MCP server for OCR-generated Markdown document review and diagnostics
Project description
doc-reviewer-mcp
MCP server for OCR-generated Markdown document review and diagnostics.
Features
- ToC Alignment: Compares table of contents with actual headers using fuzzy matching
- LaTeX Formula Validation: Detects syntax errors and OCR noise in formulas
- Image Link Checking: Verifies referenced images exist with similar path suggestions
- Git Integration: Checkpoint, diff, and rollback support for safe batch modifications
Installation
# Using uvx (recommended)
uvx doc-reviewer-mcp
# Using pip
pip install doc-reviewer-mcp
Usage
As MCP Server
Add to your MCP client configuration:
{
"mcpServers": {
"doc-reviewer": {
"command": "uvx",
"args": ["doc-reviewer-mcp"]
}
}
}
Available Tools
analyze_document- Comprehensive document analysisanalyze_toc- Table of contents alignment checkanalyze_formulas- LaTeX formula validationanalyze_images- Image link verificationextract_headers- Extract all markdown headersextract_toc- Extract ToC entriesgit_checkpoint- Create a checkpoint before changesgit_diff_summary- View changes since checkpointgit_rollback- Rollback to previous checkpointgit_history- View commit history
Development
# Clone the repository
git clone https://github.com/yourusername/doc-reviewer-mcp.git
cd doc-reviewer-mcp
# Install dependencies
uv sync
# Run locally
uv run doc-reviewer-mcp
License
MIT
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