honeydew-ai
v1.0.3Skills and tools powered by the Honeydew MCP that help coding agents query data and build semantic models
By Honeydew AILicense: Apache-2.01.1k GitHub starsUpdated 15 hours ago
Directory evidence
- Runtimes
- Codex
- Parsed components
- 10 skill or MCP entries
- Source updated
- Sep 23, 2026
- Manifest status
- Canonical path parsed
The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →
Install honeydew-ai for Codex
codex plugin marketplace add IchenDEV/agent-plugin-mkt
codex plugin marketplace upgrade agent-plugin-marketplace
codex plugin add honeydew-ai@agent-plugin-marketplacePaste and run these commands in a terminal with Codex. They add and refresh the PluginsMP catalog, then install this plugin.
The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.
Get the source manually
git clone https://github.com/hashgraph-online/awesome-codex-pluginsClone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is plugins/honeydew-ai/honeydew-ai-coding-agents-plugins/.
Plugin files
├── .codex-plugin/plugin.json├── skills/attribute-creation/SKILL.md├── skills/context-item-creation/SKILL.md├── skills/domain-creation/SKILL.md├── skills/entity-creation/SKILL.md├── skills/filtering/SKILL.md├── skills/metric-creation/SKILL.md├── skills/model-exploration/SKILL.md├── skills/query/SKILL.md├── skills/relation-creation/SKILL.md└── skills/validation/SKILL.md
Included Skills10
Guides you step-by-step through defining a calculated attribute (dimension) on a Honeydew entity. Covers SQL expression building and pushes to Honeydew via the MCP tools.
Guides you through creating context items — instructions, skills, knowledge pointers, and memory events — that give the AI analyst persistent knowledge about your organization. Covers when to create each type, naming conventions, folder organization, and the hard boundary between context (rules and procedures) and the semantic layer (logic and calculations).
Guides you through creating a Honeydew domain — a governance object that scopes entity/field visibility and applies mandatory filters — ideal for setting up contexts for deep analysis.
Guides you through defining a new Honeydew entity from a data warehouse source — covering source type, granularity key, and initial attribute mapping — then pushes to Honeydew via the MCP tools.
Use when the user needs to filter data — whether in a structured query, a metric aggregation, or an attribute expression. Covers filter syntax, date handling, and best practices.
Guides you step-by-step through defining a business metric (aggregation) on a Honeydew entity. Covers SQL expression building and pushes to Honeydew via the MCP tools.
Use when exploring Honeydew semantic layer, discovering entities/fields, setting up workspace and branch context, or querying data. For creating metrics use metric-creation skill. For creating attributes use attribute-creation skill.
Use when the user wants to query, analyze, or explore data through the Honeydew semantic layer. Covers structured queries and multi-step deep analysis.
Guides you through defining a relationship between two Honeydew entities — covering join type, direction, cross-filtering, and connection method — then pushes the updated entity YAML to Honeydew via the MCP tools.
Use after creating or modifying ANY Honeydew object (metric, attribute, entity, domain). Provides type-specific validation logic to ensure objects work correctly and return sensible results.
Plugin manifests1
{
"name": "honeydew-ai",
"version": "1.0.3",
"description": "Skills and tools powered by the Honeydew MCP that help coding agents query data and build semantic models",
"author": {
"name": "Honeydew AI",
"email": "[email protected]",
"url": "https://honeydew.ai"
},
"homepage": "https://honeydew.ai/docs/integration/mcp",
"repository": "https://github.com/honeydew-ai/honeydew-ai-coding-agents-plugins",
"license": "Apache-2.0",
"keywords": [
"semantic-layer",
"data-modeling",
"honeydew",
"analytics",
"data-analysis",
"querying"
],
"skills": "./skills/",
"mcpServers": "./.mcp.json",
"interface": {
"displayName": "Honeydew AI",
"shortDescription": "Query data and build Honeydew semantic models from Codex.",
"longDescription": "Honeydew AI provides Codex skills for exploring semantic models, querying governed data, creating entities, attributes, metrics, relations, and domains, and validating modeling changes through the Honeydew MCP.",
"developerName": "Honeydew AI",
"category": "Productivity",
"capabilities": [
"Interactive",
"Write"
],
"websiteURL": "https://honeydew.ai",
"privacyPolicyURL": "https://honeydew.ai/privacy-policy",
"termsOfServiceURL": "https://honeydew.ai/terms-of-service",
"defaultPrompt": [
"Show me revenue by region for last quarter.",
"Create an orders entity from my warehouse table.",
"Validate the metric I just added."
],
"brandColor": "#04B8A6",
"logo": "./assets/logo.svg"
}
}For maintainers
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[honeydew-ai on Agent Plugins Marketplace](https://pluginsmp.com/plugins/honeydew-ai)