3772 Model Context Protocol servers — searchable, rated, ready to install.
Drive the iOS Simulator from an agent: read the screen, tap/type/swipe, replay flows in CI.
Auditable memory for AI agents: provable deletion, tamper-evident audit, time-travel recall.
Compare prices across Swiss and European shops — barcode (GTIN) lookup and daily price history.
Run Offensive360 SAST scans (60+ languages) on local code; findings with file/line and fixes
Search AtCoder problems and fetch public problem statements through MCP.
Local-first visual regression for AI agents: verdicts, diff images, explain_snapshot. No API key.
Turn an unfamiliar codebase into validated architecture, contracts, and a reimplementation spec.
Search receipt-verified agent build packs, with each pack's real M-of-N pass rate.
Scans code for hardcoded secrets (AWS, Stripe, GitHub, JWTs) before an AI agent commits it.
Proves AI-generated Python does what you asked: lint, types, security, sandbox run, exact fixes.
Semantic map of a .NET test-automation solution for AI agents — search, impact, endpoints
Audit-first test strategy MCP server for repository-native test planning.
Approved acceptance criteria served over MCP to Claude Code, Cursor, or Codex. Git-only, sealed.
Developer MCP server: code analysis, JSON repair, imports, diffs, regex, format conversion.
Persistent cross-session memory for OpenCode and MCP coding agents, powered by ZeroDB.
Local structured analysis of deployed EVM runtime bytecode
Test analytics for AI agents: test history, flaky tests, failure clusters, coverage.
Wisconsin DMV service centers with per-office services, tests and payment methods
Zero-LLM structural code retrieval for AI coding agents, served over MCP.
Create and run 24/7 linear TV channels. Import videos by URL; we transcode, schedule and stream.
Source-checked CLI guides and model-aware planning for Claude Code, Codex, and Grok Build.
Regression-test AI models on real Snapdragon and Jetson hardware, with signed evidence for CI.
qart.uk MCP server: resolve scanned codes, browse the free pool, and buy QR artwork.
Clean messy CSVs: an LLM picks the steps, tested code does the work. Data untouched by the model.
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