Borrowing it
Nothing to install: this file belongs to bestaiinsider/ai-visibility-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bestaiinsider/ai-visibility-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/bestaiinsider/ai-visibility-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/bestaiinsider/ai-visibility-mcp/claude-md)<a href="https://agentmods.dev/instructions/bestaiinsider/ai-visibility-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bestaiinsider/ai-visibility-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/bestaiinsider/ai-visibility-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/bestaiinsider/ai-visibility-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00870 | $0.00870 |
| Opus 5 | $0.00435 | $0.00435 |
| Sonnet 5 | $0.00174 | $0.00174 |
| Haiku 4.5 | $0.00087 | $0.00087 |
Grade A, and why
ai-visibility-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-Visibility MCP — Project Instructions
Project-scoped CLAUDE.md. User-scope durable rules at
~/.claude/CLAUDE.mdstill apply. Project tracker / lifecycle / decisions live in vault:~/Documents/Vault/02 Projects/ai-visibility-mcp.md
What this builds
A paid Model Context Protocol server that exposes AI-search-visibility data: which AI bots can read a site, whether brands surface in LLM-generated answers, and whether Cloudflare's AI-bot defaults are accidentally blocking the site from AI search.
Tools the MCP exposes (target API)
check_ai_bot_access(domain)— robots.txt + headers per-botcheck_llm_mention(brand, query)— does the brand surface in Perplexity / Tavily / OpenRouter LLM answersaudit_ai_visibility(domain)— composite reportcompare_competitors(your_domain, competitor_domains)— side-by-sidetrack_changes(domain)— diff over time (v2, needs persistence)
Stack
- Language: Python 3.10+ (FastMCP)
- Package mgmt:
uv - Dependencies:
fastmcp,httpx,python-dotenv,pyyaml - External APIs (credentials in
~/Setup/credentials.md):- Perplexity (LLM-aware search)
- Tavily (LLM-grounded web search)
- OpenRouter (cross-model LLM checks: Claude, GPT, Gemini)
- Firecrawl (page scrape for tag/structured-data audit)
- Transport: stdio + HTTP (FastMCP supports both)
Build phase order
- Skeleton +
check_ai_bot_access(offline-ish, just HTTP requests) audit_ai_visibilitycompositecheck_llm_mention(uses Perplexity + OpenRouter)compare_competitors- README + listing on Smithery / mcp.so / Glama (free)
- Paid backend via MCPize (gated tools behind license key)
- Direct customer-facing audit subscription (separate web app, reuses MCP backend)
Test before claim
Three real domains for E2E tests:
tealhq.com(known-AI-friendly)bandcamp.com(known to block aggressively)- Whatever Kris's primary domain ends up being
Each tool must produce output against all three before being marked done.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 83 lines · 870 tokens per session scan A 8797f0918e6d
ai-visibility-mcp CLAUDE.md is an instructions file published in the GitHub repository bestaiinsider/ai-visibility-mcp (1 stars, last pushed 3mo ago), licensed MIT. It adds 870 tokens to every session, about $0.0043 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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