mcpbeat

Lotus — AI Citation Intelligence MCP Server

app.clicon/lotus
answering

Lotus — AI Citation Intelligence is answering right now. Last checked 2 min ago. It exposes 12 tools. Last commit 28 Jul 2026.

Measure how AI assistants cite your brand. Returns measured data and ready-to-apply fixes.

Uptime history 41 hours of history · worst hour 75%
41 hours agonow
100.0%
Uptime 24h
91 of 91 checks
12
Tools
read from the server
313 ms
Response time
average over 24h
0
Stars
last commit 28 Jul 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 2 min ago.

run in your terminal
claude mcp add lotus --transport http https://lotus.clicon.app/mcp/
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "lotus": {
      "url": "https://lotus.clicon.app/mcp/"
    }
  }
}
~/.codex/config.toml
[mcp_servers.lotus]
url = "https://lotus.clicon.app/mcp/"
.cursor/mcp.json
{
  "mcpServers": {
    "lotus": {
      "url": "https://lotus.clicon.app/mcp/"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "lotus": {
      "url": "https://lotus.clicon.app/mcp/"
    }
  }
}

Available tools 12

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

quick
get_quick_win_code
Generate ready-to-install code for a quick win, identified by its hash. Only available for structured_data quick wins. Requires a valid API key.
get_quick_wins
Return pending and applied quick wins for a domain. Requires a valid API key (pro, growth or agency).
analyze
analyze_geo
Analyze a domain's visibility across AI-generated answers. Without an API key: returns a limited preview (1/day per IP, 3/week). With a valid API key: returns the full analysis including measured metrics, revenue-at-risk estimates and scenario simulations.
artifact
get_artifact
Return the most recent artifact (llms_txt or json_ld) for the authenticated client: content, version, generated_at and status. Use when an agent needs to read the generated llms.txt or JSON-LD. artifact_type must be "llms_txt" or "json_ld".
bleed
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. Use when an agent needs to assess the economic impact of losing traffic to AI-generated answers.
bot
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. Use when an agent needs to assess how frequently AI crawlers visit a site over the last N days.
citation
get_citation_verdict
Return the most recent citation score for the authenticated client, along with the measurements from that same week (safe fields only). Raw data — no healthy/critical classification applied. Use when an agent needs to audit how generative engines cite a client: citation rate, average position, sentiment, competitors mentioned and entity fidelity.
competitor
get_competitor_actions
Return pending and completed competitor actions for a domain. Requires a valid API key (pro, growth or agency).
generate
generate_share_link
Generate a public report link for the authenticated client and persist it. Returns {report_url, slug}. Use when an agent needs to create a shareable report covering the client's full visibility status: crawler activity, revenue at risk, competitive intelligence and competitors.
mark
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. Only marks it if the expected @type is found among the schemas detected on the domain (best-effort, fails safe). Requires a valid API key.
regenerate
regenerate_artifacts
Regenerate the GEO artifacts (llms_txt, json_ld and supporting schema nodes) for the authenticated client. Respects a 6h cooldown and the daily generation budget. Use when an agent needs to force regeneration after changes to the site or to the competitor/advantage configuration.
verify
verify_installation
Check live whether llms.txt and JSON-LD are correctly installed on the authenticated client's domain. Returns an overall status (fully_deployed / partially_deployed / not_deployed) plus the detailed result for each artifact. Use when an agent needs to confirm that GEO artifacts are serving correctly on the client's site.

Endpoints

URLTransportStateLatencyChecked
https://lotus.clicon.app/mcp/ streamable-http answering 223 ms 2 min ago

Lotus — AI Citation Intelligence — questions

Answers built from our own checks of this server.

What can Lotus — AI Citation Intelligence do?
It exposes 12 tools, read directly from the server on our last check. Among them: analyze_geo, generate_share_link, get_artifact, get_bleed_model, get_bot_activity, get_citation_verdict and 6 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is Lotus — AI Citation Intelligence working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 313 ms. The bar chart above shows every period we have measured.
How do I connect Lotus — AI Citation Intelligence?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does Lotus — AI Citation Intelligence need an API key?
No. Lotus — AI Citation Intelligence completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is Lotus — AI Citation Intelligence?
It answers our handshake in 313 ms on average, which is faster than 45% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is Lotus — AI Citation Intelligence open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.