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GenReady

Official registry Search and web

Scan a website for AI search and agent readiness, then get a fix checklist for your agent.

Source code Website Documentation

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http genready 'https://genready.ai/mcp' --header 'Authorization: <Bearer gr_live_... (create a key at https://genready.ai/api-keys)>'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "genready": {
            "type": "http",
            "url": "https://genready.ai/mcp",
            "headers": {
                "Authorization": "<Bearer gr_live_... (create a key at https://genready.ai/api-keys)>"
            }
        }
    }
}
NPM package @genready/mcp-server
Claude Code 
claude mcp add genready -e 'GENREADY_API_KEY=<your genready_api_key>' -- npx -y @genready/mcp-server@1.2.5
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "genready": {
            "command": "npx",
            "args": [
                "-y",
                "@genready/mcp-server@1.2.5"
            ],
            "env": {
                "GENREADY_API_KEY": "<your genready_api_key>"
            }
        }
    }
}

Environment variables

  • GENREADY_API_KEY required secret GenReady API key. Create one at https://genready.ai/api-keys

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. @genready/mcp-server
  2. 1. Get an API key
  3. 2. Connect
  4. 3. Ask
  5. Tools
  6. Environment variables (stdio)
  7. Links
  8. Support and contributing

@genready/mcp-server

Connect GenReady to your AI assistant or coding agent. Scan any page for readiness to be cited by AI search engines and used by AI agents, then hand the fix checklist straight to your agent.

1. Get an API key

Create one at genready.ai/api-keys. To read site-wide fix plans, enable Read site data (domain:read) when you create it.

2. Connect

Any client that supports remote MCP servers over Streamable HTTP can connect directly:

  • URL: https://genready.ai/mcp
  • Header: Authorization: Bearer gr_live_your_key_here

Claude Code:

claude mcp add --transport http genready https://genready.ai/mcp \
  --header "Authorization: Bearer gr_live_your_key_here"

Cursor (.cursor/mcp.json):

{
  "mcpServers": {
    "genready": {
      "url": "https://genready.ai/mcp",
      "headers": { "Authorization": "Bearer gr_live_your_key_here" }
    }
  }
}
Local command (stdio)

For clients that only launch local commands, such as Claude Desktop:

{
  "mcpServers": {
    "genready": {
      "command": "npx",
      "args": ["-y", "@genready/mcp-server"],
      "env": { "GENREADY_API_KEY": "gr_live_your_key_here" }
    }
  }
}

This package forwards to the hosted endpoint, so both options expose the same tools.

3. Ask

Scan https://example.com for AI readiness and fix what you can in this repo.

Tools

ToolWhat it doesCredits
analyze_websiteScan a URL. Returns scores and the fix checklist. scope: full, content, crawlability.1 per scan
get_reportRead a stored report by ID, including its fix checklist.Free
check_statusProgress of a scan that did not finish, or was started with wait: false.Free
list_reportsYour past reports, with filters for URL and status.Free
get_findingsThe fix list for a page or a site, with stable ids.Free
verify_findingsRe-check findings against the live site after you deploy a fix (Pro and Agency).Free
update_findingRecord that a finding is fixed, pending, or ignored.Free
get_artifactGenerate a robots.txt, llms.txt or JSON-LD file that fixes a finding.Free
start_site_analysisScan a whole site (needs site:analyze). Capped at 25 pages over OAuth.1 per page
get_usagePlan, credits used and remaining.Free
list_domainsYour monitored domains (needs domain:read).Free
get_fix_planRanked site-wide fixes from a domain's latest site analysis (needs domain:read).Free

The fix checklist is included on Pro and Agency plans. On other plans, reports say it is locked.

Environment variables (stdio)

VariableRequiredDescription
GENREADY_API_KEYYesYour API key (starts with gr_live_)
GENREADY_MCP_URLNoHosted MCP endpoint (default https://genready.ai/mcp)

Support and contributing

  • Found a bug or a wrong tool description? Open an issue. Include the tool name, what you asked, and the error text.
  • Questions about your account or plan: genready.ai/support.
  • This repository is a published copy of the MCP server that lives in the GenReady monorepo. See CONTRIBUTING.md before you open a pull request.

Frequently asked questions

What is GenReady?

Scan a website for AI search and agent readiness, then get a fix checklist for your agent.

How do I install GenReady?

It runs as a remote server. In Claude Code: claude mcp add --transport http genready 'https://genready.ai/mcp' --header 'Authorization: <Bearer gr_live_... (create a key at https://genready.ai/api-keys)>'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does GenReady need an API key?

Yes. It expects GENREADY_API_KEY, Authorization, which you set in its configuration.

Is GenReady open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains GenReady?

It is published by odb366. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.