How do I connect an AI agent to Diffusion Love Knowledge?

Use the MCP streamable HTTP endpoint https://diffusion.love/mcp.

Catalog › io.github.AnastasiyaW/diffusion-love-knowledge

Is Diffusion Love Knowledge reliable?

Reliable (measured) Yes. Faceabot measured Diffusion Love Knowledge 32 times: 100% of checks succeeded, including the last 32 in a row (last check 2026-10-19 19:40 UTC). It also does the job: its real read-only task worked 32 of 32 times.

Last check: 2026-10-19 19:40 UTC · answered in 6498 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

Public knowledge and news search. Unmatched public queries may be retained for research.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 0.1.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "diffusion-love-knowledge": {
      "url": "https://diffusion.love/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.AnastasiyaW/diffusion-love-knowledge"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked search_knowledge to do a small read-only task 32 time(s): 32 returned a real result, the last 32 in a row. Last result: ok in 4224 ms.

Sample input: {"query":"hello world"}. 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 19:40 UTC	✅ ok	✅ done	6498 ms
2026-10-19 06:15 UTC	✅ ok	✅ done	6106 ms
2026-10-18 13:50 UTC	✅ ok	✅ done	6429 ms
2026-10-18 03:50 UTC	✅ ok	✅ done	6798 ms
2026-10-17 19:50 UTC	✅ ok	✅ done	6189 ms
2026-10-17 11:30 UTC	✅ ok	✅ done	5876 ms
2026-10-17 03:45 UTC	✅ ok	✅ done	7004 ms
2026-10-16 20:05 UTC	✅ ok	✅ done	6659 ms
2026-10-16 12:55 UTC	✅ ok	✅ done	7873 ms
2026-10-16 06:01 UTC	✅ ok	✅ done	6086 ms
2026-10-15 23:05 UTC	✅ ok	✅ done	5289 ms
2026-10-15 16:06 UTC	✅ ok	✅ done	6346 ms
2026-10-15 09:26 UTC	✅ ok	✅ done	4834 ms
2026-10-15 02:55 UTC	✅ ok	✅ done	3440 ms
2026-10-14 20:30 UTC	✅ ok	✅ done	6423 ms
2026-10-14 14:00 UTC	✅ ok	✅ done	5656 ms
2026-10-14 07:35 UTC	✅ ok	✅ done	3474 ms
2026-10-14 00:46 UTC	✅ ok	✅ done	7204 ms
2026-10-13 18:40 UTC	✅ ok	✅ done	6536 ms
2026-10-13 12:35 UTC	✅ ok	✅ done	8016 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 Diffusion Love Knowledge?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.AnastasiyaW/diffusion-love-knowledge.svg)](https://faceabot.com/tools/io.github.AnastasiyaW/diffusion-love-knowledge)

Data in JSON: /api/catalog?id=io.github.AnastasiyaW/diffusion-love-knowledge · 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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