Get accurate AI agent queries with ktx. For founders using MCP and AI agents like Claude Code and Codex.
800 stars44 forksTypeScriptUpdated 6/2/2026100% free Β· open source
What it does
Ktx-ai-data-agents-context enables accurate AI agent queries by providing a context layer for data and analytics agents, allowing seamless integration with AI agents like Claude Code and Codex through MCP.
When to use it
β’When you need to query data accurately using AI agents like Claude Code or Codex
β’When integrating multiple AI agents with your MCP server requires a unified context layer
β’When your data analytics require a semantic layer for better understanding and decision-making
Quick start
1Install ktx-ai-data-agents-context using npm or yarn by running the command `npm install ktx-ai-data-agents-context` or `yarn add ktx-ai-data-agents-context`
2Import ktx in your TypeScript project and initialize it with your MCP server credentials
3Define skills and memory for your AI agents using ktx's context layer
4Test your AI agent queries using ktx's semantic layer for accurate results
Ready-to-paste prompt
Run `ktx.init({ mcpServerUrl: 'https://your-mcp-server.com', apiKey: 'YOUR_API_KEY' });` to initialize ktx with your MCP server credentials
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
Quick Actions
Details
Creator
Kaelio
Language
TypeScript
Category
mcp-server
Published
5/10/2026
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