Document MCP

Python 3.10+ License: MIT

Document MCP gives writers, researchers, and knowledge-managers first-class control over large-scale Markdown documents with built-in safety features that prevent content loss. Manage books, research papers, and documentation with 37 AI-powered tools including context management, git-backed version history, and semantic search.

Phase 4 Complete ✅ - v0.0.5 Production Ready (February 26, 2026)

🚀 Quick Start

Option 1: Hosted Service (Recommended)

For Claude Desktop users - No installation required. Just add to your Claude Desktop config:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "document-mcp": {
      "url": "https://story-mcp-451560119112.asia-east1.run.app"
    }
  }
}

Restart Claude Desktop. When you first connect:

1. Your browser opens for Google OAuth authentication
2. Sign in with your Google account
3. Claude Desktop securely stores your access token
4. Start managing documents immediately!

What you get:

• 37 MCP tools for document management
• Your own isolated document storage
• Automatic snapshots and git-backed version history
• Cross-session context management
• Semantic search with embeddings
• No setup, no API keys, no maintenance

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Option 2: Local Installation (For Claude Code / Developers)

For Claude Code users or those who want local document storage:

pip install story-mcp

Add to your Claude Code MCP settings:

{
  "mcpServers": {
    "document-mcp": {
      "command": "python",
      "args": ["-m", "story_mcp.doc_tool_server", "stdio"]
    }
  }
}

See the Package Installation Guide for detailed setup with universal path finding.

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📖 What is Document MCP?

Document MCP provides a structured way to manage large stories and documents composed of multiple chapters. Think of it as a file system specifically designed for novels, screenplays, research papers, documentation, or any content that benefits from being split into manageable sections.

Key Features

• 37 MCP Tools (Phase 4 Complete ✅):
  • Story management, chapter operations, paragraph editing
  • Semantic search with embeddings
  • Git-backed version history
  • Cross-session context management (OneContext-inspired)
  • Entity tracking, metadata, and safety features
• Built-in Safety: Git-backed version control, automatic commits, snapshots, and conflict detection
• Pagination System: Page-based content access for large documents (50K chars per page)
• User Isolation: Each authenticated user gets their own isolated storage (hosted version)
• Local-First Option: Keep your stories on your own machine (PyPI version)

Document Organization

.documents_storage/
├── my_novel/                    # A story/document
│   ├── 01-prologue.md          # Chapters ordered by filename
│   ├── 02-chapter-one.md
│   └── 03-chapter-two.md
└── research_paper/             # Another document
    ├── 00-abstract.md
    ├── 01-introduction.md
    └── 02-methodology.md

🛡️ Safety Features

Document MCP includes safety features designed to prevent content loss:

• Automatic Snapshots: Created before every destructive operation
• Named Checkpoints: Create restore points with snapshot_document
• Version Restoration: Roll back to any previous version with restore_snapshot
• Conflict Detection: Warns about potential overwrites from external modifications
• Audit Trail: Complete modification history with timestamps

🌐 Hosted Service Details

The hosted version runs on Google Cloud Run:

Feature	Details
Authentication	OAuth 2.1 with PKCE via Google
Region	asia-east1 (Taiwan)
Scaling	Auto-scales 0-10 instances based on load
Cost	Free for users (scales to zero when idle)

🔧 Tool Categories

Document MCP provides 37 tools organized into 10 categories:

Category	Tools	Description
Document	6	Create, delete, list documents; manage summaries
Chapter	4	Add, edit, delete, list chapters with frontmatter
Paragraph	4	Atomic paragraph operations (insert, replace, delete, move)
Content	6	Read, search, replace, statistics, semantic search, entity tracking
Metadata	3	Chapter frontmatter, entities, timeline management
Safety	3	Git history, restore, diff comparison
Overview	1	Document outline with metadata
Discovery	1	Tool search and discovery
Context	6	Store/recall memories, export/import, list memories
Version	3	Get history, checkout version, compare versions
Discovery	1	Tool search and discovery

🤖 Example Workflows

Basic Document Management

👤 User: Create a new document called 'My Novel'
🤖 Claude: ✅ Created document 'My Novel'

👤 User: Add a chapter called '01-introduction.md' with content '# Chapter 1\n\nIt was a dark and stormy night...'
🤖 Claude: ✅ Created chapter '01-introduction.md' in 'My Novel'

👤 User: List all my documents
🤖 Claude: ✅ Found 1 document: 'My Novel' with 1 chapter

Safety Features in Action

👤 User: Delete paragraph 3 from chapter '02-climax.md' in 'My Novel'
🤖 Claude: ✅ Deleted paragraph 3. Automatic snapshot created for recovery.

👤 User: Actually, restore the last snapshot
🤖 Claude: ✅ Restored from snapshot. Paragraph 3 is back.

Semantic Search

👤 User: Find content similar to "the hero's journey" in my novel
🤖 Claude: ✅ Found 3 paragraphs with similar themes:
   - Chapter 2, paragraph 5 (similarity: 0.89)
   - Chapter 4, paragraph 12 (similarity: 0.82)
   - Chapter 1, paragraph 3 (similarity: 0.78)

🛠️ Development

Prerequisites

• Python 3.10+
• Git

Local Development Setup

# Clone the repository
git clone https://github.com/clchinkc/document-mcp.git
cd document-mcp

# Install with uv (recommended)
uv sync

# Or with pip
pip install -e ".[dev]"

Running Tests

# All tests (528 tests)
uv run pytest

# By tier
uv run pytest tests/unit/           # Fast, isolated tests
uv run pytest tests/integration/    # Real MCP, mocked LLM
uv run pytest tests/e2e/            # Full system (requires API keys)

# Code quality
uv run ruff check --fix && uv run ruff format
uv run mypy document_mcp/

Running the MCP Server Locally

# Start MCP server
uv run python -m document_mcp.doc_tool_server stdio

# Or with PyPI installation
story-mcp stdio

📚 Documentation

Guide	Description
Package Installation	PyPI setup for Claude Code
Manual Testing	Creative writing workflows
MCP Design Patterns	Production patterns and best practices
Testing Strategy	4-tier testing architecture

🤝 Contributing

Contributions welcome! Please run the test suite before submitting PRs:

uv run pytest && uv run ruff check && uv run mypy document_mcp/

📄 License

MIT License - see LICENSE for details.

🙏 Acknowledgments

• Built with Model Context Protocol (MCP)
• Powered by Pydantic AI
• Hosted on Google Cloud Run

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