Agentgauge vs PageLens AI — MCP Server Comparison | AllMCPs
Agentgauge vs PageLens AI
A side-by-side look at the Agentgauge and PageLens AI MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Agentgauge for security work over a hosted endpoint; choose PageLens AI for security over a hosted endpoint. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Agentgauge when
You need dedicated capabilities in the Security domain.
scan_websiteRun an AgentGauge agent-readiness scan of a website. Grades whether AI search can find/cite it and whether AI agents can use/transact with it, against the AgentReady standard. Returns the grade, both gauges, every check with its status, and a link to the full report.
PageLens AI tools 4
whoamiConfirm which PageLens account this MCP session is operating on, plus granted OAuth scopes.
list_domainsList the domains you've verified ownership of, along with badge tier and the scan currently anchored to the public badge.
list_scansList your most recent PageLens scans. Filter by status, domain, or date. Returns a slim summary per scan (id, URL, score, grade, severity counts, and `launchVerdict`). Scans may include `launchContext` with `builderPlatform` and `launchMoment` so agents can frame fixes for the owner's workflow with…
get_scanRead the full summary for a single scan: score, grade, owner-first `launchVerdict`, severity counts, launch context, executive summary, top-5 highest-priority findings, and per-persona reviews. For QA Audit scans, `get_scan` also returns a `qaAudit` block containing the product-flow synthesis, jour…
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Agentgauge is categorized under Security and uses a remote HTTP/SSE transport. PageLens AI belongs to Security and uses a remote HTTP/SSE transport. Pick Agentgauge for security work and PageLens AI for security.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Agentgauge has no declared pricing — check the project's own site. PageLens AI has no declared pricing — check the project's own site. Auth: oauth 2.0. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add agentgauge and pagelens-ai as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Agentgauge has a quality signal of 51/100 (Good) with 2 views, 0 installs and 0 GitHub stars. PageLens AI has 49/100 (Fair) with 3 views, 0 installs and 1 GitHub stars.