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  3. CitedOrNot AI Search Visibility
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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 2:01:57 AM

CitedOrNot AI Search Visibility

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View RepositoryVisit Website
ai-searchbrand-visibilitymarketinganalytics

Reads scheduled AI search visibility results for brands, competitors, mentions, citations, and publishing recommendations.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Remote HTTP
Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "citedornot-ai-search-visibility": {
      "url": "https://citedornot.com/mcp"
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (5) Directory Badge Claim listing Alternatives๐Ÿ’ป More in Developer Tools

Overview

CitedOrNot - AI Search Visibility MCP server connects AI assistants to scheduled brand-visibility results from CitedOrNot. It provides read-only access to brand coverage, engine answers, competitor gaps, citations, sentiment, and recommendations about what to publish. Use it when you need to inspect how ChatGPT, Gemini, Perplexity, and other AI engines represent a brand without starting a new scan. The remote streamable HTTP endpoint requires a Pro or Agency account and an MCP token.

Use cases

โ€ขCompare brand visibility across AI engines
โ€ขFind questions where competitors are named instead
โ€ขReview citations and tone in individual engine answers
โ€ขIdentify what content to publish next
โ€ขRank agency clients by rolled-up visibility

Key features

โ€ขBrand and scan inventory
โ€ขVisibility and recommendation metrics
โ€ขEngine answer and citation inspection
โ€ขCompetitor gap filtering
โ€ขPublishing recommendations
โ€ขAgency client visibility rollups

Capabilities & Tool Schemas (5) ~179 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by CitedOrNot AI Search Visibility.

list-brands-tool

Every brand on the account, with question counts and when each was last scanned. Call this first.

get-brand-visibility-tool

Visibility rate, recommendation rate, sentiment split, a breakdown by engine and by question, and the competitor gaps.

list-mentions-tool

Individual engine answers: the engine, whether the brand was named, tone, how strongly it was recommended, an excerpt and any citations. Filter by question, engine, tone or gaps only.

get-recommendations-tool

The current "what to publish" advice: which competitor is winning, the query, proof points and action steps.

list-clients-tool

Agency clients with their brands and a rolled-up visibility rate. Appears only for accounts that have clients.

How CitedOrNot AI Search Visibility works

What the CitedOrNot - AI Search Visibility MCP server does

CitedOrNot - AI Search Visibility MCP server lets an MCP-compatible assistant read the results collected by a CitedOrNot account. CitedOrNot checks on a schedule whether selected AI engines mention a brand when users ask buying or recommendation questions. The MCP connection exposes those existing results for analysis; it does not initiate scans or modify account data.

The available data can help answer questions such as which brand has the lowest visibility, where a competitor appears instead, how engines differ in tone, and what content recommendations are currently associated with a brand. Agency accounts can also inspect clients, their brands, and an aggregated visibility rate.

How it works

The service is hosted by CitedOrNot at https://citedornot.com/mcp and uses streamable HTTP. Authenticate each connection with a personal MCP token in either an Authorization: Bearer <token> header or an X-API-Key: <token> header when the client cannot set the Authorization header. OAuth is not used.

Start with list-brands-tool, which returns the brands on the account, their question counts, and the date of the latest scan. Use the returned brand information to inspect visibility or drill into individual mentions. All tools are read-only, so requests consume neither scan allowance nor account-changing operations.

Setup and configuration

An active CitedOrNot Pro or Agency account is required. Create a personal token under CitedOrNot Settings โ†’ MCP; the token begins with mcp_. Add the hosted endpoint as a remote MCP server in a compatible client and supply the token as a request header.

Claude Code can be configured with its HTTP transport command. Claude.ai or Claude Desktop uses a custom connector with authentication set to None, followed by an Authorization header containing the bearer token. Cursor, VS Code, and Windsurf use the same endpoint and Authorization header pattern. The token should be treated as a password because it grants access to the accountโ€™s brand results.

Tools and capabilities

  • list-brands-tool lists account brands, question totals, and the last scan time.
  • get-brand-visibility-tool reports visibility and recommendation rates, sentiment distribution, engine and question breakdowns, and competitor gaps.
  • list-mentions-tool returns individual engine answers with the engine name, brand-mentioned status, tone, recommendation strength, excerpt, and citations. Filters include question, engine, tone, and gaps-only results.
  • get-recommendations-tool provides the current publishing advice, including the winning competitor, query, proof points, and suggested actions.
  • list-clients-tool lists agency clients, their brands, and rolled-up visibility. This tool appears only when the account has clients.

Limitations and notes

CitedOrNot - AI Search Visibility is limited to reading results already collected by the CitedOrNot product. It does not run scans, change settings, or update account data. Access is limited to 60 requests per minute, and the token stops working if the account leaves the Pro or Agency plan or the token is deactivated.

The repository documents the service rather than publishing its implementation. The MIT license applies to the repository documentation only; it does not cover the hosted CitedOrNot service, name, or logo. The accountโ€™s live scan coverage and results depend on the brands and questions configured in CitedOrNot.

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

Last commit
1d ago
Most recent push to the default branch.
Tools exposed
5
Callable tools this server registers over MCP.

Reviews

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Frequently Asked Questions about CitedOrNot AI Search Visibility

CitedOrNot - AI Search Visibility is an MCP server that connects AI assistants to scheduled CitedOrNot results from ChatGPT, Gemini, Perplexity, and other AI engines. Its main tools list brands, report visibility, inspect mentions and citations, return publishing recommendations, and show agency client rollups. Access is read-only.

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Technical Specs & Signals

Category๐Ÿ’ปDeveloper Tools
More technical detailsExpand โ–พ
TransportSSE (Remote)
LicenseMIT
ClientsClaude Desktop, Cursor, Claude Code, VS Code (GitHub Copilot), Windsurf
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars0
GitHub Star CountTotal stargazers on GitHub representing community popularity (0 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 12, 2026
52Quality signal: Good ยท 52/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools25/30
Adoption & activity4/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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