Llmse is a remote MCP server that gives an AI agent 10 tools, among them analyze_aeo, analyze_eeat, analyze_garm. It answers at https://llmse.ai/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 10 of 10 times since 4 September 2026; the last check, on 17 October 2026, succeeded.
Public MCP server for the LLM Search Engine
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
analyze_aeo | 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 Cita Inputs: url |
analyze_eeat | 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 si Inputs: url |
analyze_garm | 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, Inputs: category, sentiment, url |
analyze_readability | 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 statist Inputs: url |
analyze_seo | 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 UR Inputs: url |
analyze_wcag | 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 lan Inputs: url |
audit | 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 Inputs: url |
classify_url | 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: Inputs: url |
find_similar_sites | 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 rela Inputs: url, limit |
select_advertiser | 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 reques Inputs: url, category, subcategory, age, gender, sentiment |
Every block below points at https://llmse.ai/mcp. Pick your client and copy.
claude mcp add --transport http llmse https://llmse.ai/mcp
{
"mcpServers": {
"llmse": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://llmse.ai/mcp"]
}
}
}{
"mcpServers": {
"llmse": {
"url": "https://llmse.ai/mcp"
}
}
}{
"servers": {
"llmse": {
"type": "http",
"url": "https://llmse.ai/mcp"
}
}
}{
"context_servers": {
"llmse": {
"url": "https://llmse.ai/mcp"
}
}
}{
"mcpServers": {
"llmse": {
"serverUrl": "https://llmse.ai/mcp"
}
}
}{
"mcpServers": {
"llmse": {
"url": "https://llmse.ai/mcp"
}
}
}name: Llmse
version: 0.0.1
schema: v1
mcpServers:
- name: Llmse
type: streamable-http
url: https://llmse.ai/mcp{
"mcpServers": {
"llmse": {
"httpUrl": "https://llmse.ai/mcp"
}
}
}{
"mcpServers": {
"llmse": {
"type": "http",
"url": "https://llmse.ai/mcp"
}
}
}{
"mcpServers": {
"llmse": {
"url": "https://llmse.ai/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fllmse.ai%2Fmcp&type=streamable_http&id=llmse&name=Llmse
It answered our last check on 17 October 2026 in 629 ms. Over 10 checks since 4 September 2026 it answered 10. Status here comes from Neuronto's own probes, not from the publisher.
Yes. It is published by llmse.ai and served from llmse.ai, the vendor's own domain: https://llmse.ai/mcp.
10, as returned by the server's own tools/list on 8 September 2026: analyze_aeo, analyze_eeat, analyze_garm, analyze_readability, analyze_seo, analyze_wcag, audit, classify_url, and 2 more.
It answered our last check on 17 October 2026 in 629 ms. Over 10 checks since 4 September 2026 it answered 10.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://llmse.ai/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: ai.llmse. Endpoint host: llmse.ai. ARD identifier: urn:air:ai.llmse:mcp:mcp.
First indexed 31 August 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.