UNIVERSAL_DEPLOYMENT_GUIDE.md•9.56 kB
# Universal Deployment Guide
## 🌍 Making Your MCP Available to Any LLM
This guide explains how your Humanitarian Negotiation MCP is **already universal** and how to deploy it for maximum reach.
---
## ✅ Current Status: Already Universal
Your MCP uses **FastMCP**, which is part of the MCP standard maintained by Anthropic. This means it's **not tied to any specific LLM**.
It can be used with:
- ✅ Claude Desktop
- ✅ Cline (VSCode)
- ✅ Continue IDE
- ✅ Cursor IDE
- ✅ Any HTTP client
- ✅ OpenAI, Anthropic, Mistral APIs
- ✅ Custom LLM applications
---
## 🚀 Deployment Options
### Option 1: MCP Standard (Already Configured)
**Pros:**
- Already set up
- Native integration with MCP clients
- Zero additional dependencies
- Works with all major IDEs
**Setup for new users:**
```json
{
"mcpServers": {
"humanitarian-negotiation": {
"command": "python",
"args": ["/path/to/humanitarian_negotiation_mcp.py"]
}
}
}
```
**Works with:**
- Claude Desktop
- Cline
- Continue
- Cursor
- Any MCP-compatible client
---
### Option 2: HTTP API (Recommended for Maximum Universality)
**Perfect for:**
- Web applications
- Mobile apps
- Cross-platform access
- Any programming language
- Cloud deployment
**Installation:**
```bash
# Install additional dependencies
pip install fastapi uvicorn
# Run HTTP server
python http_server.py
```
**Access points:**
- API: `http://localhost:8000`
- Docs: `http://localhost:8000/docs`
- Tools: `http://localhost:8000/tools`
**Usage examples:**
```bash
# cURL
curl -X POST http://localhost:8000/api/v1/island-of-agreement \
-H "Content-Type: application/json" \
-d '{"situation_description":"...", "organization_name":"...","counterpart_name":"..."}'
# Python
import requests
requests.post('http://localhost:8000/api/v1/island-of-agreement', json={...})
# JavaScript
fetch('http://localhost:8000/api/v1/island-of-agreement', {method: 'POST', body: JSON.stringify({...})})
```
---
### Option 3: Docker Container
**Perfect for:**
- Production deployment
- Cloud services
- Consistent environments
- Team sharing
**Build:**
```bash
docker build -t humanitarian-mcp:1.0 .
```
**Run:**
```bash
# Single container
docker run -p 8000:8000 humanitarian-mcp:1.0
# With docker-compose
docker-compose up -d
# Access at http://localhost:8000
```
---
### Option 4: Python Package (PyPI)
**Makes it easiest for Python developers:**
```bash
# Install
pip install humanitarian-negotiation-mcp
# Or with HTTP support
pip install humanitarian-negotiation-mcp[http]
# Run
humanitarian-mcp # MCP server
humanitarian-mcp-http # HTTP server
```
**Currently:** Configured and ready - just needs to be published to PyPI.
---
### Option 5: Cloud Deployment
Deploy the HTTP server on any cloud platform:
**AWS Lambda (Serverless):**
```bash
# Uses SAM or Zappa
pip install zappa
zappa init
zappa deploy production
```
**Google Cloud Run:**
```bash
gcloud run deploy humanitarian-mcp \
--source . \
--platform managed \
--region us-central1
```
**Azure Container Instances:**
```bash
az container create \
--resource-group myResourceGroup \
--name humanitarian-mcp \
--image humanitarian-mcp:1.0 \
--ports 8000
```
**Heroku (Deprecated, but still works):**
```bash
git push heroku main
```
---
## 📋 How to Distribute Your MCP
### For Individual Users:
1. Share the entire directory
2. They configure it in their MCP client
3. Or they run the HTTP server
### For Organizations:
1. Publish on PyPI: `pip install humanitarian-negotiation-mcp`
2. Deploy Docker image to internal registry
3. Host HTTP API on internal server
4. Document in Confluence/Wiki
### For Open Source Community:
1. Create GitHub repository
2. Publish to PyPI
3. Create Docker image on Docker Hub
4. Share on MCP Hub (when launched)
5. Document in GitHub README
---
## 🔧 Step-by-Step: From Local to Universal
### Step 1: Verify Local Installation ✅ (Done)
```bash
python humanitarian_negotiation_mcp.py
# Should print: Listening for MCP messages on stdio
```
### Step 2: Enable HTTP Access (10 minutes)
```bash
pip install fastapi uvicorn
python http_server.py
# Visit http://localhost:8000/docs
```
### Step 3: Containerize (15 minutes)
```bash
docker build -t humanitarian-mcp:1.0 .
docker run -p 8000:8000 humanitarian-mcp:1.0
```
### Step 4: Package for Distribution (20 minutes)
```bash
python -m pip install --upgrade build twine
python -m build
# Files in dist/ ready to upload
```
### Step 5: Publish (5 minutes)
```bash
# Test PyPI first
twine upload --repository testpypi dist/*
# Then PyPI
twine upload dist/*
```
### Step 6: Deploy to Cloud (varies)
Choose your platform and follow their deployment guide.
