Cited

AI-answer-engine visibility scans for local businesses, as agent tools

Sollte ich dies verwenden

Qualität und Sicherheit

B
Qualität der Beschreibung
98%
Vollständigkeit des Schemas
61%
Qualität der Benennung
82%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~813Tokens (Tool-Definitionen)
~366 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.64% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "cited-visibility-scanner": {
      "url": "https://cited-api-production.up.railway.app/mcp/"
    }
  }
}

Remote-Endpunkte

https://cited-api-production.up.railway.app/mcp/streamable-http

Was es kann

Tool-Inventar

Tools (9)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟢cited_health

Liveness check for the Cited API.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "cited_healthArguments"
}
🟢cited_scan(business, city, category)

Run a free instant AI-visibility scan for a local business. Args: business: the business's name, e.g. "Sunshine Smiles Dentistry" city: city + state, e.g. "Austin, TX" category: the service category, default "dentist" Returns per-engine verdicts, verbatim AI evidence quotes, citations, and a `cta_teaser` on any check where the business wasn't the top recommendation — the specific fix is a paid-tier ($39/mo) feature. Rate limit: 3/IP/24h. Scan takes under 30s (single-prompt free-tier path).

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "business": {
      "title": "Business",
      "type": "string"
    },
    "city": {
      "title": "City",
      "type": "string"
    },
    "category": {
      "default": "dentist",
      "title": "Category",
      "type": "string"
    }
  },
  "required": [
    "business",
    "city"
  ],
  "title": "cited_scanArguments"
}
🟢cited_report(scan_id)

Re-fetch a previous scan result by its shareable scan_id.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "scan_id": {
      "title": "Scan Id",
      "type": "string"
    }
  },
  "required": [
    "scan_id"
  ],
  "title": "cited_reportArguments"
}
🟢cited_watch_status(business)

Check whether a business is on the paid weekly monitoring plan.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "business": {
      "title": "Business",
      "type": "string"
    }
  },
  "required": [
    "business"
  ],
  "title": "cited_watch_statusArguments"
}
⚪cited_stats

Funnel counters: page views, scans run, paid registrations.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "cited_statsArguments"
}
⚪cited_api_docs(topic)

Self-serve documentation for Cited — quickstart, MCP tools, REST endpoints, error shapes, and agent-operator policies, as markdown. Args: topic: "quickstart" | "mcp" | "rest" | "errors" | "policies" | "all" (default "" == "all"). Unknown topics fall back to full docs.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "topic": {
      "default": "",
      "title": "Topic",
      "type": "string"
    }
  },
  "title": "cited_api_docsArguments"
}
⚪cited_examples(pattern)

Complete, runnable recipe for a common Cited integration pattern. Args: pattern: "python_scan" (REST scan + verdict parsing) | "agent_watch" (MCP client connect + prompt)

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "pattern": {
      "default": "python_scan",
      "title": "Pattern",
      "type": "string"
    }
  },
  "title": "cited_examplesArguments"
}
🟢skills_list_tool

List this product's skills. Each entry carries the SKILL.md URI, its name and description, verbatim frontmatter, and a per-file sha256 manifest. Read a body with `read_skill`.

Eingabe-Schema

{
  "type": "object",
  "properties": {},
  "title": "skills_list_toolArguments"
}
🟢read_skill(uri)

Read a product skill file by its skill:// URI. Args: uri: e.g. skill://<product>/<skill-name>/SKILL.md Get valid URIs from `skills_list_tool`.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "uri": {
      "title": "Uri",
      "type": "string"
    }
  },
  "required": [
    "uri"
  ],
  "title": "read_skillArguments"
}

Community

Diesen Server bewerten

Nachweis

Aktuelle Beobachtungen

verifiziertVersion nicht aufgezeichnet9 Tools
verifiziertVersion nicht aufgezeichnet9 Tools