MCP server

Proximens Oracle

io.github.cryptosun/proximens-oracle

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

8

Token cost

About 2,474 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http proximens-oracle https://www.proximens.nl/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.proximens-oracle]
url = "https://www.proximens.nl/mcp"

Gemini CLI

{"mcpServers":{"proximens-oracle":{"httpUrl":"https://www.proximens.nl/mcp"}}}

Cursor

{"mcpServers":{"proximens-oracle":{"url":"https://www.proximens.nl/mcp"}}}

VS Code

{"servers":{"proximens-oracle":{"type":"http","url":"https://www.proximens.nl/mcp"}}}

Antigravity

agy mcp add proximens-oracle https://www.proximens.nl/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"proximens-oracle","server_url":"https://www.proximens.nl/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"proximens-oracle","server_url":"https://www.proximens.nl/mcp"}

Tools

• proximens_geo_audit_url ~560 tokens
  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 access, content depth, freshness, E-E-A-T, multimodal). INPUT: url (required, http/https); optional mode ("fast" = quick signal checks, returns
• proximens_geo_bulk_search ~293 tokens
  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_query (1-10, default 5) and category filter. RETURNS: JSON with a results array (per query: the query, its matched principles, and a count),
• proximens_geo_compare_urls ~262 tokens
  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, then compute the delta. INPUT: self_url and competitor_url (both required, http/https). RETURNS: JSON with a 0-100 score per URL (same scor
• proximens_geo_get_principle ~206 tokens
  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 principle as JSON with id, title, summary, category and confidence; Pro/Enterprise tiers additionally return full_text, source_url, source_type
• proximens_geo_get_stats ~159 tokens
  Return live aggregate statistics for the Proximens GEO Engine knowledge base. INPUT: none. RETURNS: JSON with total_principles (high-confidence count), total_categories, and on Pro/Enterprise also extended quality metrics (full corpus size and a confidence_distribution) plus the last-validated times
• proximens_geo_list_categories ~214 tokens
  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 categories array of {category, count, description} sorted by count, plus a reconciled total that matches get_stats.total_principles. Categories:
• proximens_geo_search_principles ~475 tokens
  Semantic search over the Proximens GEO Engine: a curated, continuously-updated knowledge base of 4.000+ verified Generative Engine Optimization (GEO/AEO) principles, each graded by a 0-1 confidence score and traceable to a verified source. INPUT: query (natural language, 3-500 chars); optional categ
• proximens_geo_synthesize_brief ~305 tokens
  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 verticals), word_count_target (300-5000, default 1500) and up to 3 competitor_urls. RETURNS: JSON with a suggested H1 and H2 section structure

Browse

• GitHub tools
• Perplexity tools
• Web scraping
• Web search
• Converting to Markdown
• Notes and wikis

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