Genai Starter Pack MCP Server

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Curated catalog and dataset of 50 cloneable GenAI apps and Hugging Face Spaces across RAG, AI agents, LangGraph, MCP, and more

Genai Starter Pack is an open-source mcp server by parthmax2, written mainly in Python, with 13 GitHub stars and the CC0-1.0 license. Its code was last updated Jun 20, 2026.

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GenAI Starter Pack: Cloneable GenAI Projects and Hugging Face Spaces

A curated catalog and structured dataset of 50 open-source GenAI applications and Hugging Face Spaces selected for cloneability, setup clarity, and learning value.

<p align="center"> <img src="assets/banner.webp" alt="GenAI Starter Pack banner"> </p> <p align="center"> <strong>Find practical RAG, AI agent, LangGraph, MCP, and multi-agent projects you can inspect, clone, and learn from.</strong> </p> <p align="center"> <img src="assets/stats-bar.svg" alt="GenAI Starter Pack project stats"> </p> <p align="center"> <a href="https://github.com/parthmax2/genai-starter-pack/stargazers"><img src="https://img.shields.io/github/stars/parthmax2/genai-starter-pack?style=flat" alt="GitHub stars"></a> <img src="https://img.shields.io/badge/projects-50%20curated-blue" alt="50 curated projects"> <img src="https://img.shields.io/badge/data-JSON%20%7C%20CSV-2563EB" alt="JSON and CSV datasets"> <a href="LICENSE"><img src="https://img.shields.io/badge/license-CC0--1.0-lightgrey" alt="License: CC0 1.0"></a> </p>

50 curated projects | JSON and CSV datasets | Setup-time estimates | 9 category guides

Browse the ranked projects · Follow the learning path · Read the methodology · Use the JSON dataset

Most entries are Hugging Face Spaces, which are Git repositories that can usually be cloned directly. The catalog focuses on practical LLM applications across RAG, Agentic AI, Multi-Agent Systems, LangGraph, CrewAI, SmolAgents, MCP, Browser Agents, Coding Agents, Research Agents, PDF RAG, Knowledge Assistants, and AI Workflows.

Unlike popularity-only lists, this repository evaluates projects for developer usefulness: cloneability, documentation quality, architecture, learning value, and practical reuse.

How to Use This Repository
Explore the Starter Pack
Why This Exists
Quick Picks
Ranking Method
Best Generative AI Projects
Data and Guides
Contributing

How to Use This Repository

GenAI Starter Pack is a catalog and dataset, not an installable application or a single code boilerplate.

Choose a category or goal from the guides below.
Compare projects by stack, difficulty, setup time, and score.
Open a listed Hugging Face Space or source repository and inspect its files.
Clone the project you want to study by following the Hugging Face Spaces cloning guide.
Use projects.json or projects.csv for filtering, analysis, or building your own project browser.

Explore The Starter Pack

Path	Best For
Best RAG Projects	Vector search, PDF chatbots, knowledge assistants, retrieval pipelines.
Best Agentic AI Projects	Tool-using agents, agentic RAG, workflow automation.
Best LangGraph Projects	Graph-based agent workflows and state-machine patterns.
Best Multi-Agent Projects	Crew workflows, agent collaboration, AutoGen-style demos.
Best MCP Projects	Model Context Protocol tools, servers, and app wrappers.
Best Browser Agent Projects	Browser-use agents, web automation, and research browsing workflows.
Best Coding Agent Projects	Code review agents, coding assistants, and developer automation.
Best Research Agent Projects	Deep research tools, evaluation boards, and source-gathering agents.
Beginner-Friendly Projects	Projects you can clone and understand quickly.

Why This Exists

Most AI project lists are either huge link dumps, paper collections, SaaS directories, or popularity rankings. GenAI Starter Pack is built for developers asking:

What are the best Generative AI projects I can actually clone?
Which RAG projects are worth studying?
Where are good LangGraph, CrewAI, SmolAgents, and MCP examples?
Which AI agent projects are beginner-friendly?
Which open-source LLM apps can become a foundation for my own product?

Who This Is For

Developers looking for the best GenAI projects to clone and learn from.
Students building RAG, agentic AI, LangGraph, CrewAI, SmolAgents, or MCP portfolios.
Founders searching for practical open-source LLM app foundations.
Maintainers who want examples of clean AI project structure, docs, and setup flow.
Researchers comparing real-world agent, RAG, and multi-agent app patterns.

What Gets Included

A project should be useful to developers, not just impressive in a demo. Strong candidates usually have:

Public source code or a cloneable Hugging Face Space.
Clear setup instructions and realistic local run path.
Practical architecture worth studying.
Evidence that the demo or project still works.
A useful pattern for RAG, agents, workflows, MCP, browser automation, coding agents, or research agents.

