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GitHub Publication Guide

Quick Reference

Project: SAP Business Data Cloud MCP Server Version: 0.1.0 Status: Ready for GitHub publication (pending validation) Repository Path: C:\Users\mariodefe\sap-bdc-mcp-server

Publication Steps

1. Create GitHub Repository

  1. Go to https://github.com/new
  2. Repository name: sap-bdc-mcp-server
  3. Description: MCP server for SAP Business Data Cloud integration - enables AI assistants to manage data shares, Delta Sharing, and data products
  4. Visibility: Public (recommended for MCP servers)
  5. DO NOT initialize with README, .gitignore, or license (we already have these)
  6. Click "Create repository"

2. Push to GitHub

After creating the repository, run these commands:

cd C:\Users\mariodefe\sap-bdc-mcp-server

# Set default branch to main
git branch -M main

# Add remote (replace YOUR_USERNAME with your GitHub username)
git remote add origin https://github.com/YOUR_USERNAME/sap-bdc-mcp-server.git

# Push to GitHub
git push -u origin main

3. Configure Repository Settings

Once pushed, configure the repository on GitHub:

About Section

  • Description: MCP server for SAP Business Data Cloud integration
  • Website: Leave empty or add docs URL later
  • Topics: Add these tags: 
    mcp
mcp-server
sap
sap-bdc
databricks
delta-sharing
claude
anthropic
ai
python
data-sharing
model-context-protocol

Features

  • ✅ Issues
  • ✅ Discussions (recommended)
  • ✅ Projects (optional)
  • ✅ Wiki (optional)

Security

  • Enable Dependabot alerts
  • Enable Dependabot security updates
  • Enable CodeQL scanning (already in workflows)

Branch Protection (Recommended)

Go to Settings → Branches → Add rule for main:

  • ✅ Require pull request reviews before merging
  • ✅ Require status checks to pass before merging
  • ✅ Require branches to be up to date before merging
  • ✅ Include administrators

4. Update Documentation

After creating the repository, update these files with your actual GitHub username:

Files to update:

  1. README.md - Replace YOUR_USERNAME with your GitHub username
  2. CHANGELOG.md - Replace YOUR_USERNAME with your GitHub username
  3. This guide - Update with actual repository URL

Quick find/replace:

# Use your text editor to find and replace:
# Find: YOUR_USERNAME
# Replace: your-actual-github-username

5. Create Initial Release (After Validation)

Once Kiro validates the server:

  1. Go to Releases → Create a new release
  2. Tag version: v0.1.0
  3. Release title: SAP BDC MCP Server v0.1.0 - Initial Release
  4. Description:
## SAP Business Data Cloud MCP Server - Initial Release

First public release of the MCP server for SAP Business Data Cloud integration.

### Features

- 🔧 5 core SAP BDC tools for AI assistants
- 🔄 Delta Sharing protocol support
- 📊 Data product management
- 🎯 CSN schema configuration
- 🔌 Claude Desktop integration

### Tools Included

1. **create_or_update_share** - Manage data shares with ORD metadata
2. **create_or_update_share_csn** - Configure shares using CSN schema
3. **publish_data_product** - Publish data products
4. **delete_share** - Remove and withdraw shares
5. **generate_csn_template** - Auto-generate CSN templates

