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growth-engineer
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growth-engineer

Active·★ 252·MIT·Updated 2026-10-16

growth.engineer is an open-source catalog that translates go-to-market tools and workflows into agent-runnable markdown files. It enables AI agents like Claude and ChatGPT to access company functions and execute multi-step marketing plays directly from structured documentation.

growth-engineer sits in the Workflow Automation category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Provides an open-source catalog of go-to-market companies and their callable functions.. A representative use case is Automating lead enrichment and outbound campaigns using AI agents that leverage cataloged tools.. The listed license is MIT. GitHub stars are currently 252. Relevant tags include AI Agents, Workflow Automation.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#AI Agents#Workflow Automation#Go-to-market#API Catalog#Marketing Tools#Next.js#Open Source
$ Install
$ git clone https://github.com/GetBrew/growth-engineer.git && cd growth-engineer && pnpm install && pnpm dev
↗ Visit site★ GitHub
01

Features

01Provides an open-source catalog of go-to-market companies and their callable functions.
02Defines workflows that chain multiple functions into complete, runnable marketing plays.
03Stores all entries (companies, tools, workflows) as agent-readable markdown files.
04Offers direct integration with various AI agents (e.g., Claude, ChatGPT) via an MCP server or file fetching.
05Supports community contributions to expand and maintain the catalog of tools and workflows.
02

Why choose it

+Provides an open-source catalog of go-to-market companies and their callable functions.
+Defines workflows that chain multiple functions into complete, runnable marketing plays.
+Automating lead enrichment and outbound campaigns using AI agents that leverage cataloged tools.
+Supports 5 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

AI Agents (Claude, ChatGPT, Cursor, Codex)
Integration
Verified via docs
Next.js
Framework
Verified via docs
Node.js
Runtime
Verified via docs
MCP Server
Protocol
Verified via docs
Markdown
Format
Verified via docs
05

Quick start

1
$ git clone https://github.com/GetBrew/growth-engineer.git
2
$ cd growth-engineer
3
$ pnpm install
4
$ pnpm dev
06

Use cases

↳Automating lead enrichment and outbound campaigns using AI agents that leverage cataloged tools.
↳Providing AI agents with structured and up-to-date access to various marketing and sales APIs.
↳Enabling agents to execute complex, multi-step go-to-market strategies directly from human-readable workflow definitions.
↳Sharing and deploying proven growth plays and marketing automations across different AI agent platforms.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
GetBrew /
growth-engineer
↗

Open-source catalog of go-to-market tools and workflows, written as markdown files any agent can run. Includes a read-only MCP server.

252MIT
Last commit6d ago
StatusActive
CategoryWorkflow Automation
Links
Documentation↗Discussion↗Issues↗Releases↗
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