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MiniAgent

MCP Tool

itallstartedwithaidea/MiniAgent

The Cowork Agent for Everything — trainable advertising AI + 14 platform MCP servers + agent skills. Based on minimind (42k stars). Train from zero in 2 hours.

Install

$ npx loaditout add itallstartedwithaidea/MiniAgent

Platform-specific configuration:

.claude/settings.json
{
  "mcpServers": {
    "MiniAgent": {
      "command": "npx",
      "args": [
        "-y",
        "MiniAgent"
      ]
    }
  }
}

Add the config above to .claude/settings.json under the mcpServers key.

About

<div align="center">

MiniAgent
The Cowork Agent for Everything. Train from Zero. Run Everywhere.

English | 中文 | Русский | Italiano | Español

[](LICENSE) [](https://python.org) [](https://modelcontextprotocol.io) [](https://code.claude.com) [](https://ollama.ai) [](https://vllm.ai)

Train your own advertising AI from scratch. 2 hours. One GPU. Your data.

The hello world of domain-specific agent training — for practitioners, by a practitioner.

42k+ stars on the base model (minimind) · 14 ad platforms · 29 MCP tools · 5 Claude Code skills · One repo.

</div>

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What Is This?

MiniAgent is three things in one repo:

  1. A trainable advertising AI — Fork of minimind (Apache 2.0, 42k stars) retrained on advertising domain data. 26M-104M parameters. Train it yourself in 28 minutes on a single GPU for ~$0.13. Trained models: MiniAgent-104M · MiniAgent-26M. The model learns GAQL, campaign structure, bid strategy, PPC math, cross-platform terminology, and creative analysis across 60+ advertising platforms.
  1. A production MCP server ecosystem — 14 ad platform connectors (Google, Meta, Microsoft, Amazon, Reddit, TradeDesk, LinkedIn, Criteo, AdRoll, TikTok, Snapchat, P

Tags

advertisingagent-skillsai-agentsclaude-codecross-platformgoogle-adsllmmcpmeta-adsminimindmodel-context-protocolollamappctrainingvllm

Reviews

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Quality Signals

1
Stars
0
Installs
Last updated29 days ago
Security: AREADME

Safety

Risk Levelmedium
Data Access
read
Network Accessnone

Details

Sourcegithub-crawl
Last commit3/23/2026
View on GitHub→

Embed Badge

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