# Twitter/X Post Template

## Option 1: Technical Focus (Recommended)

```
🚀 Just shipped my #MCP protocol extension for MCP's 1st Birthday Hackathon!

The Problem: Enterprise MCP servers waste 30k+ tokens loading ALL tool descriptions upfront—even for tools you never use.

My Solution: Progressive Disclosure Protocol
→ Load minimal descriptions first
→ Fetch full details only when needed
→ Result: 80-90% token reduction 📉

Live demo + full spec: https://huggingface.co/spaces/MCP-1st-Birthday/YOUR-SPACE-NAME

Hosted by @HuggingFace & @AnthropicAI

#MCPHackathon #MCP #AI #LLM #Anthropic
```

## Option 2: Problem-Solution Narrative

```
💡 What if your AI agent could use 100+ tools without burning through its context window?

I built Progressive Disclosure for MCP—a protocol extension that lazy-loads tool descriptions on-demand.

✅ 80-90% token savings
✅ Standards-compliant
✅ Production-ready

Demo + docs: https://huggingface.co/spaces/MCP-1st-Birthday/YOUR-SPACE-NAME

Built for #MCPHackathon hosted by @HuggingFace & @AnthropicAI

#MCP #AI #Gradio
```

## Option 3: Developer-Focused

```
🛠️ Built a protocol extension for @AnthropicAI's Model Context Protocol!

Progressive Disclosure lets MCP servers scale to 100+ tools without context bloat:

1️⃣ List tools with minimal descriptions
2️⃣ Fetch full details on-demand via resources
3️⃣ Session-based auth ensures safety

40k tokens → 1.7k tokens in typical workflows

Try it: https://huggingface.co/spaces/MCP-1st-Birthday/YOUR-SPACE-NAME

#MCPHackathon #MCP @HuggingFace @AnthropicAI
```

---

## Required Elements (CHECK THESE!)

✅ **Mention @HuggingFace and/or @AnthropicAI** (for visibility to organizers)  
✅ **Include #MCPHackathon** hashtag (required)  
✅ **Link to your HuggingFace Space** (required)  
✅ **Attach your demo video** (highly recommended)  
✅ Optional but good: #MCP #AI #Gradio tags

---

## Posting Steps

1. **Upload your video** to Twitter/X first
2. **Write your post** using one of the templates above
3. **Replace** `YOUR-SPACE-NAME` with your actual space name
4. **Attach the video** to the post
5. **Post it!**
6. **Copy the post URL** (click the timestamp on your post to get the direct link)
7. **Update your README.md** with the post link

---

## Post Timing

- Post **after** your Space is live and working
- This way people can click through and see it running
- Make sure the Space loads before you post

---

## LinkedIn Alternative (If You Prefer)

```
🚀 Excited to share my submission for MCP's 1st Birthday Hackathon hosted by Hugging Face and Anthropic!

I've built a protocol extension called "Progressive Disclosure" that solves a critical problem in enterprise AI systems: context window exhaustion.

The Challenge:
Enterprise MCP servers with 50-100+ tools (AWS, Kubernetes, Jira, etc.) load 30,000-50,000 tokens of tool descriptions before the user even asks a question. This wastes precious context space.

My Solution:
Progressive Disclosure implements lazy-loading through a two-stage process:
1. Initial load: Minimal 1-sentence descriptions (~500 tokens)
2. On-demand fetch: Full schemas only when needed
3. Session-based authorization ensures safety

Results: 80-90% reduction in context overhead

The extension is fully documented, production-ready, and uses only standard MCP primitives—no breaking changes required.

Live demo: https://huggingface.co/spaces/MCP-1st-Birthday/YOUR-SPACE-NAME

Full specification: [link to your space/docs]

#AI #MCP #Gradio #HuggingFace #Anthropic #MCPHackathon
```

---

## Tips for Maximum Engagement

1. **Post during US daytime hours** (9am-5pm PT) for maximum visibility
2. **Thread it** if you want to add technical details in follow-up tweets
3. **Engage** with others' submissions and use the #MCPHackathon hashtag
4. **Pin** your tweet to your profile for the next few days
5. **Share in Discord** at #agents-mcp-hackathon-winter25🏆

Good luck! 🍀