io.github.cryptosun/proximens-oracle
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Publisher-provided title
Proximens Oracle
Publisher-provided description
1000+ Generative Engine Optimization (GEO) principles exposed via MCP for AI agents.
Summary by lookupd
Searches a GEO principle knowledge base, audits web pages for generative search optimization, and generates content briefs.
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http proximens-oracle https://www.proximens.nl/mcp
Codex, remote (streamable-http)
codex mcp add proximens-oracle --url https://www.proximens.nl/mcp
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"proximens-oracle": {
"url": "https://www.proximens.nl/mcp"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (8 tools)
Publisher-provided text
proximens_geo_search_principlesSemantic search over the Proximens GEO Engine: a curated, continuously-updated knowledge base of 8.000+ Generative Engine Optimization (GEO/AEO) principles, eacproximens_geo_get_principleFetch one GEO principle from the Proximens GEO Engine by its UUID. INPUT: id (REQUIRED, UUID string taken from a prior search_principles result — call search_prproximens_geo_list_categoriesList the GEO principle taxonomy of the Proximens GEO Engine with a live count of high-confidence principles per category. INPUT: none. RETURNS: JSON with a cateproximens_geo_get_statsReturn live aggregate statistics for the Proximens GEO Engine knowledge base. INPUT: none. RETURNS: JSON with total_principles (high-confidence count), total_caproximens_geo_audit_urlPro-tier. Fetch and analyze a web page, then audit it against the Proximens GEO Engine principles across all major GEO dimensions (structured data, crawler acceproximens_geo_compare_urlsPro-tier. Fetch two web pages (your URL and a competitor's) and audit both against the Proximens GEO Engine principles using the same audit engine as audit_url,proximens_geo_synthesize_briefGenerate a structured, GEO-optimized content brief for a topic using the Proximens GEO Engine. INPUT: topic (3-200 chars); optional target_branche (one of 7 verproximens_geo_bulk_searchPro-tier. Run many GEO-principle searches in a single fast call. INPUT: queries (array of 2-100 natural-language strings, each 3-500 chars); optional top_k_per_
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 424 ms
- First indexed:
- Last seen in registry:
- Repository: https://github.com/cryptosun/Proximens
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