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worksona-mcp-server

v2.5.3

Published

MCP server for Worksona agent integration with Claude Desktop

Readme

Worksona MCP Server

A comprehensive MCP (Model Context Protocol) server that integrates all Worksona agents with Claude Desktop, providing automated agent discovery, multi-agent coordination, and enterprise-level AI capabilities.

🎯 Features

  • Actionable Resources: Ready-to-use task templates, workflows, examples, and quick actions
  • Automatic Agent Discovery: Loads 100+ Worksona agents from the repository automatically
  • Multi-Agent Coordination: Four coordination patterns (sequential, parallel, review, executive)
  • Intelligent Agent Suggestions: AI-powered agent matching for requests
  • Task Templates: Pre-configured prompts for common development tasks
  • Workflow Orchestration: Multi-agent workflows for complex projects
  • Example Prompts: Real-world scenarios with detailed implementation guides
  • Quick Actions: Fast solutions for immediate needs
  • Memory Management: Persistent context and cross-agent memory
  • Enterprise Integration: Full tool access and production-ready architecture

🚀 Quick Start

Prerequisites

  • Node.js 18+
  • Claude Desktop with MCP support

Installation

  1. Install the MCP server globally:

    npm install -g worksona-mcp-server
  2. Configure Claude Desktop: Add to ~/.claude-desktop/config.json (macOS) or %APPDATA%/Claude/config.json (Windows):

    {
      "mcpServers": {
        "worksona-agents": {
          "command": "/usr/local/bin/worksona-mcp-server"
        }
      }
    }

    Note: No API key needed! The MCP server automatically detects it's running inside Claude Desktop and uses Claude's built-in AI processing.

  3. Restart Claude Desktop to load the MCP server

🎮 Usage Examples

Attach Task Templates

Instead of writing prompts from scratch, attach task template resources for instant, professional prompts:

  1. Browse Resources in Claude Desktop's attachment panel
  2. Attach "📚 API Documentation" task template
  3. Customize the provided prompt with your API details
  4. Submit - Claude automatically activates the doc-writer agent

Attach Workflow Resources

For complex projects, attach workflow resources that coordinate multiple agents:

  1. Attach "🚀 Full-Stack Application" workflow
  2. Customize the workflow prompt with your project requirements
  3. Submit - Claude automatically uses coordinate_team with 4 specialists

Attach Example Prompts

Get detailed guidance for common scenarios:

  1. Attach "💡 Startup MVP Development" example
  2. Follow the comprehensive prompt template
  3. Get coordinated help from product, technical, and marketing specialists

Attach Quick Actions

For immediate needs:

  1. Attach "🐛 Quick Bug Fix" action
  2. Fill in the bug details
  3. Get rapid debugging from the error-detective agent

Traditional Tool Usage

You can still use tools directly:

I need to create API documentation for my REST service

Claude will use the activate_agent tool with doc-writer automatically.

Research Workflows

Research the competitive landscape for AI coding assistants

Claude will use the research_workflow tool to deploy a team of research specialists.

📎 Attachable Resources

The MCP server provides 21 actionable resources organized into 4 categories:

🎯 Task Templates (6 resources)

Ready-to-use prompts for common development tasks:

  • 📚 API Documentation - Comprehensive API docs with examples
  • 🔍 Code Review - Security, performance, and best practices analysis
  • ⚡ Database Optimization - Query and schema optimization
  • 🔒 Security Audit - Vulnerability assessment and compliance
  • 🎨 Frontend Component - Modern React/Vue components with TypeScript
  • 🔧 Backend API - Scalable REST/GraphQL API design

🔄 Workflows (5 resources)

Multi-agent coordination for complex projects:

  • 🚀 Full-Stack Application - Complete app development pipeline
  • 🛡️ Security Review Workflow - Multi-stage security assessment
  • ⚡ Performance Optimization - Systematic performance improvement
  • 📊 Market Research - Comprehensive market analysis
  • 🔄 DevOps Pipeline - End-to-end CI/CD setup

💡 Example Prompts (5 resources)

Real-world scenarios with detailed guidance:

  • 💡 Startup MVP Development - From idea to launch
  • 🔄 Legacy System Modernization - Migration strategies
  • 🤖 AI Feature Integration - Adding AI to existing apps
  • 📱 Mobile App Development - Cross-platform mobile apps
  • 📈 Data Pipeline & Analytics - Data processing systems

⚡ Quick Actions (5 resources)

Fast solutions for immediate needs:

  • 🐛 Quick Bug Fix - Rapid debugging (15-30 min)
  • ⚡ Performance Check - Fast performance analysis (20-45 min)
  • 🔍 Security Scan - Quick vulnerability assessment (25-40 min)
  • 📖 Code Explanation - Understand existing code (15-25 min)
  • 🤔 Technology Decision - Expert tech advice (20-35 min)

🔧 Available MCP Tools

| Tool | Description | Use Case | |------|-------------|-----------| | activate_agent | Activate a single agent with expertise | Specific tasks requiring domain expertise | | coordinate_team | Coordinate multiple agents | Complex multi-faceted projects | | suggest_agents | Get AI-powered agent recommendations | When unsure which agent to use | | list_agents | Browse available agents by category | Discovering capabilities |

📁 Architecture

src/
├── agents/           # Agent system core
│   ├── types.ts     # Type definitions
│   ├── registry.ts  # Agent discovery and management
│   └── executor.ts  # Agent execution engine
├── orchestration/   # Multi-agent coordination
│   ├── coordinator.ts  # Workflow orchestration
│   └── memory.ts      # Cross-agent memory
├── utils/           # Utilities
│   ├── context.ts   # Project context management
│   └── logger.ts    # Structured logging
└── index.ts         # Main MCP server

🔍 Troubleshooting

Server Won't Start

  • Check Node.js version (18+ required)
  • Verify worksona-teams directory exists
  • Check console for error messages

Agents Not Loading

  • Ensure WORKSONA_TEAMS_PATH environment variable is set
  • Verify agent metadata.json files are valid
  • Check file permissions

Claude Desktop Not Connecting

  • Verify MCP server configuration in Claude Desktop
  • Restart Claude Desktop after configuration changes
  • Check Claude Desktop logs for connection errors

🛠️ Development

Building from Source

npm install
npm run build
npm start

Environment Variables

  • WORKSONA_TEAMS_PATH: Path to worksona-teams repository
  • NODE_ENV: Environment (development/production)
  • LOG_LEVEL: Logging level (debug/info/warn/error)

Adding Custom Agents

  1. Place agent files in worksona-teams directory structure
  2. Follow the standard agent format (metadata.json + agent.md)
  3. Restart the MCP server to reload agents

📊 Performance

  • Agent Discovery: ~2-3 seconds for 100+ agents
  • Single Agent Execution: ~500-2000ms average
  • Multi-Agent Coordination: ~2-10 seconds depending on complexity
  • Memory Usage: ~50-100MB typical operation

🔒 Security

  • Agent prompts are executed in isolated contexts
  • No direct file system access outside designated paths
  • Memory is automatically cleaned to prevent data leaks
  • All inputs are validated before processing

📝 License

MIT License - see LICENSE file for details.

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Run tests: npm test
  5. Submit a pull request

📞 Support

  • Check the troubleshooting section above
  • Review Claude Desktop MCP documentation
  • Open an issue for bugs or feature requests