Scan websites, public repositories, and Open CLAW skills for security vulnerabilities and misconfigurations. Built for developers who need automated security assessment integrated into their AI workflows.
io.github.shadoprizm/cyberlens-mcp-server
Local install
STDIO
No auth required
How models use it and what it is built for.
Scan websites, public repositories, and Open CLAW skills for security vulnerabilities and misconfigurations. Built for developers who need automated security assessment integrated into their AI workflows.
Local install — runs as a subprocess.
Configuration this server reads at startup.
CyberLens API key. Optional if you use the connect_account browser flow.
Optional override for the CyberLens public scan API base URL.
Where to find authoritative docs and source for CyberLens.
Paste any of these into Agent Studio after connecting CyberLens.
Common questions about connecting and running CyberLens.
What can CyberLens MCP server scan?
It scans websites, public repositories, and Open CLAW skills for security vulnerabilities and misconfigurations. You can use it to automate security assessment as part of your development workflow.
Do I need an API key to use this server?
The CYBERLENS_API_KEY environment variable is optional—you can authenticate via the connect_account browser flow instead. For production use, setting the API key is recommended for higher rate limits.
Can I use a custom CyberLens API endpoint?
Yes, set the CYBERLENS_API_BASE_URL environment variable to override the default public scan API endpoint.
How do I install and run this MCP server?
Install via npm with `npx @shadoprizm/cyberlens-mcp-server@1.0.0`. It communicates over stdio, so configure it in your MCP client to connect and start scanning.
What's the difference between this and running CyberLens directly?
This MCP server integrates CyberLens scanning into your AI chat and automation workflows, letting you request scans and parse results programmatically without leaving your development environment.
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