Document Assistant MCP Server
Provides tools for indexing documents, creating notes, searching content, and extracting metadata to enable document processing and knowledge management.
README
Document Assistant MCP Server
A Model Context Protocol (MCP) server for document processing, note-taking, and knowledge management. This server provides tools for indexing documents, creating notes, searching content, and extracting metadata.
Features
- Document Indexing: Index documents for fast search and retrieval
- Note Taking: Create and organize markdown notes with tags
- Search: Search indexed documents by keywords and tags
- Metadata Extraction: Extract metadata from documents automatically
Installation
Prerequisites
- Python 3.10 or higher
- pip (Python package installer)
Setup
-
Clone or download this repository to your workspace
-
Activate your Python virtual environment:
source myvenv/bin/activate
- Install dependencies:
pip install -r requirements.txt
- Install the package in development mode:
pip install -e .
Project Structure
.
├── .clinerules/ # Cline rules for coding standards
│ ├── 01-coding.md # Core coding standards
│ ├── 02-documentation.md # Documentation requirements
│ └── current-sprint.md # Current sprint rules
├── memory-bank/ # Cline Memory Bank
│ ├── common-knowledge/ # Document format knowledge
│ ├── code-snippets/ # Reusable code patterns
│ └── configuration/ # Configuration settings
├── src/
│ └── document_assistant/ # Main package
│ ├── server.py # MCP server implementation
│ └── utils/ # Utility modules
│ ├── errors.py # Custom exceptions
│ └── document_processor.py # Document processing logic
├── requirements.txt # Python dependencies
├── setup.py # Package setup configuration
└── README.md # This file
Usage
Starting the Server
Run the MCP server using Python:
python -m document_assistant.server
Or use the installed console script:
document-assistant
Available Tools
1. index_document
Index a document for search and retrieval.
Parameters:
path(required): Path to the document to indextags(optional): Array of tags for categorization
Example:
{
"path": "/path/to/document.md",
"tags": ["work", "project"]
}
2. create_note
Create a new note in markdown format.
Parameters:
title(required): Title of the notecontent(required): Content of the note in markdowntags(optional): Array of tags for the note
Example:
{
"title": "Meeting Notes",
"content": "## Discussion Points\n\n- Item 1\n- Item 2",
"tags": ["meeting", "2024"]
}
3. search_documents
Search indexed documents by keywords or tags.
Parameters:
query(required): Search query stringtags(optional): Array of tags to filter resultslimit(optional): Maximum number of results (default: 10)
Example:
{
"query": "meeting",
"tags": ["work"],
"limit": 5
}
4. extract_metadata
Extract metadata from a document.
Parameters:
path(required): Path to the document
Example:
{
"path": "/path/to/document.md"
}
Configuration
Storage Locations
- Documents:
./documents(created automatically) - Index:
./index(created automatically) - Backups:
./backups(if enabled)
Supported File Formats
- Markdown (.md)
- Plain text (.txt)
- JSON (.json)
Development
Running Tests
pytest tests/
Code Style
This project follows PEP 8 coding standards. Use the following tools for code quality:
# Format code
black src/
# Check style
flake8 src/
# Type checking
mypy src/
MCP Configuration
To use this server with Cline or other MCP clients, add it to your MCP settings:
{
"mcpServers": {
"document-assistant": {
"command": "python",
"args": ["-m", "document_assistant.server"],
"cwd": "/home/wjmuse/workspace/mcp_daily_life"
}
}
}
Memory Bank
The memory-bank/ directory contains custom instructions for Cline:
- common-knowledge/: Document format knowledge and best practices
- code-snippets/: Reusable MCP patterns and code examples
- configuration/: Server settings and preferences
Contributing
- Follow the coding standards in
.clinerules/01-coding.md - Update documentation as per
.clinerules/02-documentation.md - Check current sprint rules in
.clinerules/current-sprint.md
License
MIT License
Troubleshooting
Import Errors
If you encounter import errors, ensure:
- Virtual environment is activated
- Dependencies are installed:
pip install -r requirements.txt - Package is installed in development mode:
pip install -e .
Path Issues
- Use absolute paths when possible
- Ensure document paths are accessible
- Check file permissions
Support
For issues and questions, please refer to:
.clinerules/directory for development guidelinesmemory-bank/directory for knowledge base- MCP documentation: https://docs.cline.bot/mcp
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