Publishing an MCP Server: A Complete Journey to the MCP Registry

Author: Uttam Jaiswal Date: February 2026 Project: DevOps Practices MCP Server Repository: https://github.com/ai-4-devops/devops-practices Package: https://pypi.org/project/devops-practices-mcp/

Introduction
Phase 1: Repository Setup and Configuration
Phase 2: CI/CD Migration
Phase 3: MCP Registry Submission - The Dual Approach
Phase 4: The PyPI Pivot
Phase 5: Final Registry Publication
Lessons Learned
Complete Timeline

Introduction

This is the story of publishing my first MCP (Model Context Protocol) server to Anthropic's official registry. What started as a simple submission turned into a comprehensive journey through Python packaging, CI/CD setup, and navigating the MCP registry validation system.

The Goal: Publish a DevOps knowledge base MCP server that provides best practices and templates for infrastructure teams.

The Challenge: Understanding the MCP registry requirements, dealing with validation errors, and choosing the right publishing approach when the initial path hit blockers.

The Outcome: Successfully published to both PyPI and the MCP Registry with professional CI/CD infrastructure and comprehensive documentation.

Phase 1: Repository Setup and Configuration

Initial Setup

# Configure remote
cd /home/ukj/.mcp-servers/devops-practices
git remote remove origin
git remote add origin git@github.com:ai-4-devops/devops-practices.git

# Push everything
git push -u origin main
git push origin develop
git push origin --tags

The SSH Hurdle

Error: Host key verification failed

Solution: Manual SSH approval in terminal before git commands work. This is a one-time security verification.

Repository Configuration

Configured comprehensive GitHub settings:

Features Enabled:

✅ Issues (for bug tracking)
✅ Projects (for roadmap)
✅ Discussions (for community)
✅ Wiki (for extended docs)

Branch Protection (main):

Require pull request before merging
Require status checks to pass
Require at least 1 approval
Block force pushes
Do not allow deletions

Branch Protection (develop):

Require pull request before merging
Require status checks to pass
Block force pushes

Status Badges Added:

[![CI/CD Pipeline](https://github.com/ai-4-devops/devops-practices/actions/workflows/ci.yml/badge.svg)](https://github.com/ai-4-devops/devops-practices/actions/workflows/ci.yml)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
[![MCP Server](https://img.shields.io/badge/MCP-Server-green.svg)](https://modelcontextprotocol.io)

Phase 2: CI/CD Migration

The Challenge

Repository had .gitlab-ci.yml but was now on GitHub. Needed to migrate 7 validation jobs to GitHub Actions while preserving all logic.

The Migration

Original GitLab CI Jobs:

health-check
python-validation
practice-validation
template-validation
link-checker
release-validation
branch-info

GitHub Actions Conversion:

Created .github/workflows/ci.yml:

name: CI/CD Pipeline

on:
  push:
    branches:
      - main
      - develop
      - 'feature/**'
      - 'release/**'
      - 'hotfix/**'
  pull_request:
    branches:
      - main
      - develop

jobs:
  health-check:
    name: Health Check
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.10'
      - run: bash health-check.sh
      - uses: actions/upload-artifact@v4
        if: failure()
        with:
          name: health-check-logs
          path: health-check.log
          retention-days: 7

  python-validation:
    name: Python Validation
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: actions/setup-python@v5
        with:
          python-version: '3.10'
      - run: pip install -r requirements.txt
      - run: |
          python -c "import json; import logging; import sys; from pathlib import Path"
          python -m py_compile mcp-server.py

  # ... additional jobs for practice, template, link validation

Key Differences:

GitLab: image: python:3.10 → GitHub: uses: actions/setup-python@v5
GitLab: script: → GitHub: run:
GitLab: artifacts: → GitHub: uses: actions/upload-artifact@v4

Cleanup:

git rm .gitlab-ci.yml
git commit -m "ci: Remove GitLab CI configuration (migrated to GitHub Actions)"

Phase 3: MCP Registry Submission - The Dual Approach

Understanding the Options

Anthropic's MCP Registry offers two submission methods:

Discussion-based: Manual review by maintainers
CLI-based: Automated validation and publishing

I decided to do BOTH for maximum coverage and redundancy.

