Xenarch — x402 MCP server for AI agent payments. Non-custodial, USDC on Base L2.
Cloud, browsers, systems and runtime control.
Xenarch — x402 MCP server for AI agent payments. Non-custodial, USDC on Base L2.
Website screenshots for AI agents: full-page, country proxies, ad & cookie-banner removal
Deploy to IBM Code Engine from Cursor, Copilot, Claude & Cline. Build, push, deploy via MCP.
Real eyes and hands on the web for AI agents. MCP-first. Local-first. Vendor-agnostic.
Agentic OS MCP Server — 150+ tools with on-demand loading (26 core), Streamable HTTP transport, background task engine, browser automation, TF-IDF semantic memory, multi-agent orchestration. Zero API keys.
Model Context Protocol (MCP) server for ESET PROTECT (On-Prem & Cloud) — manage devices, policies, detections, incidents, quarantine, and more via ESET REST API and ESET Connect
MCP server for ParseBounce — check email bounces, complaints, suppressions and deliverability stats for AWS SES, SendGrid, Mailgun, SparkPost, Postmark and Mandrill from Claude, Cursor, VS Code or any MCP client.
LinkedIn for AI assistants — search, profiles, jobs, feed, messaging, and gated writes.
Bookmarks on a decision clock: 24 hours to decide, 30 days to watch, or keep. Never deletes.
Browser-grade web access for AI agents. Fetches any webpage, returns clean markdown.
Drive your real, logged-in Chrome/Edge from AI agents over CDP. Faster. Sharper.
Multi-cloud cost, inventory and waste analysis over MCP: AWS, GCP, Cloudflare and OVH.
Annotates any web page with hover labels for AI assistants — zero extensions, any browser
Model Context Protocol (MCP) client and server implementation
Give any MCP client the ability to browse and interact with the web via WebUplink.
Create App Store and Play Store screenshots with AI via MCP
MCP server: x402-paid & free tools for AI agents — provenance, quality scoring, action audit.
MCP server + Chrome extension that drives Google Flow: local image (+ optional end frame) and a prompt in, downloaded mp4 out.
A command-line tool acting as an MCP (ModelContextProtocol) server, using Playwright to crawl web content for AI models.
Experimental MCP server for browser automation using Puppeteer (inspired by @modelcontextprotocol/server-puppeteer)