@agentic-codeflow/mcp

@agentic-codeflow/mcp

A Model Context Protocol (MCP) server providing AI-assisted development workflow commands for any MCP-compatible AI client.

Features

🎯 7 Core Workflow Commands

• research - Comprehensive codebase and documentation analysis
• plan - Create detailed implementation plans
• execute - Implement plans with systematic verification
• test - Generate comprehensive test suites
• document - Create user guides and API documentation
• commit - Create structured git commits
• review - Validate implementations against requirements

🔒 Privacy-Safe

• No PII collection or transmission
• Processes only the content you provide as input
• Commands are generic templates focused on development workflows
• No external API calls or data storage

🚀 Easy Integration

• Works with Claude Desktop, OpenCode, and any MCP-compatible client
• Zero configuration required - works out of the box
• Automatic fallback to built-in templates
• Project-aware when used with codeflow CLI

Quick Start

NPX Usage (Recommended)

# Start MCP server directly with npx
npx @agentic-codeflow/mcp

Installation

# Global installation
npm install -g @agentic-codeflow/mcp

# Or use with npx (no installation required)
npx @agentic-codeflow/mcp

Claude Desktop Setup

Add to your Claude Desktop MCP configuration:

{
  "mcpServers": {
    "codeflow-workflows": {
      "command": "npx",
      "args": ["@agentic-codeflow/mcp"]
    }
  }
}

Configuration file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%/Claude/claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Usage

Once configured, you'll have access to workflow tools in your AI client:

Basic Research

Use tool: research
Input: "Analyze the authentication system in this codebase and identify potential security improvements"

Implementation Planning

Use tool: plan
Input: "Create a plan to add OAuth2 authentication based on the research findings"

Code Implementation

Use tool: execute
Input: "Implement the OAuth2 authentication following the plan step by step"

Test Generation

Use tool: test
Input: "Generate comprehensive tests for the OAuth2 authentication implementation"

Documentation Creation

Use tool: document
Input: "Create user documentation for the new OAuth2 authentication feature"

Git Commit Management

Use tool: commit
Input: "Create proper git commits for the OAuth2 authentication implementation"

Implementation Review

Use tool: review
Input: "Review the OAuth2 implementation against the original requirements"

Get Command Help

Use tool: get_command
Input: { "name": "research" }

Command Details

research

Conducts comprehensive analysis of codebases, documentation, and specific topics. Provides structured findings with actionable insights.

plan

Creates detailed implementation plans with phases, tasks, dependencies, and success criteria. Includes risk assessment and timeline estimates.

execute

Systematically implements plans with incremental testing and documentation. Follows coding standards and best practices.

test

Generates comprehensive test suites including unit, integration, and end-to-end tests. Ensures good coverage and reliability.

document

Creates user guides, API documentation, and technical specifications. Tailored for different audiences with clear examples.

commit

Creates well-structured git commits following conventional commit format. Groups related changes logically.

review

Validates implementations against requirements and quality standards. Provides detailed assessment and recommendations.

Integration with CodeFlow CLI

This MCP server works seamlessly with the codeflow CLI for enhanced project-specific workflows:

# Set up project with codeflow CLI
npm install -g codeflow-cli
codeflow setup my-project

# Start MCP server (will use project-specific commands)
cd my-project
npx @agentic-codeflow/mcp

When used with codeflow CLI, the server will:

• Use project-specific command customizations if available
• Fall back to built-in templates otherwise
• Respect project structure and conventions

Supported AI Clients

• Claude Desktop - Full MCP integration
• OpenCode - Native MCP support
• Custom AI Clients - Any client supporting MCP protocol
• Development Tools - IDEs and editors with MCP plugins

Privacy & Security

✅ What we do:

• Provide generic development workflow templates
• Process only the content you explicitly provide as input
• Run entirely locally on your machine

❌ What we don't do:

• Collect or store any personal information
• Make external API calls
• Access files without explicit input
• Store conversation history or data

Troubleshooting

Server Won't Start

# Check Node.js version (requires 18+)
node --version

# Test direct execution
npx @agentic-codeflow/mcp

# Check for port conflicts
lsof -i :3000

Tools Not Appearing in Claude Desktop

• Restart Claude Desktop completely (not just minimize)
• Check MCP configuration - ensure correct JSON format
• Verify server starts - test with npx @agentic-codeflow/mcp
• Check file permissions - ensure config file is writable

Commands Return Generic Content

This is expected behavior! The MCP server provides generic, privacy-safe command templates. For project-specific customization, use the codeflow CLI.

Development

# Clone and setup
git clone https://github.com/ferg-cod3s/codeflow.git
cd codeflow/packages/agentic-codeflow-mcp
npm install

# Development with hot reload
npm run dev

# Build for production
npm run build

# Test locally
npm start

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

MIT - see LICENSE file for details.

Related Projects

• codeflow CLI - Full codeflow workflow system with project customization
• Model Context Protocol - The protocol specification this server implements

Made with ❤️ for AI-assisted development workflows