Get accurate data queries with ktx, for founders using AI agents like Claude and Codex.
intermediateโฑ 1-2 hours๐ต Free tier + paid plans for LLM API usage.
1,492 stars93 forksTypeScriptQuality 9/10Updated 7/12/2026100% free ยท open source
What it is
Use ktx to run AI queries accurately on data.
What you can make with it
Automations like: when a customer buys from Amazon, automatically update a Google Sheets report with the purchase details.
How it helps
ktx helps ensure accurate AI queries by providing a clear data context and structure, avoiding confusion or incorrect answers.
Real use case example
"A founder like Rachel who wants to track sales data can use ktx to set up an automation: first, connect ktx to an Amazon product data feed, then use a Claude agent to query the data and update a Google Sheets spreadsheet, lastly, schedule the task to run daily."
If you're new
Pick this up when learning basic AI query automation.
If you're senior
Senior engineers and professionals will use this for high-stakes AI query applications.
Common confusion cleared up
ktx is not a replacement for your AI agent, but rather a layer to improve the accuracy of your AI queries.
Best inside these AI tools
Claude DesktopCodex CLIAny AI Client
Pairs with
Claude APINotion databaseGoogle Sheets
Why we list it on WorkflowStacks: The marketplace includes ktx as a tool for running accurate AI queries with popular AI agents like Claude and Codex, saving time and effort for founders.
What it does
This tool enables founders to build smarter data analytics agents that can query data accurately using AI-powered business intelligence tools with semantic memory and skills
When to use it
โขWhen you need to integrate AI agents with your data analytics platform for more precise querying
โขWhen you want to leverage semantic memory to improve the accuracy of your data analytics
โขWhen you need to build custom data analytics agents with specific skills for your business intelligence tools
Quick start
1Install the ktx-ai-data-agents-mcp-context-skills library using npm or yarn
2Set up your MCP server and configure the ktx context layer
3Define your data analytics agent's skills and semantic memory using TypeScript
4Use the ktx library to query your data and leverage the AI agent's capabilities
Ready-to-paste prompt
const ktx = require('ktx-ai-data-agents-mcp-context-skills'); const agent = new ktx.Agent(); agent.query('What is the total revenue for the current quarter?', (err, result) => { console.log(result); });
Saves to your device
Topics
agent
agent-skills
agents
ai-agent
ai-agents
analytics
analytics-engineering
business-intelligence
claude
claude-code
claude-skills
codex
context-layer
data-analysis
data-engineering
llm
mcp
memory
semantic-layer
skills
What's inside โ free to inspect
No purchase needed
Read the entire source before you build โ unlike paid marketplaces that hide it behind a buy button.