MCP server

Llmse Official

ai.llmse/mcp

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

Public MCP server for the LLM Search Engine

At a glance

Type

MCP server

Publisher

llmse.ai (verified by the MCP Registry)

Status

Working at last check

Tools

10

Token cost

About 4,220 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 llmse https://llmse.ai/mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.llmse]
url = "https://llmse.ai/mcp"

Gemini CLI

{"mcpServers":{"llmse":{"httpUrl":"https://llmse.ai/mcp"}}}

Cursor

{"mcpServers":{"llmse":{"url":"https://llmse.ai/mcp"}}}

VS Code

{"servers":{"llmse":{"type":"http","url":"https://llmse.ai/mcp"}}}

Antigravity

agy mcp add llmse https://llmse.ai/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":"llmse","server_url":"https://llmse.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"llmse","server_url":"https://llmse.ai/mcp"}

Tools

• analyze_aeo ~506 tokens
  Analyze how well content is optimized for AI answer engines. Evaluates content for AI answer engines (ChatGPT, Perplexity, Gemini, Claude). Combines Q&A pattern detection, snippet extractability, and entity clarity analysis with a full Citation Readiness assessment. AEO Scoring Fra
• analyze_eeat ~465 tokens
  Analyze a website URL for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness). Evaluates content quality signals based on Google's Search Quality Rater Guidelines and "Creating helpful content" documentation. Detects EEAT signals including: - Experience: First-person lan
• analyze_garm ~477 tokens
  Compute GARM brand safety score for a website or category. Based on the GARM (Global Alliance for Responsible Media) Brand Suitability Framework. Maps content categories to 11 GARM sensitive content categories with risk levels (Floor, High, Medium, Low). Can either: 1. Provide
• analyze_readability ~420 tokens
  Analyze a website URL for content readability using Flesch Reading Ease. Extracts plain text from HTML and computes readability metrics including Flesch Reading Ease score, Flesch-Kincaid grade level, reading time, and word/sentence statistics. Grade Scale (web-optimized): - A
• analyze_seo ~265 tokens
  Analyze a website URL for SEO optimizations. Fetches the URL content and analyzes HTML for possible SEO improvements. Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to analyze (e.g., "https://examp
• analyze_wcag ~373 tokens
  Analyze a website URL for WCAG 2.1 Level A accessibility issues. Automated static HTML analysis covering approximately 30-40% of WCAG 2.1 Level A criteria. Checks include: image alt text, form labels, heading hierarchy, page title, html lang, empty links/buttons, ARIA labels, duplic
• audit ~477 tokens
  Perform comprehensive audit of a website URL. Fetches the URL content ONCE and provides a combined report with: - Classification: category, subcategory, language, sentiment, demographics - SEO Analysis: score, grade, issues, recommendations - EEAT Analysis: experience, expertise, au
• classify_url ~278 tokens
  Classify a website URL into category, subcategory, language, and sentiment. Fetches the URL content and uses AI for classification. Results are cached for fast subsequent lookups. Rate limited to 1 request per minute per domain. Args: url: The website URL to classify (e.g.,
• find_similar_sites ~306 tokens
  Find similar or competitor websites based on classification. Takes a URL, classifies it (or uses cached classification), and returns other websites from the same category and subcategory. Useful for competitive analysis and discovering related content. Rate limited to 1 request per
• select_advertiser ~653 tokens
  Select the best advertisers based on website demographics. Matches advertisers to website content based on classification demographics. Provide either a URL (classification will be fetched) or demographics directly. Rate limited to 1 request per minute per domain when using URL. Sc

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