---
title: "kdbie-knowledge"
description: "KX Insights Enterprise workflows: kxi CLI administration (package build/deploy, install/upgrade, logs) and Stream Processor pipeline authoring"
canonical: https://agentpluginsdirectory.com/plugins/kdbie-knowledge
last-updated: 2026-10-21
---

# kdbie-knowledge
KX Insights Enterprise workflows: kxi CLI administration (package build/deploy, install/upgrade, logs) and Stream Processor pipeline authoring
- Slug: kdbie-knowledge
- Publisher: KX
- Repository: https://github.com/KxSystems/kx-skills
- Manifest: plugins/kdbie-knowledge/plugin.json
- Version: 0.1.1
- Category (editorial): devops-cloud
- Skills: 2 (kdbie-dev, pipeline-dev)
- MCP servers: 1 (kx-docs-mcp)
- Stars: 21
- Repository created: 2026-05-20
- Repository last pushed: 2026-10-15
- Publisher type: Organization
- Listing: https://agentpluginsdirectory.com/plugins/kdbie-knowledge
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## Skills

- kdbie-dev: Use this skill when the user is working with KX Insights Enterprise (IE), managing packages or deployments via the `kxi` CLI, or handling IE installation and upgrades via Helm/Kubernetes.
- pipeline-dev: Write kdb Stream Processor (SP) pipelines in q or Python. Use this skill whenever the user asks to build, create, or write a pipeline, connect readers/writers/operators, set up streaming ingestion, configure Kafka/S3/database connectors, add windowing or ML operators, or asks about.qsp.* / sp.* AP…

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.

## MCP servers

- kx-docs-mcp: transport: streamable-http; url: https://kx2.mcp.kapa.ai

Read from the plugin's own mcp.json. Environment variable names only, never values.