Projects with broken runtimes, missing source code, poor documentation, unclear setup, or abandoned structure are filtered out.

Quick Picks

Goal	Start Here
Learn RAG	Best RAG Projects
Learn agentic AI	Best Agentic AI Projects
Learn LangGraph	Best LangGraph Projects
Learn multi-agent systems	Best Multi-Agent AI Projects
Learn MCP	Best MCP Projects
Build with browser agents	Best Browser Agent Projects
Start as a beginner	Beginner-Friendly GenAI Projects

Ranking Method

Projects are ranked by a weighted score — cloneability matters most, popularity matters least.

Signal	Weight
Cloneability	40%
Documentation quality	20%
Project architecture	15%
Learning value	15%
Popularity	10%

See Ranking Methodology and Cloneability Score.

Best Generative AI Projects

Rank	Project	Category	Stack	Difficulty	Score	Why Study
1	Doc MCP	Agentic RAG	LlamaIndex, Gradio, MCP	Medium	87	Clean MCP + documentation RAG pattern.
2	Multi-Agent Land	Multi-Agent	Qdrant, FastAPI, Gradio, MCP	Medium	87	Rich architecture, tests, docs, configs.
3	DeepResearch Bench	Research Agent	Gradio	Hard	78	Useful benchmark/evaluation reference.
4	Qdrant Vibe Coding RAG	Agentic RAG	Qdrant, FastAPI, MCP	Hard	83	Practical vector search app structure.
5	Consilium MCP	Research Agent	SmolAgents, Gradio, MCP	Medium	80	Multi-source research tools via MCP.
6	AI Workflow Orchestrator	AI Workflow	FastAPI	Hard	85	Larger workflow orchestration reference.
7	AI Marketing Content Creator	Knowledge Assistant	FastAPI, Gradio, MCP	Medium	75	Good applied MCP business app.
8	RAG Chatbot Agentic AI	Agentic RAG	LangGraph, Pinecone, Streamlit	Medium	80	LangGraph + Pinecone RAG example.
9	Web Scraper	Browser Agent	Gradio, MCP	Easy	80	Simple MCP scraping utility.
10	RAG GPT Backend	Agentic RAG	FAISS, Pinecone, FastAPI, Gradio	Hard	83	Backend-style RAG service pattern.
11	PDF Chatbot	PDF RAG	ChromaDB, Gradio	Easy	85	Very cloneable PDF chatbot baseline.
12	Multi-Agent Deep Research	Multi-Agent	Gradio, MCP	Medium	80	Focused multi-agent research flow.
13	Light PDF Web QA	PDF RAG	FAISS, Gradio	Easy	88	Lightweight document + web QA app.
14	SmolAgents Quiz	Coding Agent	SmolAgents, FastAPI, Gradio	Easy	80	Beginner-friendly SmolAgents learning app.
15	Open DeepResearch	Research Agent	Streamlit	Medium	80	Simple deep-research UI pattern.
16	Multi-Agent AI CrewAI	Multi-Agent	CrewAI, Gradio, MCP	Medium	80	Compact CrewAI reference.
17	QSARion SmolAgents	Knowledge Assistant	SmolAgents, Gradio	Medium	75	Domain agent with practical tool use.
18	AI Document Assistant RAG	PDF RAG	FAISS, Streamlit	Hard	78	Recent Streamlit document assistant.
19	Universal File Converter	AI Workflow	Gradio, MCP	Medium	55	MCP utility workflow example.
20	SAM 3D Body MCP	AI Workflow	Gradio, MCP	Easy	85	Minimal MCP wrapping of model app.
21	AutoGen Coding	Coding Agent	Gradio, MCP	Easy	80	Small coding-agent comparison baseline.
22	Brand Identity Generator	AI Workflow	Gradio, MCP	Medium	75	End-to-end content workflow.
23	Open Deep Research	Browser Agent	SmolAgents, Gradio	Medium	75	Browser-style research agent.
24	SAM 3D Objects MCP	AI Workflow	Gradio, MCP	Easy	85	Small MCP server/app pattern.
25	Multi-Agent AI LangGraph	Multi-Agent	LangGraph, Gradio, MCP	Medium	80	Compact LangGraph multi-agent demo.
26	GAIA2 Agents Leaderboard	Research Agent	Gradio	Easy	80	Agent evaluation UI reference.
27	Agentic AI	AI Workflow	LlamaIndex, Gradio, MCP	Medium	80	LangChain/LlamaIndex agent app.
28	RAG QA System	PDF RAG	FAISS, FastAPI, Streamlit	Hard	83	FastAPI + Streamlit RAG split.
29	Rice KG RAG QA	Agentic RAG	FAISS, Gradio	Easy	80	Knowledge-graph flavored RAG.
30	Lowerlimb RAG Agentic AI	PDF RAG	LangGraph, FAISS, Gradio	Medium	80	Domain-specific LangGraph RAG.
31	Upperlimb RAG Agentic AI	PDF RAG	LangGraph, FAISS, Gradio	Medium	80	Similar medical RAG pattern.
32	LangGraph Chess	Multi-Agent	LangGraph, Gradio, MCP	Medium	80	Toy multi-agent state-machine demo.
33	Rembg MCP	AI Workflow	FastAPI, Gradio, MCP	Easy	80	Simple MCP tool wrapping pattern.
34	FLUX.1 Krea Dev MCP	AI Workflow	Gradio, MCP	Easy	80	Image-generation MCP app shell.
35	RAG PDF Chatbot	PDF RAG	FAISS, Gradio	Easy	65	Popular minimal PDF RAG.
36	Unit 3 Agentic RAG	Agentic RAG	SmolAgents, Gradio	Easy	65	Course-quality agentic RAG example.
37	AutoGen Chess	Multi-Agent	Gradio, MCP	Easy	80	Small multi-agent comparison app.
38	MCP Plausible	AI Workflow	Gradio, MCP	Easy	80	API analytics via MCP.
39	LangGraph Code Reviewer	Coding Agent	LangGraph, Gradio	Easy	80	Tiny, readable LangGraph agent.
40	AutoGen Coding Fork	Coding Agent	Gradio	Easy	80	Cloneable coding-agent variant.
41	Production RAG	Agentic RAG	ChromaDB, Gradio	Medium	80	Larger Chroma RAG project shape.
42	PDF RAG Mistral 7B	PDF RAG	ChromaDB, Gradio	Easy	80	Simple local-model PDF RAG.
43	RAG PDF QnA ChatBot	PDF RAG	FAISS, Streamlit	Easy	65	Streamlit PDF Q&A baseline.
44	SmolAgents Gradio	Knowledge Assistant	SmolAgents, Gradio	Easy	80	Minimal SmolAgents Gradio shell.
45	AutoGen Coding Variant	Coding Agent	Gradio	Easy	80	Small fork for comparison.
46	AutoGen Coding Variant 2	Coding Agent	Gradio	Easy	80	Another minimal coding-agent fork.
47	Browser Calling Agent	Browser Agent	FastAPI, Gradio	Hard	68	Browser-calling app pattern.
48	CrewAI Finance Agent	Multi-Agent	CrewAI, Streamlit	Medium	65	CrewAI applied finance example.
49	Julia Browser Agent	Browser Agent	Gradio	Medium	65	Small browser-agent baseline.
50	Career Conversation AI Agent	Knowledge Assistant	OpenAI Agents SDK, Gradio	Medium	67	Simple OpenAI Agents SDK app.

