I2IDL Glossary of Digital Learning

Public read-only MCP access to digital learning concepts, semantic relationships, and citations.

Should I use this

Quality & Safety

A
Description quality
95%
Schema completeness
100%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~437Tokens (tool definitions)
~699 BTypical response size
Minimal attention impact (0.34% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

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

Remote endpoints

https://id.i2idl.org/mcpstreamable-http

What it can do

Tool inventory

Tools (4)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢search_concepts(query, limit)

Search published I2IDL glossary concepts; returns identifiers and canonical URLs.

Input Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Search text",
      "minLength": 1,
      "maxLength": 160
    },
    "limit": {
      "type": "integer",
      "description": "Maximum results",
      "minimum": 1,
      "maximum": 20
    }
  },
  "required": [
    "query"
  ],
  "additionalProperties": false
}
🟢get_concept(id)

Retrieve a glossary concept, definition, references and metadata.

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Canonical concept slug",
      "minLength": 1,
      "maxLength": 160
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}
🟢get_relationships(id)

Retrieve broader, narrower and related concepts with their canonical identifiers.

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Canonical concept slug",
      "minLength": 1,
      "maxLength": 160
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}
🟢get_context(id, depth, maxRelated)

Retrieve a bounded, citation-preserving semantic context bundle suitable for grounding AI responses.

Input Schema

{
  "type": "object",
  "properties": {
    "id": {
      "type": "string",
      "description": "Canonical concept slug",
      "minLength": 1,
      "maxLength": 160
    },
    "depth": {
      "type": "integer",
      "description": "0 or 1 hop",
      "minimum": 0,
      "maximum": 1
    },
    "maxRelated": {
      "type": "integer",
      "description": "Maximum neighbors",
      "minimum": 0,
      "maximum": 20
    }
  },
  "required": [
    "id"
  ],
  "additionalProperties": false
}

Community

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Evidence

Recent observations

verifiedversion not recorded4 tools