"Using Cursor to Find Suitable Repositories on GitHub" 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.
Connect Claude, ChatGPT, Cursor or any MCP client to Ybug. Read bug reports with screenshots, console logs and network requests, then triage them in chat.
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.
Validate and clean CSV before import. Find duplicates, missing values and invalid dates with row-level reports. Apply only the cleanup you request; files are not retained. Run view_csv_demo free without a key. Custom CSV: EUR 9 for 100 operations, valid 90 days, no subscription. Setup: https://check.orvel.dev/docs/
Risk-scan a diff, flag AI-generated-code tells, find secrets. 5 of 7 tools need no account.
Test and debug your AI agent's Web Bot Auth (RFC 9421) signature: is it valid, and what to fix?
Validate CSV columns, find duplicates and invalid values, and clean files with explicit rules. Row-level reports, no stored files. Run the fixed free sample without a key. Custom CSV: EUR 9 for 100 operations, valid 90 days, no subscription. Setup: https://import-check-production.up.railway.app/docs/
Uxia brings AI user testing, usability testing and UX research into ChatGPT. It helps product managers, UX designers, researchers and developers evaluate websites, interactive prototypes and digital product experiences using AI-simulated users. Explore potential usability problems, investigate friction in user journeys and use findings to guide product and design improvements.
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.
An open-source benchmark of how well LLMs solve nonogram puzzles, from 5x5 to 20x20.
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.
Kilotest leverages 12 rule engines to test web pages for front-end quality (accessibility, usability, and standards conformity) and report results with specifiable granularity.
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.
Generate synthetic random user data for testing, demos, and development without using real persona.
Assign Linear, Jira or GitHub issues to an AI coding agent team that plans, builds, reviews, tests.
Scan GitHub-hosted AI skills for vulnerabilities: prompt injection, malware, OWASP LLM Top 10.
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.
