AI Integration with MCP
NeoArc Studio includes an embedded MCP server that allows AI coding assistants to create documentation, manage data models, and query project structures directly.
AI-Assisted Documentation at Scale
NeoArc Studio embeds a Model Context Protocol (MCP) server directly inside the application. When enabled, any MCP-compatible AI tool can connect to your running instance and work with your documentation project using structured, validated operations.
This is not a generic AI integration. The MCP server understands NeoArc's file formats, content block types, data model structures, and validation rules. It guides AI assistants to produce correctly structured content and provides real-time feedback when something needs correcting.
How It Works
The MCP server runs as a local HTTP service inside the Electron application, listening on 127.0.0.1 only. When you enable it in Settings, AI tools can connect using the standard MCP protocol over HTTP. The server exposes tools that the AI can call, resources it can read, and instructions that guide its behaviour.
Eight MCP Servers, 106 Tools
NeoArc Studio exposes eight logical MCP servers through a single connection endpoint. The AI tool sees all 106 tools and 17 resources from all servers and uses whichever is relevant to the user's request.
Compatible AI Tools
The MCP server works with any AI tool that supports the Model Context Protocol. This is an open standard with growing adoption across the industry.
Security and Deployment Options
The MCP server is designed with security as a priority. It is entirely optional, off by default, and can be fully removed from builds for environments that require it.