### Installation

```bash
git clone https://github.com/YOUR_USERNAME/sap-bdc-mcp-server.git
cd sap-bdc-mcp-server
pip install -e .

See README.md for full documentation.

Requirements

  • Python 3.9+
  • Databricks environment
  • SAP Business Data Cloud account
  • Delta Sharing recipient configured

What's Next

  • PyPI package publication
  • npm package for Node.js environments
  • Additional SAP BDC SDK features
  • Enhanced tutorials and examples

Validation

This release has been validated with Databricks environment by @Kiro

Contributors

Thanks to @Kiro for validation and testing!


5. Click "Publish release"

---

## File Structure Summary

sap-bdc-mcp-server/ ├── .github/ │ ├── ISSUE_TEMPLATE/ │ │ ├── bug_report.md │ │ └── feature_request.md │ ├── PULL_REQUEST_TEMPLATE.md │ └── workflows/ │ ├── ci.yml # CI tests on push/PR │ ├── codeql.yml # Security scanning │ └── release.yml # PyPI/npm publish on release ├── src/sap_bdc_mcp/ │ ├── init.py │ ├── server.py # Main MCP server (222 lines) │ └── config.py # Configuration management ├── tests/ │ ├── init.py │ ├── test_server.py # Server tests │ └── test_config.py # Config tests ├── examples/ │ └── example_usage.py # Usage examples ├── .env.example # Environment template ├── .gitignore ├── pyproject.toml # Python project config ├── setup.py ├── LICENSE # MIT License ├── README.md # Main documentation ├── CHANGELOG.md # Version history ├── CONTRIBUTING.md # Contribution guide ├── RELEASE_CHECKLIST.md # Release process ├── VALIDATION_GUIDE.md # For Kiro's validation └── GITHUB_PUBLICATION_GUIDE.md # This file


---

## For Kiro: Validation Workflow

1. **Follow** [VALIDATION_GUIDE.md](VALIDATION_GUIDE.md)
2. **Test** all 5 tools in Databricks environment
3. **Verify** Claude Desktop integration
4. **Report** any issues found
5. **Approve** for publication or request fixes

---

## Post-Publication Checklist

After pushing to GitHub:

- [ ] Repository URL added to all docs
- [ ] Topics/tags added
- [ ] About section filled
- [ ] Issues enabled
- [ ] Discussions enabled (optional)
- [ ] Branch protection configured
- [ ] Security features enabled
- [ ] Initial commit visible
- [ ] README displays correctly
- [ ] GitHub Actions run successfully

---

## Future: PyPI Publication

After successful GitHub publication and validation:

### Prerequisites
- [ ] PyPI account created
- [ ] API token generated
- [ ] `PYPI_API_TOKEN` added to GitHub Secrets

### Steps
1. Update version in `pyproject.toml` if needed
2. Create GitHub release with tag (e.g., `v0.1.0`)
3. GitHub Actions will automatically build and publish to PyPI
4. Verify on https://pypi.org/project/sap-bdc-mcp-server/
5. Test install: `pip install sap-bdc-mcp-server`

### Manual PyPI Upload (if needed)
```bash
# Build
python -m build

# Upload to TestPyPI first
twine upload --repository testpypi dist/*

# Test install from TestPyPI
pip install -i https://test.pypi.org/simple/ sap-bdc-mcp-server

# If successful, upload to production PyPI
twine upload dist/*

Future: npm Publication

After PyPI is stable:

  1. Create package.json for npm
  2. Decide on npm package approach:
    • Pure wrapper calling Python
    • Separate Node.js implementation
    • Hybrid approach
  3. Set up npm account and token
  4. Configure GitHub Actions for npm publish
  5. Test and release

Support & Communication

GitHub Features

  • Issues: Bug reports, feature requests
  • Discussions: Q&A, ideas, general chat
  • Wiki: Extended documentation (optional)
  • Projects: Roadmap tracking (optional)

Community

  • Monitor issues regularly
  • Respond to questions promptly
  • Welcome contributions
  • Update documentation based on feedback

Marketing & Visibility

After publication, share on:

  • MCP community Discord/forums
  • SAP community channels
  • Databricks community
  • Reddit (r/databricks, r/claudeai, etc.)
  • LinkedIn
  • Twitter/X
  • Dev.to or Medium article

Sample Announcement

🚀 Introducing SAP BDC MCP Server!

An MCP server that connects Claude to SAP Business Data Cloud, enabling:
- 🔄 Data share management
- 📊 Delta Sharing operations
- 🎯 Data product publishing
- 🤖 AI-powered data workflows

Built with Python, works with Databricks.

GitHub: [link]
Docs: [link]

#MCP #SAP #Databricks #Claude #AI

Quick Commands Reference

# Check status
git status

# View commit history
git log --oneline

# Create and push new branch
git checkout -b feature/new-feature
git push -u origin feature/new-feature

# Tag a release
git tag -a v0.1.0 -m "Release v0.1.0"
git push origin v0.1.0

# Update from remote
git pull origin main

# View remote
git remote -v

Troubleshooting

"Authentication failed"

  • Use GitHub Personal Access Token (PAT)
  • Enable repo permissions on PAT
  • Or use GitHub CLI: gh auth login

"Remote already exists"

  • Check: git remote -v
  • Remove: git remote remove origin
  • Re-add with correct URL

"Push rejected"

  • Ensure no conflicts
  • Pull first: git pull origin main --rebase
  • Then push

Contact

For questions about publication:

  • Create an issue on GitHub
  • Check GitHub documentation
  • Contact repository maintainer

Ready to publish! 🚀