How do I connect an AI agent to Great Library Project?

Use the MCP streamable HTTP endpoint https://greatlibraryproject.com/mcp.

Catalog › com.greatlibraryproject/library

Is Great Library Project reliable?

Reliable (measured) Yes. Faceabot measured Great Library Project 6 times: 100% of checks succeeded, including the last 6 in a row (last check 2026-10-19 20:30 UTC). It also does the job: its real read-only task worked 6 of 6 times.

Last check: 2026-10-19 20:30 UTC · answered in 7820 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Free classics as interlinears: search the books, read any passage word by word, look up any word.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "library": {
      "url": "https://greatlibraryproject.com/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.greatlibraryproject/library"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked list_books to do a small read-only task 6 time(s): 6 returned a real result, the last 6 in a row. Last result: ok in 3468 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 20:30 UTC	✅ ok	✅ done	7820 ms
2026-10-19 07:30 UTC	✅ ok	✅ done	7161 ms
2026-10-18 14:55 UTC	✅ ok	✅ done	6492 ms
2026-10-18 04:25 UTC	✅ ok	✅ done	5300 ms
2026-10-17 20:25 UTC	✅ ok	✅ done	4754 ms
2026-10-17 12:00 UTC	✅ ok	✅ done	5570 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of Great Library Project?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.greatlibraryproject/library.svg)](https://faceabot.com/tools/com.greatlibraryproject/library)

Data in JSON: /api/catalog?id=com.greatlibraryproject/library · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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