mcpField
A

AI Agent Search Optimization

Local
@SeyitKaanGunesBusiness & Marketing

About AI Agent Search Optimization

Audit AI search readiness, generate llms.txt drafts, and build GEO/AEO prompt matrices for websites

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "seyitkaangunes-ai-agent-search-optimization": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-ai-agent-search-optimization"
      ]
    }
  }
}
Run commandnpx -y mcp-server-ai-agent-search-optimization

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-server-ai-agent-search-optimization0.1.1

Tools

3

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
urlstringYesWebsite URL to audit. Only http and https URLs are supported.
brandstringNoOptional brand/entity name to check in crawlable page text.
agentsarrayNoOptional crawler user agents to check against robots.txt.
formatenumNoOutput format. Defaults to json.json | markdown

Details

The maintainer has not added details yet. Check the README in the repository.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.