Docs for the CitedOrNot MCP server: ask your AI assistant which AI engines name your brand, who wins instead, and what to publish. Read-only.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/citedornot/citedornot-mcp{
"mcpServers": {
"citedornot-mcp": {
"command": "node",
"args": ["/path/to/citedornot-mcp/dist/index.js"]
}
}
}MCP Servers overview
# CitedOrNot MCP server Ask your AI assistant whether ChatGPT, Gemini, Perplexity and other AI engines recommend your brand, which competitors they name instead, and what to publish to get named. [CitedOrNot](https://citedornot.com/?ref=github-mcp) checks, on a schedule, whether AI engines name your brand when buyers ask what to buy or who to use. This MCP server lets an assistant such as Claude, Cursor or VS Code read those results directly. > **This repository is documentation only.** The server runs at `https://citedornot.com/mcp` and > is part of the CitedOrNot product; its source code is not published here. This repo exists so > you can see what it does and how to connect to it. ## What you need - A CitedOrNot account on the **Pro or Agency** plan ([plans and prices](https://citedornot.com/pricing?ref=github-mcp)). - A personal MCP token: in CitedOrNot go to **Settings → MCP** and create one. It starts with `mcp_`. New to CitedOrNot? The free check needs no signup: [citedornot.com](https://citedornot.com/?ref=github-mcp). ## What you can ask - "Which of my brands is named least often by the AI engines this month?" - "Show the questions where a competitor was named and we weren't, on Perplexity." - "How do the engines differ in tone about *<brand>*?" - "What should I publish next to get *<brand>* named more often?" - "Which of my agency clients has the lowest visibility?" *(Agency plan)* ## Tools | Tool | What it returns | |---|---| | `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. | Every tool is **read-only**. None of them starts a new scan, uses your scan allowance or changes anything on your account. The live list is also published as a [server card](https://citedornot.com/.well-known/mcp/server-card.json). ## Connect The endpoint is `https://citedornot.com/mcp` (streamable HTTP). Send your token as `Authorization: Bearer <your-token>`, or as `X-API-Key: <your-token>` if your client can't set an Authorization header. There is no OAuth sign-in. ### Claude Code ```bash claude mcp add citedornot --transport http https://citedornot.com/mcp --header "Authorization: Bearer <your-token>" ``` ### Claude.ai / Claude Desktop Settings → Connectors → Add custom connector, paste the URL above. When it asks about authentication choose **None** (this server uses a token, not OAuth), then add a header: - Name: `Authorization` - Value: `Bearer <your-token>` ### Cursor / VS Code / Windsurf Add a remote MCP server with: - URL: `https://citedornot.com/mcp` - Header: `Authorization: Bearer <your-token>` ### Smithery A listing with a token field is on Smithery: [citedornot/ai-visibility](https://smithery.ai/servers/citedornot/ai-visibility). ## Limits and access - 60 requests per minute. - The token works only while the account is on Pro or Agency. It stops working if the plan is downgraded or you deactivate the token under Settings → MCP. - Treat the token like a password. Anyone who has it can read your brands' results. ## Questions [hello@citedornot.com](mailto:hello@citedornot.com) · [citedornot.com](https://citedornot.com/?ref=github-mcp) ## Licence The text in this repository is released under the MIT licence (see `LICENSE`). That covers this documentation only; the CitedOrNot service and its name and logo are not covered by it.
What people ask about citedornot-mcp
What is citedornot/citedornot-mcp?
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citedornot/citedornot-mcp is mcp servers for the Claude AI ecosystem. Docs for the CitedOrNot MCP server: ask your AI assistant which AI engines name your brand, who wins instead, and what to publish. Read-only. It has 0 GitHub stars and its last recorded update is dated 2026-10-12.
How do I install citedornot-mcp?
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You can install citedornot-mcp by cloning the repository (https://github.com/citedornot/citedornot-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is citedornot/citedornot-mcp safe to use?
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Our security agent has analyzed citedornot/citedornot-mcp and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains citedornot/citedornot-mcp?
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citedornot/citedornot-mcp is maintained by citedornot. The last recorded GitHub activity is dated 2026-10-12, with 0 open issues.
Are there alternatives to citedornot-mcp?
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Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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