MCP server

AI Search Kit

com.modernmustardseed/ai-search-kit

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Audits AI-crawler access, structured data and llms.txt on a site, and drafts the fixes.

Website

At a glance

Type

MCP server

Publisher

modernmustardseed.com (verified by the MCP Registry)

Status

Working at last check

Tools

5

Token cost

About 3,254 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ai-search-kit https://mcp.modernmustardseed.com/ai-search-kit

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ai-search-kit]
url = "https://mcp.modernmustardseed.com/ai-search-kit"

Gemini CLI

{"mcpServers":{"ai-search-kit":{"httpUrl":"https://mcp.modernmustardseed.com/ai-search-kit"}}}

Cursor

{"mcpServers":{"ai-search-kit":{"url":"https://mcp.modernmustardseed.com/ai-search-kit"}}}

VS Code

{"servers":{"ai-search-kit":{"type":"http","url":"https://mcp.modernmustardseed.com/ai-search-kit"}}}

Antigravity

agy mcp add ai-search-kit https://mcp.modernmustardseed.com/ai-search-kit

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ai-search-kit","server_url":"https://mcp.modernmustardseed.com/ai-search-kit","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ai-search-kit","server_url":"https://mcp.modernmustardseed.com/ai-search-kit"}

Tools

• audit_ai_readiness ~392 tokens
  Audit one public web page for what AI answer engines and their crawlers rely on. Reads the page plus its site's robots.txt, llms.txt and sitemap, then reports: for each AI crawler and control token (OAI-SearchBot, ChatGPT-User, GPTBot, Claude-SearchBot, Claude-User, ClaudeBot, PerplexityBot, Perplex
• check_entity_consistency ~550 tokens
  Compare a business's name, phone, street, city, region and postal code across up to 8 sources, such as its website, Google Business Profile, Facebook page and directory listings. For each source give a url to read (JSON-LD first, then tap-to-call links and page text) and/or the facts shown on it; su
• generate_llms_txt ~624 tokens
  Write an llms.txt file in the llmstxt.org format: an H1 with the site name, a blockquote summary, optional details, H2 sections of "- [title](url): note" links, and an Optional section for secondary pages. Give url to build it from the live site (home page, sitemap, and up to 30 pages' own titles an
• generate_local_business_schema ~1464 tokens
  Turn a local business's facts into schema.org JSON-LD. Chooses the most specific LocalBusiness subtype from business_type (for example "roofing company" becomes RoofingContractor) or takes schema_type as given, writes only properties schema.org defines for that type, formats hours, phone and 24 hour
• validate_structured_data ~224 tokens
  Validate pasted JSON-LD against the schema.org vocabulary (every type, property, domain, range and enumeration value) and Google's documented rules for LocalBusiness and Organization markup: required name and address, recommended properties, hh:mm:ss hours, 5 decimal coordinates, priceRange length,

Browse

• Claude tools
• Facebook tools
• Web scraping
• Website monitoring
• Social media
• Calling other AI models

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