How do I connect an AI agent to Valluvakural?

Use the MCP streamable HTTP endpoint https://kural-mcp.valluvakuralsupport.workers.dev/mcp.

Catalog › io.github.Kenboe/kural-ai

Is Valluvakural reliable?

Reliable (measured) Yes. Faceabot measured Valluvakural 41 times: 100% of checks succeeded, including the last 41 in a row (last check 2026-10-19 21:10 UTC). It also does the job: its real read-only task worked 41 of 41 times.

Last check: 2026-10-19 21:10 UTC · answered in 7448 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

Valluvakural (Valluvarkural) — Thirukkural wisdom lens: verified couplets, quote checks.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 2.2.2 · publisher website

Connect your agent

{
  "mcpServers": {
    "kural-ai": {
      "url": "https://kural-mcp.valluvakuralsupport.workers.dev/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.Kenboe/kural-ai"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked kural_guidance to do a small read-only task 41 time(s): 41 returned a real result, the last 41 in a row. Last result: ok in 1212 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 21:10 UTC	✅ ok	✅ done	7448 ms
2026-10-19 08:31 UTC	✅ ok	✅ done	8014 ms
2026-10-18 15:45 UTC	✅ ok	✅ done	7090 ms
2026-10-18 04:50 UTC	✅ ok	✅ done	7554 ms
2026-10-17 20:55 UTC	✅ ok	✅ done	4575 ms
2026-10-17 12:25 UTC	✅ ok	✅ done	7011 ms
2026-10-17 04:45 UTC	✅ ok	✅ done	9236 ms
2026-10-16 21:05 UTC	✅ ok	✅ done	5775 ms
2026-10-16 13:55 UTC	✅ ok	✅ done	6026 ms
2026-10-16 06:55 UTC	✅ ok	✅ done	8320 ms
2026-10-16 00:05 UTC	✅ ok	✅ done	6685 ms
2026-10-15 17:11 UTC	✅ ok	✅ done	9476 ms
2026-10-15 10:26 UTC	✅ ok	✅ done	5191 ms
2026-10-15 03:55 UTC	✅ ok	✅ done	3274 ms
2026-10-14 21:30 UTC	✅ ok	✅ done	7635 ms
2026-10-14 15:00 UTC	✅ ok	✅ done	5323 ms
2026-10-14 08:35 UTC	✅ ok	✅ done	3442 ms
2026-10-14 01:46 UTC	✅ ok	✅ done	10187 ms
2026-10-13 19:40 UTC	✅ ok	✅ done	8674 ms
2026-10-13 13:35 UTC	✅ ok	✅ done	9639 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.

Find tools similar to Valluvakural →

Publisher of Valluvakural?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.Kenboe/kural-ai.svg)](https://faceabot.com/tools/io.github.Kenboe/kural-ai)

Data in JSON: /api/catalog?id=io.github.Kenboe/kural-ai · 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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