Option A: Discussion Submission

Created comprehensive post: modelcontextprotocol/registry#974

Submission Structure:

## Server Name
io.github.ai-4-devops/devops-practices

## Description
AI-powered DevOps knowledge base providing 11 best practices and 7 templates...

## Repository
https://github.com/ai-4-devops/devops-practices

## Installation
npx -y @anthropic-ai/mcp-server-devops-practices

## Relevant Links
- Documentation: [README.md]
- Practices: List of 11 practices
- Templates: List of 7 templates

Status: Submitted, awaiting manual review

Option B: CLI Publisher

Installation:

# Install Go and build CLI
sudo apt-get update && sudo apt-get install -y golang-go
cd /tmp
git clone https://github.com/modelcontextprotocol/registry.git
cd registry/cli/mcp-publisher
go build -o ~/registry/bin/mcp-publisher

Authentication:

~/registry/bin/mcp-publisher login github
# Opens browser → GitHub OAuth → Device code: 0302-083D

The server.json Evolution

This is where the real learning happened. The server.json file went through 6+ iterations before passing validation.

Iteration 1: Missing Schema

{
  "name": "devops-practices",
  "description": "...",
  "version": "1.3.0"
}

Error: expected length >= 1 at body.$schema

Fix: Added schema version:

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  ...
}

Iteration 2: Description Too Long

{
  "description": "AI-powered DevOps knowledge base for Claude - MCP server with 11 best practices, 7 templates, and automation tools for infrastructure teams"
}

Error: expected length <= 100 at body.description Length: 147 characters

Fix: Shortened to 81 characters:

{
  "description": "AI-powered DevOps knowledge base with practices, templates, and automation tools"
}

Iteration 3: Invalid Name Format

{
  "name": "devops-practices"
}

Error: expected string to match pattern ^[a-zA-Z0-9.-]+/[a-zA-Z0-9._-]+$

Fix: Added namespace:

{
  "name": "io.github.ai-4-devops/devops-practices"
}

Iteration 4: Repository Structure Issues

{
  "repository": "https://github.com/ai-4-devops/devops-practices"
}

Error: expected object, received string

Fix: Proper repository object:

{
  "repository": {
    "url": "https://github.com/ai-4-devops/devops-practices",
    "source": "github"
  }
}

Iteration 5: Package Arguments Type

{
  "packages": [{
    "packageArguments": [
      {"name": "-m", "value": "devops_practices_mcp"}
    ]
  }]
}

Error: value must be 'positional' at body.packages[0].packageArguments[0].type

Fix: Added type field:

{
  "packageArguments": [
    {"type": "named", "name": "-m", "value": "devops_practices_mcp"}
  ]
}

Iteration 6: The GitHub Registry Blocker

Attempted Configuration:

{
  "packages": [{
    "registryType": "github",
    "identifier": "ai-4-devops/devops-practices"
  }]
}

Error: unsupported registry type: github

Supported Types: npm, pypi, nuget, maven

Impact: CLI-based publishing blocked! This led to Phase 6...

Permission Issues Encountered

Issue 1: Organization Membership

Error:

You do not have permission to publish this server.
You have permission to publish: io.github.ukjaiswal/*
Attempting to publish: io.github.ai-4-devops/devops-practices
you may need to make your organization membership public

Fix:

Navigate to https://github.com/orgs/ai-4-devops/people
Change membership from Private → Public

Issue 2: Token Expiration

Error: Invalid or expired Registry JWT token

Fix: Re-authenticate:

~/registry/bin/mcp-publisher login github

Lesson: Tokens expire after some time; keep authentication fresh during multi-step processes.

Phase 4: The PyPI Pivot

The Decision Point

With GitHub registry type unsupported, I had to publish to a supported registry. PyPI (Python Package Index) was the natural choice for a Python-based MCP server.

Creating Proper Python Package Structure

Before: Direct Script

devops-practices/
├── mcp-server.py
├── practices/
└── templates/

After: Proper Package

devops-practices/
├── src/
│   └── devops_practices_mcp/
│       ├── __init__.py
│       ├── __main__.py
│       └── practices/
│           └── templates/
├── pyproject.toml
└── README.md

Building with uv

Why uv? Modern, fast Python package manager recommended for 2026.

