Marketing

clicon.app

This MCP server provides SEO analysis and quick win optimization for domains, including GEO status, implementation code generation, and competitor action tracking.

1 endpoint16 known toolsFirst detected July 25, 2026Last detected August 29, 2026

ENDPOINT 1

https://lotus.clicon.app/mcp

No auth detected

MCP server metadata

Name: Lotus GEO Engine
Version: 1.27.0

Capabilities

experimentalpromptsresourcestools

Known tools 16

analyze_geo

Analyze a domain's visibility across AI-generated answers.

Inferred read-only

get_quick_wins

Return pending and applied quick wins for a domain.

Inferred read-only

get_quick_win_code

Generate ready-to-install code for a quick win, identified by its hash.

Inferred read-only

mark_applied

Verify-before-mark: checks that the expected schema is actually present in the live DOM of the site before marking the quick win as applied.

Inferred read-only

get_competitor_actions

Return pending and completed competitor actions for a domain.

Inferred read-only

get_artifact

Return the most recent artifact (llms_txt or json_ld) for the authenticated client: content, version, generated_at and status.

Inferred read-only

get_bot_activity

Return AI crawler activity for the authenticated client's domain: total hits, breakdown per bot, most recent hits and last-seen per bot.

Inferred read-only

get_bleed_model

Return the traffic erosion model for the authenticated client: cascading metrics with their *_source provenance labels, plus the resulting revenue-at-risk calculation.

Inferred read-only

verify_installation

Check live whether llms.

Inferred read-only

get_citation_verdict

Return the most recent citation score for the authenticated client, along with the measurements from that same week (safe fields only).

Inferred read-only

generate_share_link

Generate a public report link for the authenticated client and persist it.

Inferred read-only

regenerate_artifacts

Regenerate the GEO artifacts (llms_txt, json_ld and supporting schema nodes) for the authenticated client.

Inferred read-only

get_report_data

Return the full report payload for a share link slug owned by the authenticated client.

Inferred read-only

list_artifacts

Return artifacts (llms_txt, json_ld, defense_nodes) for the authenticated client, without their content payload.

Inferred read-only

approve_artifact

Approve an artifact by its ID.

Inferred read-only

activate_artifact

Activate an artifact by its ID.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.lotus-geo-engine]
url = "https://lotus.clicon.app/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "lotus-geo-engine": {
      "type": "http",
      "url": "https://lotus.clicon.app/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: lotus-geo-engine
Remote MCP URL: https://lotus.clicon.app/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "lotus-geo-engine": {
      "url": "https://lotus.clicon.app/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "lotus-geo-engine": {
      "type": "http",
      "url": "https://lotus.clicon.app/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "lotus-geo-engine",
  "transport": "streamable-http",
  "url": "https://lotus.clicon.app/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for clicon.app was fetched 2026-07-31T08:04:01.784Z and is being refreshed.

Trust status Neutral

clicon.app is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.