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AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server

6-category AI readiness, Schema.org, robots.txt, /llms.txt & 25k-token audit + auto-fix MCP server

AnswerRail AEO, Schema.org & /llms.txt Audit MCP scores 27 (Limited), licensed MIT and written in JavaScript. It can be reached as a remote MCP endpoint. It does not declare tools yet. Filed under Web scraping, AI and memory. GitHub shows 0 stars. Install configs are generated for 10 clients. Being listed in the registry is not the same as being vendor-official.

by quitegoodprojectMITJavaScript0 stars
Trust score
27Limited
Trust score 27 of 100, Limited

Limited trust

27 of 100 from six public signals. Nobody can buy a point.

  • OSI-style license: mit.
How we score trust
Scorecard

License, quality and maintenance

How grades work
Trust breakdown

Where the 27 comes from

0 + 6 + 0 + 10 + 4 + 7 = 27. Each factor is capped, so no single signal can carry a listing.

Registry0 / 30

Active in the official MCP registry, plus a known vendor namespace.

Registry: 0 of 30 points.
Maintenance6 / 20

How recently the repository saw a commit or release.

Maintenance: 6 of 20 points.
Popularity0 / 20

GitHub stars and weekly downloads, on a log scale.

Popularity: 0 of 20 points.
License10 / 10

A clear, OSI-style open-source license.

License: 10 of 10 points.
Security4 / 10

Not archived, a secure install path, a pinned version.

Security: 4 of 10 points.
Docs7 / 10

A real summary, a README with depth, listed tools.

Docs: 7 of 10 points.

Install

Pick your client, copy the config, paste it in.

~/Library/Application Support/Claude/claude_desktop_config.json
{  "mcpServers": {    "quitegoodproject-answerrail-mcp": {      "command": "npx",      "args": [        "-y",        "answerrail-mcp@1.2.7"      ]    }  }}

Environment variables

This server does not declare environment variables.

Tools show up when the registry metadata or the repository README lists them. Public READMEs are read directly. A GitHub token is used only when one is already configured.

About

Enables auditing URLs for AI crawler readiness, including 25,000-token RAG truncation, /llms.txt discovery, Lighthouse 13.5 ard-schema compliance, and JSON-LD entities, plus generating manifests and clean Byte-0 Markdown inside MCP clients.

Frequently asked questions

What is AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server?

6-category AI readiness, Schema.org, robots.txt, /llms.txt & 25k-token audit + auto-fix MCP server

How do I install AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server in Claude Desktop, Cursor, or VS Code?

Pick your client in the Install section on this page and copy the generated config into the client's config file. Step-by-step guides: Claude Desktop, Cursor, and VS Code. AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server runs locally from the npm package answerrail-mcp with the command npx -y answerrail-mcp@1.2.7.

Is AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server free and open source?

Yes. AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server is released under the MIT license, an OSI-approved open-source license, so you can use, modify, and self-host it under those terms.

Does AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server support remote (HTTP) connections?

Yes. AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server offers a hosted endpoint over Streamable HTTP, so HTTP-capable clients can connect to it without running anything locally.

How is AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server's trust score calculated?

AnswerRail AEO, Schema.org & /llms.txt Audit MCP Server scores 27 out of 100 (Limited). The score adds six capped public signals: registry status, maintenance, popularity, license, documentation, and security. Nobody can pay for points. Read the methodology for the full formula.

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