How do I connect an AI agent to I2IDL Glossary of Digital Learning?

Use the MCP streamable HTTP endpoint https://id.i2idl.org/mcp.

Catalog › io.github.blakeplock/i2idl-glossary

Is I2IDL Glossary of Digital Learning reliable?

Reliable (measured) Yes. Faceabot measured I2IDL Glossary of Digital Learning 14 times: 100% of checks succeeded, including the last 14 in a row (last check 2026-10-19 13:01 UTC). It also does the job: its real read-only task worked 14 of 14 times.

Last check: 2026-10-19 13:01 UTC · answered in 8330 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 read-only MCP access to digital learning concepts, semantic relationships, and citations.

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

Connect your agent

{
  "mcpServers": {
    "i2idl-glossary": {
      "url": "https://id.i2idl.org/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"io.github.blakeplock/i2idl-glossary"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked search_concepts to do a small read-only task 14 time(s): 14 returned a real result, the last 14 in a row. Last result: ok in 4094 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 13:01 UTC	✅ ok	✅ done	8330 ms
2026-10-18 21:00 UTC	✅ ok	✅ done	7251 ms
2026-10-18 07:30 UTC	✅ ok	✅ done	6282 ms
2026-10-17 23:40 UTC	✅ ok	✅ done	5047 ms
2026-10-17 15:25 UTC	✅ ok	✅ done	6597 ms
2026-10-17 07:20 UTC	✅ ok	✅ done	6011 ms
2026-10-16 23:30 UTC	✅ ok	✅ done	7267 ms
2026-10-16 16:21 UTC	✅ ok	✅ done	8855 ms
2026-10-16 09:20 UTC	✅ ok	✅ done	6814 ms
2026-10-16 02:25 UTC	✅ ok	✅ done	7041 ms
2026-10-15 19:25 UTC	✅ ok	✅ done	10312 ms
2026-10-15 12:41 UTC	✅ ok	✅ done	4831 ms
2026-10-15 06:05 UTC	✅ ok	✅ done	3363 ms
2026-10-14 23:30 UTC	✅ ok	✅ done	4037 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 I2IDL Glossary of Digital Learning?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/io.github.blakeplock/i2idl-glossary.svg)](https://faceabot.com/tools/io.github.blakeplock/i2idl-glossary)

Data in JSON: /api/catalog?id=io.github.blakeplock/i2idl-glossary · 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

Best tool by topic · Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Reliability data · Faceabot app · Faceabot → AI assistants · What AI agents cannot find yet · Add Faceabot to your AI · Badge for tool publishers · Help · Privacy · Terms