"Allow WAR File Commands on Cisco OS" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
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.
Drive and test your React Native and Expo apps end-to-end on iOS and Android. Supports real devices, simulators, and emulators. Snapshots, taps, typing, swipes, screenshots, deep links, reloads, builds and runtime errors.
Translation, data quality, execution verification and agent utilities over MCP + x402 USDC on Base.
Verify before your agent acts on data it paid for. Signed verdicts, checkable offline, via x402.
Run EPUBCheck for EPUB specification errors and compare two exports.
Parse WebVTT, SRT, or TTML for conformance, timing, overlaps, line length, and reading speed.
Run, debug, and triage tests from your IDE using natural language, no dashboard switching, no manual data transfers. The TestMu AI (formerly LambdaTest) MCP Server is a single remote server exposing four tool suites: HyperExecute — analyze your project, generate YAML configs and test runner commands, then monitor jobs and sessions. Automation — pull a TestID's details plus command, network, and console logs into one chat for instant root-cause analysis. Includes mobile app upload. SmartUI — explain pixel, layout, DOM, and perceptual changes in a visual regression run, with context-aware React/HTML/CSS fixes. Accessibility — audit any public URL or a local React app against WCAG and get ready-to-apply remediation steps. Connects over https://mcp.lambdatest.com/mcp using OAuth 2.1 — no API keys in your config. One-click install in Cursor; works with Claude, GitHub Copilot, Cline, and any MCP client. Tests execute on the TestMu AI cloud: 3,000+ browsers and 10,000+ real devices.
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).
Prompt evals over MCP: run a prompt on your dataset, score each output 1-5 with an LLM judge.
A deterministic verification engine for agents. Proves a fix: fails on the old code, passes on new.
Simulated people test your pages, copy and sign-up flows, and say why they would leave.
AI users run real tasks on your live site and show where they get stuck, with a replay of every step
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.
Observed facts on public MCP servers: protocol checks, tool changes, signed evidence. No verdicts.
Scores any public website on how usable it is by AI agents, with per-check evidence.
AgentReady.market audit: can an AI shopping agent find, understand and BUY on this store? /100.
Contrast ratio vs 4.5 for one hex on white
Check if your MCP server is ready to publish on the MCP Registry, Smithery, or npm.
Evaluates UI designs for WCAG accessibility issues automated scanners miss. Paid via x402 on Base.
Unpaid qualification-gated operational_context canary. Staging data. No wallet.
