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mcp-server

ktx-ai-data-agents-context: Accurate AI queries

Get accurate AI agent queries with ktx. For founders using MCP and AI agents like Claude Code and Codex.
intermediateโฑ 30 minutes๐Ÿ’ต Free tier + paid plans
1,489 stars93 forksTypeScriptUpdated 7/12/2026100% free ยท open source
What it is

Use the ktx-ai-data-agents skill to help AI agents like Claude Code and Codex query data accurately.

What you can make with it

Custom data integrations like pulling product data from Amazon and sending it to Notion.

How it helps

This skill ensures AI agents get accurate data to inform their decisions and actions, making them more reliable and efficient.

Real use case example

"A founder, Sarah, wants to track sales performance on her Amazon store. She sets up ktx-ai-data-agents to pull product data from Amazon and send it to Notion, where she can analyze and visualize it. She can now make data-driven decisions to optimize her sales strategy."

If you're new

Beginners should start with simple data integrations using pre-built connectors, but this skill is best suited for intermediate users.

If you're senior

Senior engineers and professionals will likely use this skill to customize data integration pipelines for specific AI agents and applications.

Common confusion cleared up

This skill is distinct from basic data integration tools, requiring a deeper understanding of AI agents and their query requirements.

Best inside these AI tools
Claude DesktopClaude CodeCodex CLI
Pairs with
Stripe webhookNotion databaseClaude API
Why we list it on WorkflowStacks: ktx-ai-data-agents is included in this marketplace because it fills a gap in MCP server capabilities for data and analytics agents.
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
  • โ€ขWhen you need to query data accurately using AI agents like Claude Code or Codex
  • โ€ขWhen integrating multiple AI agents with your MCP server requires a unified context layer
  • โ€ขWhen your data analytics require a semantic layer for better understanding and decision-making
Quick start
  1. 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`
  2. 2Import ktx in your TypeScript project and initialize it with your MCP server credentials
  3. 3Define skills and memory for your AI agents using ktx's context layer
  4. 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
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.

23
top-level files
9
folders
9.9M
repo size
Apache-2.0
license
Key files
.pre-commit-config.yaml
AGENTS.md
package.json
README.md
skills.sh.json
tsconfig.base.json
File tree
.github/
assets/
docs/
docs-site/
examples/
packages/
python/
scripts/
skills/
.gitignore
.pre-commit-config.yaml
.releaserc.cjs
AGENTS.md
biome.json
CLAUDE.md
codecov.yml
conductor.json
CONTRIBUTING.md
GEMINI.md
knip.json
LICENSE
package.json
pnpm-lock.yaml
pnpm-workspace.yaml
Quick Actions
Details
Creator
Kaelio
Language
TypeScript
Category
mcp-server
Published
5/10/2026

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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