SpamBrain-proof your pSEO before you publish, audit page relationships, not just pages. AI-triaged findings, 8 LLM providers, local telemetry, cost
SpamBrain-proof your pSEO before you publish, audit page relationships, not just pages. AI-triaged findings, 8 LLM providers, local telemetry, cost caps, MCP server. That is what the pseolint mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Methodology · Leaderboard · Report a bug · Skills for agents
The server publishes 5 tools. What each one is for:
Graph — level, not page-level.** Detects near-duplicate clusters, doorway patterns, and entity-swap doorways across thousands of pages. Per-page tools can'tAuthority — blind by design, with a manual override.** pseolint analyses static content + the link graph it can see. It does NOT measure backlinks, brandMode — CommandRule — What It ChecksCannibalization — The Cannibalization tool exposed by this serverBecause this one is hosted, setup is mostly authentication — you point your client at the endpoint and approve access. Nothing runs on your machine, so there is no runtime to keep patched.
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. Pseolint's toolset — Graph, Authority, Mode and 2 more — is a fair guide to whether it matches your workflow. It is maintained by ouranos-labs; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Pseolint's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
| Tool | What it does |
|---|---|
| Graph | level, not page-level.** Detects near-duplicate clusters, doorway patterns, and entity-swap doorways across thousands of pages. Per-page tools can't see these. |
| Authority | blind by design, with a manual override.** pseolint analyses static content + the link graph it can see. It does NOT measure backlinks, brand mentions, domain age, or any external trust signal — there is no Moz/Ahrefs/Se |
| Mode | Command |
| Rule | What It Checks |
| Cannibalization | The Cannibalization tool exposed by this server. |
{
"mcpServers": {
"pseolint": {
"command": "npx",
"args": ["-y", "pseolint"]
}
}
}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.