers with auto-pause-on-bugs, throwaway email + SMS inboxes.
Validate JSON, YAML, XML and CSV with exact line/column errors and silent-corruption warnings.
Test HTTP 429/503 retries and Retry-After with server-observed traces; share synthetic findings.
X-Z-CS AI validation with auditable reasoning. 8 active tools; 5 in maintenance. v0.5.62
Benchmark MCP tool selection with metadata-only routing, collision, abstention, and holdout checks.
Scores any public website on how usable it is by AI agents, with per-check evidence.
Agentic code review, no signup to try: reality gates + frontier-model review, with veto.
Voice-powered bug reporting with 13 MCP tools. Record bugs by talking; let AI find and fix them.
Benchmark-first release surface with a read-only MCP endpoint and operator CLI.
Grade MCP servers A to F with the open behavioral litmus. npm: full toolset; hosted: lookups only.
