AI Integration Guide

Use MossDocs with Claude Desktop (MCP) or ChatGPT (GraphQL API). Automate workflows, create documents, and manage your workspace with AI assistance.

Using MossDocs with Claude Desktop
Control MossDocs with natural language through the Model Context Protocol (MCP). Create documents, manage workspaces, and search content conversationally.

MossDocs includes an MCP server that integrates seamlessly with Claude Desktop. Once configured, you can control your entire MossDocs workspace through natural conversation.

Complete MCP Setup Guide

Example Prompts for Claude Desktop

Create a New Document
Create a new document called "API Specification" in the Engineering workspace
Show All Documents
Show me all documents in the Policies folder
Check Pending Reviews
What documents are pending my review?
List All Workspaces
List all workspaces I have access to
Search Documents
Find documents containing "security policy"
View Document Changes
Show me changes to "Privacy Policy" since last week
Show Recent Updates
Show all documents updated in the last 7 days
Check Workspace Access
Who has access to the Legal workspace?
Approve a Document
Approve the document "Employee Handbook Draft"
View Version History
Show me the version history for "Terms of Service"
Create Folder Structure
Create a folder called "Q1 2026 Planning" in my current workspace
Bulk Organization
Show me all documents without a folder assignment so I can organize them

Best Practices for AI-Assisted Document Management

Use Descriptive Document Titles

Clear, descriptive titles help AI assistants understand and find your documents more easily. Include key terms and context.

Structure Folders by Project/Team

Organize documents in logical folder hierarchies. This makes AI queries more effective and helps with workspace organization.

Leverage Version Control for AI Edits

When using AI to edit documents, every change is tracked in Git. Review the diff before approving AI-generated changes.

Set Up Approval Workflows First

Configure approval workflows before running bulk AI operations. This ensures all changes go through proper review processes.

Troubleshooting Common Issues

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