Lotus — AI Citation Intelligence MCP Server

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Lotus — AI Citation Intelligence is listed as active in the registry but did not answer our last check. It exposes 16 tools. Last commit 28 Jul 2026.

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

Uptime history 91 days of history · worst day 0%

91 days agonow

0.0%

Uptime 24h

0 of 92 checks

Tools

read from the server

232 ms

Response time

average over 24h

Stars

last commit 28 Jul 2026

Lotus — AI Citation Intelligence does not always answer

Over the last week it answered 0.0% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 3 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add lotus --transport http https://lotus.clicon.app/mcp/

Settings → Connectors → Add custom connector, then paste this address

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

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

Available tools 16

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).

activate

activate_artifact

Activate an artifact by its ID. The artifact must belong to the authenticated client's domain. Activation makes the artifact live — only one version of a given type can be active at a time. Use when an agent needs to deploy an approved artifact to production.

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.

approve

approve_artifact

Approve an artifact by its ID. The artifact must belong to the authenticated client's domain. Approved artifacts are ready for activation but are not yet live on the site. Use when an agent has reviewed a generated artifact and wants to mark it as ready for deployment.

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".

artifacts

list_artifacts

Return artifacts (llms_txt, json_ld, defense_nodes) for the authenticated client, without their content payload. Optionally filter by exact status (e.g. "pending_review", "approved"). Use status="" to return all statuses. limit caps the number returned (default 20, max 100); the "total" field always reflects the real unfiltered count for the domain. Use when an agent needs to discover which artifact IDs are available before approving or activating a specific one.

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.

report

get_report_data

Return the full report payload for a share link slug owned by the authenticated client. Returns the report even if the share link has expired. Use when an agent needs to read a report it previously generated with generate_share_link, without opening the public URL in a browser.

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

URL	Transport	State	Latency	Checked
https://lotus.clicon.app/mcp/	streamable-http	answering	232 ms	3 min ago

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Lotus — AI Citation Intelligence — questions

Answers built from our own checks of this server.

What can Lotus — AI Citation Intelligence do?

It exposes 16 tools, read directly from the server on our last check. Among them: activate_artifact, analyze_geo, approve_artifact, generate_share_link, get_artifact, get_bleed_model and 10 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 0 of 92 checks got a reply (0.0%), average response time 232 ms. The bar chart above shows every period we have measured.

The registry lists Lotus — AI Citation Intelligence as active — why does it not respond?

The official MCP registry stores what the author submitted; it does not verify that the server still runs. We check the endpoint ourselves, and this one does not answer. Catalogues that copy the registry without checking will show it as working.

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 in the form 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 16 of them are readable on this page. This is what we observed, not what the docs claim.

Is Lotus — AI Citation Intelligence open source?

The code is open source: it is published under the MIT licence, 0 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at lotus.clicon.app, which runs on its operator's own terms.