# Install uv
curl -LsSf https://astral.sh/uv/install.sh | sh

# Create package structure
mkdir -p src/devops_practices_mcp/{practices,templates}
cp mcp-server.py src/devops_practices_mcp/__main__.py
cp -r practices/* src/devops_practices_mcp/practices/
cp -r templates/* src/devops_practices_mcp/templates/

# Create __init__.py
cat > src/devops_practices_mcp/__init__.py << 'EOF'
"""DevOps Practices MCP Server.

Provides shared DevOps practices and templates for infrastructure projects.
"""

__version__ = "1.3.0"

def main():
    """Entry point for the MCP server."""
    from . import __main__
    __main__.main()

__all__ = ["main", "__version__"]
EOF

Creating pyproject.toml

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "devops-practices-mcp"
version = "1.3.0"
description = "AI-powered DevOps knowledge base with practices, templates, and automation tools"
readme = "README.md"
requires-python = ">=3.10"
license = {text = "MIT"}
authors = [
    {name = "Uttam Jaiswal", email = "uttam.jaiswal@example.com"}
]
keywords = [
    "mcp", "devops", "automation", "best-practices",
    "infrastructure", "configuration-management",
    "templates", "knowledge-base", "claude", "ai"
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Developers",
    "Intended Audience :: System Administrators",
    "License :: OSI Approved :: MIT License",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.10",
    "Programming Language :: Python :: 3.11",
    "Programming Language :: Python :: 3.12",
    "Topic :: Software Development :: Libraries :: Python Modules",
    "Topic :: System :: Systems Administration",
]

[project.urls]
Homepage = "https://github.com/ai-4-devops/devops-practices"
Documentation = "https://github.com/ai-4-devops/devops-practices/blob/main/README.md"
Repository = "https://github.com/ai-4-devops/devops-practices"
Issues = "https://github.com/ai-4-devops/devops-practices/issues"

[project.scripts]
devops-practices-mcp = "devops_practices_mcp:main"

[tool.hatch.build.targets.wheel]
packages = ["src/devops_practices_mcp"]

[tool.hatch.build]
include = [
    "src/devops_practices_mcp/**/*.py",
    "src/devops_practices_mcp/practices/**/*.md",
    "src/devops_practices_mcp/templates/**/*.md",
]

PyPI Account and Token Creation

Steps:

Created account at https://pypi.org/account/register/
Verified email address
Generated API token at https://pypi.org/manage/account/token/
Token Scope Question: Should scope be "Entire account" or project-specific?

Answer: For first upload, use "Entire account" scope. After package exists, can create project-scoped tokens for better security.

Building and Publishing

# Build package
cd /home/ukj/.mcp-servers/devops-practices
uv build

# Output:
# Building devops-practices-mcp
# ├── Built devops_practices_mcp-1.3.0-py3-none-any.whl
# └── Built devops_practices_mcp-1.3.0.tar.gz

# Publish to PyPI
uv publish
# Enter PyPI token when prompted
# [token hidden for security]

# Success!
# Uploading devops_practices_mcp-1.3.0.tar.gz
# Uploading devops_practices_mcp-1.3.0-py3-none-any.whl

Verification

Package live at: https://pypi.org/project/devops-practices-mcp/

Installation test:

pip install devops-practices-mcp
devops-practices-mcp --version
# Output: 1.3.0

Phase 5: Final Registry Publication

Updating server.json for PyPI

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.ai-4-devops/devops-practices",
  "description": "AI-powered DevOps knowledge base with practices, templates, and automation tools",
  "repository": {
    "url": "https://github.com/ai-4-devops/devops-practices",
    "source": "github"
  },
  "version": "1.3.0",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "devops-practices-mcp",
      "version": "1.3.0",
      "transport": {"type": "stdio"},
      "runtimeHint": "python3",
      "packageArguments": [
        {"type": "named", "name": "-m", "value": "devops_practices_mcp"}
      ],
      "environmentVariables": []
    }
  ]
}

The Ownership Validation Error

First Attempt:

~/registry/bin/mcp-publisher publish server.json

Error:

PyPI package 'devops-practices-mcp' ownership validation failed.
The server name 'io.github.ai-4-devops/devops-practices' must appear as
'mcp-name: io.github.ai-4-devops/devops-practices' in the package README.

