MCP Integration Examples

Quickstart

The fastest way to get started is to install the LLMSE plugin from your IDE's marketplace. No configuration required — it connects automatically.

Claude Desktop / Claude Code

Search for "llmse" in the Claude plugin marketplace and install. Alternatively, install directly from the repository:

https://github.com/tb0hdan/llmse-plugin

The plugin adds a .mcp.json with the following configuration:

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

Cursor

Search for "llmse" in the Cursor plugin marketplace and install. The plugin adds a mcp.json with the same server configuration. Once installed, LLMSE tools are available in your Cursor AI chat.

Manual Steps

If you prefer to configure the MCP server manually instead of using the plugin, add LLMSE using the command line:

Claude Code

claude mcp add --transport http llmc-public https://llmse.ai/mcp

This adds the server to your local scope. Use --scope project to share with your team via .mcp.json.

Gemini CLI

gemini mcp add --transport http llmc-public https://llmse.ai/mcp

By default, the server is added to ~/.gemini/settings.json. Use --scope project for project-specific config.

OpenAI Codex

Edit ~/.codex/config.toml and add:

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

This configuration is shared between Codex CLI and the VSCode extension.

Available Tools

audit Tool

Performs a comprehensive website audit that combines classification, SEO analysis, EEAT analysis, Answer Engine Optimization (AEO with Citation Readiness), advertiser matching, and similar site discovery in a single efficient call. This is the recommended tool when you need a complete analysis since it fetches the page only once.

Parameters

Example Prompts

Response Structure

Why Use Audit?

classify_url Tool

Classifies a website URL and returns detailed information about its category, language, target audience, and sentiment.

Parameters

Example Prompts

Response Fields

select_advertiser Tool

Matches advertising networks to website demographics. Can work with a URL (fetches classification) or direct demographic parameters.

Parameters

Example Prompts - By URL

Example Prompts - By Demographics

Scoring Algorithm

Advertisers are scored based on demographic matches:

analyze_seo Tool

Analyzes a website URL for SEO issues and provides an overall score, letter grade, and actionable recommendations. Learn more about the grading system on the SEO Analysis page.

Parameters

Example Prompts

Response Fields

SEO Checks Performed

analyze_eeat Tool

Evaluates a website for E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) content quality signals based on Google's Search Quality Rater Guidelines. Also detects YMYL (Your Money or Your Life) content for health, financial, and legal topics. Learn more about the grading system on the EEAT Analysis page.

Parameters

Example Prompts

Response Fields

EEAT Signals Detected

analyze_aeo Tool

Analyzes how well content is optimized for AI answer engines (ChatGPT, Perplexity, Claude, Gemini). Combines Q&A pattern detection, snippet extractability, and entity clarity analysis with a full Citation Readiness assessment. Learn more on the Answer Engine Optimization (AEO) page.

Parameters

Example Prompts

Response Fields

AEO Metrics Evaluated

find_similar_sites Tool

Finds competitor and related websites based on category classification. Classifies the given URL (or uses cached classification) and returns other websites from the same category and subcategory.

Parameters

Example Prompts

Response Fields

Advertising Networks

LLMSE includes 98 real advertising networks across 11 verticals:

Advanced Use Cases

Competitive Analysis

Ad Campaign Planning

Content Quality (EEAT)

Answer Engine Optimization (AEO)

Competitor Discovery

Content Analysis

Bulk Operations

Technical Details

Back to Documentation

See the About page for general information about LLMSE, or visit Query Examples for web interface usage.