Best RAG Projects

See the full guide: Best RAG Projects.

Best Agentic AI Projects

See the full guide: Best Agentic AI Projects.

Best LangGraph Projects

See the full guide: Best LangGraph Projects.

The initial research pass selected 8 LangGraph Spaces with enough public source and documentation quality for this guide.

Best Multi-Agent AI Projects

See the full guide: Best Multi-Agent Projects.

Best MCP Projects

See the full guide: Best MCP Projects.

Best Browser Agent Projects

See the full guide: Best Browser Agents.

Best Coding Agent Projects

See the full guide: Best Coding Agents.

Best Research Agent Projects

See the full guide: Best Research Agents.

Beginner-Friendly GenAI Projects

See the full guide: Beginner-Friendly Projects.

Data

Guides

Contributing

High-quality submissions are welcome. Please read CONTRIBUTING.md before opening an issue or pull request.

The goal is quality over quantity. This repo is for cloneable, useful, educational GenAI projects, not random demos or product ads.

Maintainer

Built and maintained by Saksham Pathak (parthmax).

The clues are scattered. The models are waiting. The investigation starts here.

Welcome to the GenAI Starter Pack.

</div> <div align="center">

<img src="https://cdn.simpleicons.org/googlechrome" width="24"><br><b>Website</b><br><a href="https://parthmax.in">parthmax.in</a>	<img src="https://cdn.simpleicons.org/github" width="24"><br><b>GitHub</b><br><a href="https://github.com/parthmax2">@parthmax2</a>	<img src="https://cdn.simpleicons.org/huggingface" width="24"><br><b>Hugging Face</b><br><a href="https://huggingface.co/parthmax">@parthmax</a>	<img src="https://cdn.simpleicons.org/linkedin" width="24"><br><b>LinkedIn</b><br><a href="https://linkedin.com/in/sakshampathak">Saksham Pathak</a>

</div>

License

This catalog is released under CC0 1.0. Project code linked from this list keeps its own license.

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