The Fix: MCP Name Marker

Added to README.md:

# DevOps Practices MCP Server

mcp-name: io.github.ai-4-devops/devops-practices

AI-powered DevOps knowledge base providing best practices and templates...

Why? This marker proves PyPI package ownership for MCP registry. It links the PyPI package to the MCP server name.

Version Bump to 1.3.1

Since we modified README, needed new version:

# Update version in all files
# - pyproject.toml
# - src/devops_practices_mcp/__init__.py
# - server.json

# Rebuild and republish to PyPI
uv build
uv publish

Upload output:

Uploading devops_practices_mcp-1.3.1-py3-none-any.whl (70 KB)
Uploading devops_practices_mcp-1.3.1.tar.gz (60 KB)

The Final Success

~/registry/bin/mcp-publisher publish server.json

Output:

Publishing server io.github.ai-4-devops/devops-practices to version 1.3.1
Resolving package identifier: devops-practices-mcp
Downloading package from pypi
Extracting package
Validating package
Searching for 'mcp-name: io.github.ai-4-devops/devops-practices' in README
✓ Successfully published
✓ Server io.github.ai-4-devops/devops-practices version 1.3.1

Final Commit

git add -A
git commit -m "$(cat <<'EOF'
feat: Successfully publish to MCP Registry v1.3.1

- Added mcp-name marker to README for ownership validation
- Bumped version from 1.3.0 to 1.3.1
- Rebuilt and republished to PyPI
- Successfully published to MCP Registry

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
EOF
)"
git push origin main

Phase 6: Version 1.4.0 - Major Enhancement Release

The Context (February 20, 2026)

After v1.3.1 was successfully published, we discovered and fixed critical issues while also implementing a major reorganization.

Changes in v1.4.0

Critical Bug Fix:

Fixed MCP server stdio protocol corruption
Root cause: Default logging wrote to stderr, corrupting JSON-RPC 2.0 messages
Solution: FileHandler-only logging to ~/.cache/claude/mcp-devops-practices.log
Impact: Server stability now matches dev-kit reliability

Major Feature: GG-SS Reorganization

Reorganized all 11 practices with Group-Sequence prefix pattern
Created 4 logical groups for better discoverability:
- Group 01: Workflow & Processes (3 practices)
- Group 02: Version Control & PM (2 practices)
- Group 03: Infrastructure & Configuration (3 practices)
- Group 04: Documentation Standards (3 practices)
Used git mv to preserve 100% git history
Inspired by dev-kit's hierarchical organization

New Features:

Added 2 new MCP tools: get_practice_summary, search_practices
Enhanced list_practices with metadata extraction
Improved server from 237 → 337 lines
Total MCP tools: 5 → 7

Publication Process

Step 1: Building the Package

cd /home/ukj/.mcp-servers/devops-practices-mcp

# Clean previous builds
rm -rf dist/ build/ *.egg-info

# Build with uv (modern Python package manager)
uv build

# Output:
# Successfully built devops_practices_mcp-1.4.0-py3-none-any.whl (80 KB)
# Successfully built devops_practices_mcp-1.4.0.tar.gz (64 KB)

Step 2: Publishing to PyPI

# Using uv publish
uv publish

# Note: .pypirc configuration recommended for credentials
# ~/.pypirc with [pypi] section containing username and password

Result: ✅ https://pypi.org/project/devops-practices-mcp/1.4.0/

Step 3: Publishing to MCP Registry

Challenge Discovered: The registry structure had changed since v1.3.1!

