Proximens Oracle

Name: Proximens Oracle
Author: cryptosun

MCP serverMCP

1000+ Generative Engine Optimization (GEO) principles exposed via MCP for AI agents.

by cryptosunrepository ↗v1.0.0

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Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability5/5 checks ok

30 days ago

when	check	result	http	latency	detail
12 min ago	mcp initialize	ok	200	146 ms	server proximens-geo-engine 0.1.0 · protocol 2025-06-18 · 8 tools
7 h ago	mcp initialize	ok	200	129 ms	server proximens-geo-engine 0.1.0 · protocol 2025-06-18 · 8 tools
13 h ago	mcp initialize	ok	200	137 ms	server proximens-geo-engine 0.1.0 · protocol 2025-06-18 · 8 tools
20 h ago	mcp initialize	ok	200	157 ms	server proximens-geo-engine 0.1.0 · protocol 2025-06-18 · 8 tools
27 h ago	mcp initialize	ok	200	148 ms	server proximens-geo-engine 0.1.0 · protocol 2025-06-18 · 8 tools
34 h ago	mcp initialize	ok	200	153 ms	server proximens-geo-engine 0.1.0 · protocol 2025-06-18 · 8 tools
2 d ago	mcp initialize	ok	200	147 ms	server proximens-geo-engine 0.1.0 · protocol 2025-06-18 · 8 tools
2 d ago	mcp initialize	ok	200	135 ms	server proximens-geo-engine 0.1.0 · protocol 2025-06-18 · 8 tools

Tools observed via MCP handshake

proximens_geo_search_principles — Semantic search over the Proximens GEO Engine: a curated, continuously-updated knowledge base of 4.000+ verified Generative Engine Optimization (GEO/AEO) princi
proximens_geo_get_principle — Fetch one GEO principle from the Proximens GEO Engine by its UUID. INPUT: id (UUID, normally taken from a prior search_principles result). RETURNS: a single pri
proximens_geo_list_categories — List 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 cate
proximens_geo_get_stats — Return live aggregate statistics for the Proximens GEO Engine knowledge base. INPUT: none. RETURNS: JSON with total_principles (high-confidence count), total_ca
proximens_geo_audit_url — Pro-tier. Fetch and analyze a web page, then audit it against the Proximens GEO Engine principles across all major GEO dimensions (structured data, crawler acce
proximens_geo_compare_urls — Pro-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_brief — Generate 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 ver
proximens_geo_bulk_search — Pro-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_

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kind ← Official MCP Registry

name ← Official MCP Registry

repoUrl ← Official MCP Registry

summary ← Official MCP Registry

version ← Official MCP Registry

description ← Official MCP Registry

publisherName ← Official MCP Registry

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Official MCP Registryio.github.cryptosun/proximens-oracle

first seen 2 d ago · fetched 2 h agoopen ↗

Field history (6 recent events)

2 d ago · declared · summary → "1000+ Generative Engine Optimization (GEO) principles exposed via MCP for AI agents."
2 d ago · declared · description → "1000+ Generative Engine Optimization (GEO) principles exposed via MCP for AI agents."
2 d ago · declared · publisherName → "cryptosun"
2 d ago · declared · repoUrl → "https://github.com/cryptosun/Proximens"
2 d ago · declared · version → "1.0.0"
2 d ago · declared · protocols → ["mcp"]

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