🔧 MCP Tools Documentation

12 production-ready tools that amplify human sovereignty through intelligent automation and distributed intelligence coordination

MCP Tools: 12 Active Sovereignty: 95% Framework: Production

🎯 What This Gives You

10x AI Development Velocity through context-rich, sovereignty-preserving tools that work with any AI system while keeping you in complete control.

# Install and experience the revolution
npm install -g csvlod-ai-mcp-server@latest

# Add to Cursor's mcp.json and unlock 12 powerful tools
echo "🐉 Dragon mode: activated"

🔥 Tool Arsenal

Framework Management

csvlod_init

Purpose: Initialize CSVLOD framework

Impact: Transform any repo into AI-native architecture

View Documentation →

csvlod_validate

Purpose: Audit compliance & sovereignty

Impact: 90% accuracy in identifying improvements

View Documentation →

csvlod_generate

Purpose: Generate context components

Impact: Context > Prompts paradigm shift

View Documentation →

csvlod_analyze

Purpose: Analyze context effectiveness

Impact: Measure AI readiness with precision

View Documentation →

Registry & Orchestration

mcp_registry

Purpose: Manage local MCP registry

Impact: Sovereignty-first package management

View Documentation →

mcp_orchestrate

Purpose: Intelligently orchestrate MCP servers

Impact: Automated tool coordination with CSVLOD principles

View Documentation →

Agent Swarm Coordination

swarm_init

Purpose: Initialize agent swarm coordination

Impact: Distributed intelligence with sovereignty preservation

View Documentation →

swarm_decompose

Purpose: Decompose tasks into agent-specific subtasks

Impact: Intelligent task distribution

View Documentation →

swarm_assign

Purpose: Assign tasks to specialized agents

Impact: Optimal agent utilization

View Documentation →

swarm_complete

Purpose: Mark tasks completed and update state

Impact: Automated workflow progression

View Documentation →

swarm_status

Purpose: Get current swarm coordination status

Impact: Real-time swarm monitoring

View Documentation →

swarm_tasks

Purpose: Get details about swarm tasks

Impact: Comprehensive task management

View Documentation →

🚀 Getting Started

1

Install MCP Server

Install the CSVLOD-AI MCP server globally

npm install -g csvlod-ai-mcp-server@latest
2

Configure Your IDE

Add the server to your Cursor or VS Code MCP configuration

View Setup Guide →
3

Initialize Framework

Transform your project with CSVLOD architecture

Use csvlod_init tool in your AI assistant

📚 Additional Resources