---
## 📊 Feature Comparison: How to Access
| Access Method | Setup Time | Complexity | Universality | Scalability |
|--------------|-----------|-----------|-------------|------------|
| MCP Server | Instant | Very Low | LLMs only | Low |
| HTTP API | 5 min | Low | Universal | High |
| Docker | 10 min | Low | Very High | Very High |
| PyPI Package | 30 min | Medium | High | High |
| Cloud Deploy | 30 min | Medium | Very High | Very High |
---
## 🎯 Recommended Deployment Path
### For Maximum Immediate Reach:
1. ✅ **Now**: MCP server (already done)
2. **This week**: HTTP API (10 min setup)
3. **Next month**: Docker image
4. **This quarter**: PyPI package + GitHub
### For Production Use:
1. HTTP API (proven and scalable)
2. Containerized (reproducible)
3. Cloud hosted (always available)
4. CDN for API responses (if needed)
### For Developer Community:
1. PyPI package (easy install)
2. GitHub repository (contributions)
3. Documentation (tutorials)
4. Examples (real-world usage)
---
## 📦 Files Created for Universal Access
| File | Purpose | Status |
|------|---------|--------|
| `humanitarian_negotiation_mcp.py` | Core MCP server | ✅ Complete |
| `http_server.py` | REST API wrapper | ✅ Complete |
| `Dockerfile` | Container image | ✅ Complete |
| `.dockerignore` | Container optimization | ✅ Complete |
| `docker-compose.yml` | Multi-service setup | ✅ Complete |
| `pyproject.toml` | Modern Python packaging | ✅ Complete |
| `setup_package.py` | Classic packaging | ✅ Complete |
| `INTEGRATION_EXAMPLES.md` | Usage examples | ✅ Complete |
| `DEPLOY_AS_UNIVERSAL_MCP.md` | Technical guide | ✅ Complete |
---
## 🚀 Quick Launch Commands
### Start MCP Server
```bash
python humanitarian_negotiation_mcp.py
```
### Start HTTP Server
```bash
pip install fastapi uvicorn
python http_server.py
```
### Start with Docker
```bash
docker-compose up -d
```
### Test Everything
```bash
# Terminal 1: Start server
python http_server.py
# Terminal 2: Test API
curl http://localhost:8000/health
curl http://localhost:8000/tools
```
---
## 📚 Documentation Files
- **README.md** - Core features and installation
- **QUICKSTART.md** - 5-minute quick start
- **EXAMPLES.md** - Real-world usage examples
- **DEPLOY_AS_UNIVERSAL_MCP.md** - Technical deployment details
- **INTEGRATION_EXAMPLES.md** - How to use with different clients
- **UNIVERSAL_DEPLOYMENT_GUIDE.md** - This file
---
## ✨ Your MCP is Already Universal
The key insight: **Your MCP is not tied to any LLM.**
Because you're using FastMCP (the MCP standard), it works with:
- ✅ Any MCP-compatible client
- ✅ Any HTTP library
- ✅ Any programming language
- ✅ Any LLM that supports tools
- ✅ Web, mobile, desktop, CLI apps
The deployment options above are just different **ways to distribute** and **expose** the same core functionality.
---
## 🎓 Next Steps
1. **Test HTTP Server** (5 min)
```bash
python http_server.py
# Visit http://localhost:8000/docs
```
2. **Build Docker Image** (10 min)
```bash
docker build -t humanitarian-mcp:1.0 .
```
3. **Setup PyPI Publishing** (if sharing publicly)
```bash
# Update setup.py with your details
# Then: twine upload dist/*
```
4. **Deploy to Cloud** (optional, 30 min)
- Choose platform (AWS/GCP/Azure/etc)
- Follow platform's deployment guide
- Share public URL with users
---
## 💡 Tips for Maximum Distribution
1. **Document thoroughly** - People need to know how to use it
2. **Provide examples** - Show real usage patterns (we did this!)
3. **Make it easy** - One-command setup (we did this!)
4. **Support multiple methods** - MCP, HTTP, Docker, PyPI (we did this!)
5. **Keep it maintained** - Update docs and dependencies regularly
6. **Get feedback** - Listen to users and improve
---
## 🤔 Common Questions
**Q: Is my MCP truly universal?**
A: Yes! It uses standard MCP protocol, which is LLM-agnostic.
**Q: Do I need to do anything special?**
A: No, but HTTP API makes it more accessible to non-technical users.
**Q: What's the best deployment method?**
A: HTTP API for maximum reach, Docker for consistency, PyPI for developers.
**Q: Can users run it locally?**
A: Yes, all deployment methods support local execution.
**Q: What if I want to add more features?**
A: Just edit `humanitarian_negotiation_mcp.py` - all deployment methods automatically include updates.
---
## 🎉 Conclusion
Your Humanitarian Negotiation MCP is:
- ✅ **Already universal** (uses standard MCP)
- ✅ **Ready for any LLM** (tools-based design)
- ✅ **Easy to distribute** (multiple deployment options)
- ✅ **Scalable** (HTTP API for production)
- ✅ **Well-documented** (comprehensive guides)
Now it's just a matter of **choosing how to share it** based on your audience and requirements!