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MiniAgent MCP Server

itallstartedwithaidea/MiniAgent

Score: 42.2 Rank #107 MCP Server
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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.

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Overview

itallstartedwithaidea/MiniAgent is a Python MCP server. 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. Topics: advertising, agent-skills, ai-agents, claude-code, cross-platform, google-ads, llm, mcp, meta-ads, minimind, model-context-protocol, ollama, ppc, training, vllm.

Ranked #107 out of 109 indexed tools.

Actively maintained with commits in the last week.

Ecosystem

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

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 0%

0/2 issues closed → many open issues

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License NOASSERTION

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Issue Health high impact

You have 2 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

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Matched Queries

"mcp server""mcp-server"

From the README

<div align="center">

# MiniAgent

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

[English](./README.md) | [中文](./locales/zh/README.md) | [Русский](./locales/ru/README.md) | [Italiano](./locales/it/README.md) | [Español](./locales/es/README.md)

**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](https://github.com/jingyaogong/minimind)) · 14 ad platforms · 29 MCP tools · 5 Claude Code skills · One repo.

</div>

---

## What Is This?

MiniAgent is three things in one repo:

1. **A trainable advertising AI** — Fork of [minimind](https://github.com/jingyaogong/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](https://huggingface.co/itallstartedwithaidea/MiniAgent-104M) · [Mi
Read full README on GitHub →

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