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Tool: Reactor MCP

Reactor-mcp is a Model Context Protocol (MCP) server for the Powerhouse ecosystem that provides AI agents and tools with structured access to document model operations. It serves as a bridge between AI systems and the Powerhouse document management infrastructure.

Main Functions of the Reactor-mcp​

Document Operations:

  • createDocument - Create new documents
  • getDocument - Retrieve documents by ID
  • addActions - Add actions to modify document state
  • deleteDocument - Remove documents

Drive Operations:

  • getDrives - List all document drives
  • addDrive - Create new drives
  • getDrive - Retrieve specific drives
  • addRemoteDrive - Connect to remote drives

Document Model Operations:

  • getDocumentModels - List available document model types
  • getDocumentModelSchema - Get schema for specific document models
Architecture Context

Within the broader Powerhouse ecosystem:

  • Document Model: Defines structure and operations for document types
  • Document Drive: Manages collections of documents with sync capabilities
  • Reactor-MCP: Provides AI/tool access to document operations
  • Connect/Switchboard: User interfaces and synchronization servers

The reactor-mcp essentially makes the sophisticated document model system accessible to AI agents and external tools through a standardized protocol, enabling programmatic document creation, modification, and management within the Powerhouse ecosystem.

Document Model Agent​

Alongside the MCP is a specialized AI agent for document model creation:

  • Purpose: Guide users through creating document models
  • Workflow: Requirements gathering → Design confirmation → Implementation
  • Tools: Comprehensive set of MCP tools for model management
  • Capabilities:
    • State schema definition
    • Operation creation
    • Module organization
    • Code generation
Supports with:
  1. AI-Assisted Document Model Creation: AI agents can use the MCP tools to help users create and modify document models
  2. Automated Document Management: Programmatic creation and management of documents and drives
  3. Integration with AI Tools: Claude, GPT, or other AI systems can use this as an MCP server to interact with Powerhouse
  4. Development Tooling: CLI and development server for working with document models locally