Old path (from Phase 5):

cd /tmp/registry/cli/mcp-publisher  # ❌ No longer exists

New path (February 2026):

cd /tmp/registry/cmd/publisher  # ✅ Correct path

Updated Build Process:

# Clone registry (if not already done)
cd /tmp
git clone https://github.com/modelcontextprotocol/registry.git

# Navigate to CORRECT path
cd /tmp/registry/cmd/publisher

# Build mcp-publisher
mkdir -p ~/registry/bin
go build -o ~/registry/bin/mcp-publisher

# Make executable
chmod +x ~/registry/bin/mcp-publisher

Authentication:

~/registry/bin/mcp-publisher login github
# Opens browser for GitHub OAuth
# Authorize and return to terminal

Publish to Registry:

cd /home/ukj/.mcp-servers/devops-practices-mcp
~/registry/bin/mcp-publisher publish server.json

Expected Output:

Publishing server io.github.ai-4-devops/devops-practices to version 1.4.0
Resolving package identifier: devops-practices-mcp
Downloading package from pypi
Extracting package
Validating package
Searching for 'mcp-name: io.github.ai-4-devops/devops-practices' in README
✓ Successfully published
✓ Server io.github.ai-4-devops/devops-practices version 1.4.0

Key Learnings from v1.4.0

1. Registry Structure Evolution

MCP registry moved from cli/mcp-publisher → cmd/publisher
Always check current repository structure
Don't blindly follow old documentation

2. Token Storage Security

Use ~/.pypirc for PyPI credentials (industry standard)
Keep tokens outside repository
Use chmod 600 for proper permissions

3. Breaking Changes Communication

v1.4.0 had breaking changes (practice name changes)
Comprehensive CHANGELOG.md is critical
Provide migration guide with examples

4. Git History Preservation

git mv preserves 100% rename history
Shows as "renamed" not "deleted + added"
Critical for code archaeology and blame

5. Version Bumping

Update ALL version references consistently:
- pyproject.toml
- src/package/init.py
- server.json (both places)
- Update CHANGELOG.md

Timeline for v1.4.0

Preparation Phase:

Fixed critical logging bug
Implemented GG-SS reorganization (11 practices renamed)
Enhanced MCP server with 2 new tools
Updated all documentation
Committed 12 commits on feature branch
Merged PR to main (no squash - preserved history)
Tagged v1.4.0 in git

Publication Phase:

Built package with uv build (5 seconds)
Published to PyPI with uv publish (30 seconds)
Discovered registry structure changed
Found correct path: cmd/publisher
Built mcp-publisher CLI
Authenticated with GitHub OAuth
Published to MCP Registry (1 minute)

Total Time: ~2 minutes (after initial troubleshooting)

Version Comparison

Aspect	v1.3.1	v1.4.0	Change
Practices	11	11	Reorganized with GG-SS
Templates	7	7	No change
MCP Tools	5	7	+2 new tools
Code Lines	237	337	+100 lines
Stability	Unstable	Stable	Critical fix
Organization	Flat	Hierarchical	4 groups

Lessons Learned

1. CI/CD Platform Migration

GitHub Actions syntax differs significantly from GitLab CI
Core logic (validation scripts) remains the same
Pay attention to artifact upload/download differences
Test workflows thoroughly before relying on them

2. MCP Registry Submission is Iterative

Dual approach (Discussion + CLI) provides redundancy
server.json schema is strict - expect multiple validation failures
Read error messages carefully - they're specific and helpful
Not all registry types are supported (github is NOT supported)

3. PyPI Publishing Requirements

Proper Python package structure is essential (src layout recommended)
pyproject.toml with complete metadata improves discoverability
Use modern tools like uv for faster, simpler workflows
Account-scoped tokens for first upload, project-scoped for maintenance

4. Ownership Validation

MCP registry validates PyPI package ownership
mcp-name: namespace/server-name marker in README is required
Version bumps are needed when README changes
The marker links PyPI package to MCP server identity

5. Authentication and Permissions

OAuth tokens expire - keep authentication fresh
Organization membership must be public for publishing
Permission errors often indicate configuration issues, not bugs
Re-authenticate when in doubt

6. Version Management

Semantic versioning (X.Y.Z) is expected
Bump patch version (Z) for documentation changes
Keep versions consistent across all files
Tag releases in git for traceability

7. Documentation Quality Matters

Comprehensive README helps users and reviewers
Status badges communicate project health
Clear installation instructions are critical
Link to practices and templates for transparency

8. Patience and Persistence

Publishing involves multiple subsystems (Git, GitHub, PyPI, MCP Registry)
Each system has its own validation rules and timing
Errors are learning opportunities
The journey from private to public is complex but rewarding

