MCP injection-scanner — 30+ canonical detection rules across 5 severity tiers for the April 2026 Anthropic MCP RCE class. By MEOK AI Labs.
MCP injection-scanner — 30+ canonical detection rules across 5 severity tiers for the April 2026 Anthropic MCP RCE class. By MEOK AI Labs. The meok mcp injection scan mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 5 defined tools rather than through you.
Everything the assistant can do here goes through one of these:
Well — documented APIProduction-ready — Active maintenancePro — ** $99/mo — Full MCP suite + EU AI Act trackingEnterprise — ** $499/mo — Custom dev + SLA + Dedicated supportDomain — PurposeThe server ships on npm as @smithery/cli, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.
Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Meok MCP Injection Scan MCP's toolset — Well, Production-ready, Pro and 2 more — is a fair guide to whether it matches your workflow. It is maintained by csoai-org; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Meok MCP Injection Scan MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Well | documented API |
| Production-ready | Active maintenance |
| Pro | ** $99/mo — Full MCP suite + EU AI Act tracking |
| Enterprise | ** $499/mo — Custom dev + SLA + Dedicated support |
| Domain | Purpose |
{
"mcpServers": {
"meok-mcp-injection-scan": {
"command": "npx",
"args": ["-y", "@smithery/cli"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.