ktx-ai-data-agents
OfficialMake analytics queries accurate with ktx context
Data & Analytics#mcp#data warehouse#semantic layer#wiki knowledge#ktx#sql query generation#metrics resolution
AuthorAradotso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
ktx fixes the problem of AI agents generating incorrect or inconsistent SQL by giving them a verified context layer built from your metrics, wiki knowledge, and semantic layer so they query your warehouse accurately.
Core Features & Use Cases
- Builds agent-ready data context: Learns from wiki content, deduplicates, and flags contradictions to anchor answers in approved business definitions.
- Creates a semantic layer for safe querying: Generates canonical metrics, resolves joins, and handles tricky join paths (chasm/fan traps) so agents use consistent, correct logic.
- Exposes MCP tools and CLI for end-to-end workflows: Supports semantic search and context-aware query execution for scenarios like revenue reporting, KPI explanation, and metric resolution.
Quick Start
Run ktx setup to configure your warehouse connections and build the initial context used by your AI agents.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ktx-ai-data-agents Download link: https://github.com/Aradotso/mcp-skills/archive/main.zip#ktx-ai-data-agents Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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