Comprehensive documentation lifecycle management powered by an MCP (Model Context Protocol) server. Automates documentation creation, maintenance, quality assessment, and synchronization for software projects.
- Automatic change detection - Track code changes and affected documentation
- Link validation - Find broken links and missing assets
- Quality assessment - Evaluate docs against 7 quality criteria
- Symbol tracking - TreeSitter-based code symbol extraction
- Dependency mapping - Automatic code-to-docs relationships
- Platform detection - Auto-detect MkDocs, Sphinx, Hugo, Docusaurus, etc.
- Documentation migration - Restructure docs with git history preservation
The doc-management plugin provides an interactive documentation workflow with specialized agents and quick commands, powered by the doc-manager MCP server.
Install:
# Add the marketplace
/plugin marketplace add ari1110/doc-manager-mcp
# Install the plugin (automatically configures MCP server)
/plugin install doc-manager@doc-manager-suiteWhat you get:
@doc-expert- Documentation expert who analyzes state and directs next steps@doc-writer- Content specialist who creates/updates docs/doc-status,/doc-sync,/doc-quality- Quick commands for common workflows
Example workflow:
You: "Set up documentation management"
Claude: [Invokes @doc-expert to detect platform and initialize]
You: "/doc-sync"
Claude: [Detects changes, updates docs via @doc-writer, validates, updates baselines]
You: "Check quality before release"
Claude: [Runs quality assessment and shows actionable findings]
See the Claude Code Plugin guide for details.
For using the MCP server without the plugin.
Claude Code:
claude mcp add doc-manager --scope project -- uvx doc-manager-mcpClaude Desktop:
Add to your claude_desktop_config.json:
{
"mcpServers": {
"doc-manager": {
"command": "uvx",
"args": ["doc-manager-mcp"]
}
}
}Restart your client. Your AI assistant can then use the 8 doc-manager tools directly.
Other MCP clients:
See Installation Guide for local development setup and alternative installation methods.
With Claude Code plugin:
You: "Set up documentation management for this project"
You: "/doc-sync"
With any MCP client:
Ask your AI assistant to initialize documentation management, check sync status, or validate quality. The AI will use the appropriate tools (docmgr_init, docmgr_sync, etc.) automatically.
See Quick Start Guide for complete workflows and examples.
The doc-manager MCP server provides 8 tools for documentation management:
docmgr_init- Initialize doc-manager for a project (modes:existing,bootstrap)docmgr_detect_changes- Detect code/doc changes (read-only, never writes baselines)docmgr_detect_platform- Auto-detect documentation platform (MkDocs, Sphinx, Hugo, etc.)docmgr_validate_docs- Check for broken links, missing assets, invalid code snippetsdocmgr_assess_quality- Evaluate documentation against 7 quality criteriadocmgr_update_baseline- Update all baselines atomically (repo, symbols, dependencies)docmgr_sync- Orchestrate change detection + validation + quality + baseline updatesdocmgr_migrate- Restructure/migrate documentation with git history preservation
See Tools Reference for complete API documentation.
Doc-manager maintains 3 baseline files in .doc-manager/memory/:
repo-baseline.json- File checksums and metadatasymbol-baseline.json- TreeSitter code symbols (functions, classes)dependencies.json- Code-to-docs dependency mappings
Workflow:
1. docmgr_init → Create initial baselines
2. (make code changes)
3. docmgr_detect_changes → Detect changes (read-only)
4. (update documentation)
5. docmgr_update_baseline → Refresh baselines
Or use docmgr_sync mode="resync" to combine steps 3-5.
Example .doc-manager.yml:
platform: mkdocs
use_gitignore: true
exclude:
- "tests/**"
sources:
- "src/**/*.py"
docs_path: docs
metadata:
language: Python
created: '2025-01-19T20:00:00'
version: '2.0.0'See Configuration Reference for all options.
# All tests
uv run pytest
# Unit tests only
uv run pytest tests/unit/
# With coverage
uv run pytest --cov=doc_manager_mcp# Install in development mode
pip install -e .
# Run server (stdio transport)
doc-manager-mcp
# Or with uv
uvx --from . doc-manager-mcp# Ruff (linter + formatter)
uv run ruff check .
uv run ruff format .
# Pyright (type checker)
uv run pyright- Create implementation in
doc_manager_mcp/tools/ - Define Pydantic model in
doc_manager_mcp/models.py - Register tool in
doc_manager_mcp/server.pywith@mcp.tool - Add tests in
tests/unit/andtests/integration/ - Update documentation
MIT License