Great question! Here are the manual steps you need to complete to publish sensei-mcp:

## 1. Test Locally (5-10 minutes)

```bash
# Install in development mode
pip install -e .

# Verify the command works
sensei-mcp --help

# Run the test suite
pytest tests/

# Test with uvx (simulates user experience)
uvx sensei-mcp
```

## 2. Create GitHub Repository (5 minutes)

```bash
# Initialize git (if not already done)
git init
git add .
git commit -m "Initial release: Sensei MCP v0.1.0

Engineering standards mentor with active context injection for 50+ file types.

Features:
- 32 file type patterns covering 50+ languages and frameworks
- 7 MCP tools for context loading and session management
- 8 client install methods (Cursor, Claude Code, etc.)
- Smart context inference (87.5% token reduction)
- Persistent session memory

🥋 Generated with [Claude Code](https://claude.ai/code)
via [Happy](https://happy.engineering)

Co-Authored-By: Claude <noreply@anthropic.com>
Co-Authored-By: Happy <yesreply@happy.engineering>"

# Create repo on GitHub (github.com/new)
# Name: sensei-mcp
# Description: Engineering standards mentor - Active context injection for 50+ file types with session memory
# Public repo

# Push to GitHub
git remote add origin https://github.com/amarodeabreu/sensei-mcp.git
git branch -M main
git push -u origin main
```

## 3. Publish to PyPI (10 minutes)

```bash
# Install publishing tools (if not already installed)
pip install build twine

# Build the package
python -m build

# This creates:
# - dist/sensei_mcp-0.1.0-py3-none-any.whl
# - dist/sensei-mcp-0.1.0.tar.gz

# Test upload to TestPyPI first (recommended)
python -m twine upload --repository testpypi dist/*
# Username: __token__
# Password: <your TestPyPI token>

# Test install from TestPyPI
pip install --index-url https://test.pypi.org/simple/ sensei-mcp

# If everything works, upload to real PyPI
python -m twine upload dist/*
# Username: __token__
# Password: <your PyPI token>
```

**Note:** You'll need PyPI accounts:

- PyPI: https://pypi.org/account/register/
- TestPyPI: https://test.pypi.org/account/register/
- Create API tokens in account settings

## 4. Create GitHub Release (5 minutes)

```bash
# Tag the release
git tag -a v0.1.0 -m "Release v0.1.0: Initial public release"
git push origin v0.1.0

# On GitHub:
# Go to Releases → Draft a new release
# Choose tag: v0.1.0
# Title: "Sensei MCP v0.1.0 - Initial Release"
# Description: Copy from PUBLISHING.md or use:
```

```markdown
## 🥋 Sensei MCP v0.1.0

Engineering standards mentor that transforms passive documentation into active context injection for Claude.

### Features

- **50+ File Types**: Comprehensive coverage across programming languages, frameworks, and infrastructure
- **Smart Context Loading**: 87.5% token efficiency (loads only relevant sections)
- **Session Memory**: Persistent architectural decisions across conversations
- **8 Install Methods**: One-click Cursor button, CLI for Claude Code, manual configs for 6+ clients
- **7 MCP Tools**: Context loading, decision recording, validation, session management

### Installation

```bash
# Cursor - One click in README
# Claude Code
claude mcp add sensei -- uvx sensei-mcp
# Or with pip
pip install sensei-mcp
```

### What's Included

- 32 file type patterns
- 57 engineering standard sections
- Session-based architectural memory
- Multi-project support

See [README.md](https://github.com/amarodeabreu/sensei-mcp#readme) for full documentation.

```

## 5. Test End-to-End Install (10 minutes)

```bash
# In a clean environment/machine, test each install method:

# Test 1: uvx (most common)
uvx sensei-mcp

# Test 2: pip
pip install sensei-mcp
sensei-mcp

# Test 3: Claude Code CLI
claude mcp add sensei -- uvx sensei-mcp

# Test 4: Cursor deeplink (click button in README)

# Verify server starts and tools are available
```

## 6. Update README badges (2 minutes)

After PyPI publish, the badges will work automatically:

- `![PyPI](https://img.shields.io/pypi/v/sensei-mcp)` will show version
- Test by viewing README on GitHub

## 7. Optional: Share & Promote

- Post on Twitter/X with #MCP #Claude hashtag
- Share in FastMCP Discord/community
- Post on relevant subreddits (r/ClaudeAI, r/LocalLLaMA)
- Add to MCP server directories/lists

## Troubleshooting

**If PyPI upload fails:**

- Check package name isn't taken (search pypi.org)
- Verify pyproject.toml has correct metadata
- Ensure you have API token, not password

**If tests fail:**

- Check that `src/sensei_mcp/core-directives.md` exists
- Verify all imports use `sensei_mcp.server`
- Run `pip install -e .[dev]` to get test dependencies

**If uvx doesn't work:**

- Ensure uvx is installed: `pip install uvx` or `pipx install uvx`
- Try `uvx --python 3.10 sensei-mcp` to specify Python version

---

**Estimated Total Time: 30-40 minutes**

The project is 100% ready - these are just the publishing steps! Let me know if you hit any issues.
