---
title: "zentrik"
description: "Bring your team's product decisions and customer evidence into AI agents."
canonical: https://agentpluginsdirectory.com/plugins/zentrik
last-updated: 2026-09-22
---

# zentrik
Bring your team's product decisions and customer evidence into AI agents.
- Slug: zentrik
- Publisher: Zentrik
- Repository: https://github.com/Zentrik-AI/agent-plugins
- Manifest: plugin.json
- Version: 1.4.0
- License: Apache-2.0
- Category (editorial): productivity
- Skills: 4 (brief-product-work, import-product-evidence, manage-product-study, set-up-product-workspace)
- MCP servers: 1 (zentrik)
- Stars: 0
- Repository created: 2026-08-06
- Repository last pushed: 2026-08-29
- Publisher type: Organization
- Listing: https://agentpluginsdirectory.com/plugins/zentrik
- Schema: https://agent-plugins.org/schemas/1.0.0/plugin.schema.json

## What zentrik does, in the publisher's words

Connect an AI agent to the product decisions, customer evidence, and product context your team keeps in Zentrik.

The repository root follows the Agent Plugins v1 format and bundles the production Zentrik Streamable HTTP MCP server with four reusable workflows:

- brief-product-work: ground planning, scoping, building, and review in the workspace's existing evidence.
- set-up-product-workspace: inspect a workspace and apply only an approved, bounded setup delta.
- import-product-evidence: capture supplied calls, tickets, reviews, feedback, or research with an approval step before writes.
- manage-product-study: plan, refine, and review a private Study through evidence-grounded draft findings.

The plugin contains no credentials and no local executable code. The MCP server authenticates through Zentrik OAuth, binds each connection to one selected workspace, and enforces the connected user's role and granted scopes.

From the project README, punctuation lightly normalized. Full text: https://raw.githubusercontent.com/Zentrik-AI/agent-plugins/HEAD/README.md

## Skills

- brief-product-work: Brief a piece of work with the product context, customer evidence, and open questions already held in Zentrik. Use when someone is planning, scoping, building, or reviewing something and wants to know what the workspace already knows about it.
- import-product-evidence: Import supplied source material as evidence in Zentrik. Use when the user asks the connected agent to add calls, tickets, reviews, feedback, or research to a connected Zentrik workspace.
- manage-product-study: Create, refine, and review a Zentrik product Study from a learning need through evidence-grounded draft findings. Use when someone wants to plan research, inspect a Study, improve its activities, review response coverage, or synthesize what a Study has taught the team.
- set-up-product-workspace: Inspect and set up a Zentrik workspace from first-party product material. Use when a user wants the connected agent to initialize, repair, populate, or review a connected workspace for ongoing product work.

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

## MCP servers

- zentrik: transport: streamable-http; url: https://zentrik.ai/mcp

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