Complete Timeline

Day 1: Repository Setup

✅ Set up GitHub repository under ai-4-devops organization
✅ Configured repository settings and branch protection
✅ Enabled Issues, Projects, Discussions, and Wiki
✅ Added professional status badges to README

Day 2: CI/CD and Initial Submission

✅ Converted GitLab CI to GitHub Actions
✅ Added professional status badges
✅ Posted Discussion-based submission (#974)
✅ Installed mcp-publisher CLI
✅ Attempted CLI-based submission
❌ Hit unsupported registry type blocker

Day 3: PyPI Publishing

✅ Created proper Python package structure
✅ Built package with uv
✅ Created PyPI account and API token
✅ Published v1.3.0 to PyPI
✅ Updated server.json to use PyPI
❌ Hit ownership validation error

Day 4: Final Success (v1.3.1)

✅ Added mcp-name marker to README
✅ Bumped version to 1.3.1
✅ Republished to PyPI
✅ Successfully published to MCP Registry
✅ Verified installation from both PyPI and MCP Registry
✅ Created this documentation

Day 5: Version 1.4.0 Release (February 20, 2026)

✅ Fixed critical MCP server stability issue (stdio logging)
✅ Implemented GG-SS reorganization (11 practices, 4 groups)
✅ Added 2 new MCP tools (get_practice_summary, search_practices)
✅ Enhanced list_practices with metadata
✅ Updated comprehensive CHANGELOG.md
✅ Merged PR #2 to main (12 commits, preserved history)
✅ Tagged v1.4.0 in git
✅ Built and published to PyPI
✅ Discovered registry path changed (cli → cmd)
✅ Published to MCP Registry with correct path
✅ Updated JOURNEY.md with v1.4.0 experience

Resources and References

Official Documentation

Project Links

GitHub Repository: https://github.com/ai-4-devops/devops-practices
PyPI Package: https://pypi.org/project/devops-practices-mcp/
MCP Registry Discussion: modelcontextprotocol/registry#974
Personal Website: https://uk4.in
LinkedIn: Connect with me

Tools Used

uv: Python package management
mcp-publisher: MCP registry CLI
GitHub Actions: CI/CD automation
hatchling: Python build backend

Key Files

server.json: MCP registry configuration
pyproject.toml: Python package metadata
.github/workflows/ci.yml: CI/CD pipeline
README.md: Project documentation with mcp-name marker

Conclusion

Publishing an MCP server to the official registry is more than just running a publish command. It's a journey through packaging standards, registry validation, CI/CD setup, and navigating multiple publishing systems.

The failures encountered along the way - from server.json validation errors to PyPI ownership validation - were not obstacles but learning opportunities. Each error message provided specific guidance on what needed to be fixed.

For anyone attempting a similar journey:

Set up proper infrastructure - GitHub Actions, branch protection, and badges matter
Structure properly - proper Python packaging pays dividends
Document thoroughly - help others learn from your experience
Read error messages carefully - they're specific and guide you to solutions
Be persistent - multi-system publishing takes time and patience

The DevOps Practices MCP Server is now live and available for the Claude AI community to use. It provides 11 best practices and 7 templates for infrastructure teams, all validated and published through proper channels.

Final Status (v1.4.0):

✅ GitHub: https://github.com/ai-4-devops/devops-practices
✅ PyPI: https://pypi.org/project/devops-practices-mcp/ (v1.4.0)
✅ MCP Registry: io.github.ai-4-devops/devops-practices v1.4.0
✅ Git Tags: v1.0.0, v1.2.0, v1.3.0, v1.4.0
✅ CI/CD: GitHub Actions with 7 validation jobs
✅ Documentation: Comprehensive README, CHANGELOG, and journey documentation
✅ Features: 11 practices (GG-SS organized), 7 templates, 7 MCP tools
✅ Stability: Critical logging fix - server now stable

Thank you for following this journey. I hope it helps you publish your own MCP servers successfully!

About the Author

Uttam Jaiswal is a DevOps engineer passionate about AI-powered development tools and infrastructure automation. This MCP server represents the intersection of DevOps best practices and AI-assisted development.

Connect: https://uk4.in | https://github.com/ukjaiswal | https://linkedin.com/in/uttamjaiswal

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