MCP Document Server
A secure Model Context Protocol server that enables Claude AI to list, search, and read local documents in formats such as PDF, DOCX, and XLSX. It features read-only access with path traversal protection and supports deployment via Docker with SSE or STDIO transport options.
README
MCP Document Server
A secure Model Context Protocol (MCP) server that provides Claude AI with access to your local documents. Built for Aaron's work document integration needs.
Features
- š Secure: Read-only access with path traversal protection
- š File Support: PDF, DOCX, XLSX, PPTX, TXT, MD, JSON, YAML, CSV, LOG
- š Search: Full-text search across documents
- š³ Docker: Easy deployment with Docker Compose
- š Network: Works over HTTP (SSE) or local STDIO
- š Tailscale Ready: Integrate with your existing Tailscale network
Quick Start
Option 1: Docker Compose (Recommended)
-
Clone and setup:
cd mcp-document-server cp .env.example .env # Edit .env if needed -
Create documents directory:
mkdir -p documents # Add your work documents here -
Start the server:
docker-compose up -d -
Test it:
curl http://localhost:8000/health
Option 2: Python Virtual Environment
-
Setup:
python3 -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate pip install -r requirements.txt -
Configure:
cp .env.example .env export $(cat .env | xargs) -
Run:
python server.py
Configuration
Environment Variables
| Variable | Default | Description |
|---|---|---|
MCP_TRANSPORT |
sse |
Transport type: sse (HTTP) or stdio |
MCP_HOST |
0.0.0.0 |
Server host (SSE only) |
MCP_PORT |
8000 |
Server port (SSE only) |
DOCUMENTS_PATH |
/documents |
Path to documents directory |
MAX_FILE_SIZE_MB |
10 |
Maximum file size in MB |
ALLOWED_EXTENSIONS |
.txt,.md,... |
Comma-separated allowed extensions |
Docker Compose Volumes
Edit docker-compose.yml to mount your work documents:
volumes:
# Option 1: Local directory
- ./documents:/documents:ro
# Option 2: Specific path
- /path/to/work/documents:/documents:ro
Integration with Claude
Via Claude Desktop (Local)
- Edit Claude Desktop config (
~/.config/claude/mcp_servers.jsonon Linux):
{
"document-server": {
"command": "docker",
"args": ["exec", "-i", "mcp-document-server", "python", "server.py"],
"env": {
"MCP_TRANSPORT": "stdio"
}
}
}
Via HTTP (Tailscale/Network)
If running on your home server and accessing via Tailscale:
- Start server with SSE transport (default)
- Note your Tailscale IP (e.g.,
100.x.x.x) - Access at
http://100.x.x.x:8000
Configure Claude to use this URL in your MCP client settings.
Available Tools
1. list_documents
List all documents in a directory.
Parameters:
subdirectory(optional): Subdirectory to listrecursive(optional): List recursively
Example:
{
"subdirectory": "projects/2024",
"recursive": true
}
2. read_document
Read the contents of a specific document.
Parameters:
file_path: Relative path to documentmax_chars(optional): Maximum characters to return (default: 50000)
Example:
{
"file_path": "projects/2024/Q4-report.pdf",
"max_chars": 50000
}
3. search_documents
Search for documents containing specific text.
Parameters:
query: Search queryfile_extension(optional): Filter by extensioncase_sensitive(optional): Case-sensitive search
Example:
{
"query": "quarterly review",
"file_extension": ".docx",
"case_sensitive": false
}
Security Considerations
Path Traversal Protection
- All file access is restricted to
DOCUMENTS_PATH - Symbolic links are resolved and validated
- Path traversal attempts (../) are blocked
Read-Only Access
- Server only reads files, never writes
- Docker container runs with read-only volume mount
- No file modification capabilities exposed
File Type Restrictions
- Only allowed extensions can be accessed
- Binary files require appropriate parsers
- Unknown types are rejected
Network Security
- Use Tailscale for encrypted access
- Consider adding authentication token
- Bind to localhost if only local access needed
Tailscale Integration
Setup
-
On your home server, ensure Tailscale is running:
sudo tailscale status -
Start MCP server:
docker-compose up -d -
Get Tailscale IP:
tailscale ip -4 -
Access from anywhere:
http://<your-tailscale-ip>:8000
Firewall Rules
If using OPNsense with Tailscale:
- Allow port 8000 on Tailscale interface
- Add rule:
pass in on tailscale0 proto tcp from any to any port 8000
Advanced Configuration
Custom Document Parsers
To add support for additional file types, modify server.py:
elif full_path.suffix == '.custom':
# Your custom parser here
content = parse_custom_file(full_path)
Authentication
Add basic token authentication:
- Set
MCP_AUTH_TOKENin.env - Modify server to check token in requests
- Pass token in Claude MCP client config
Multiple Document Directories
Run multiple instances with different compose files:
# Work documents
docker-compose -f docker-compose.work.yml up -d
# Personal documents
docker-compose -f docker-compose.personal.yml up -d
Troubleshooting
Server won't start
# Check logs
docker-compose logs -f
# Verify documents directory exists
ls -la ./documents
# Check permissions
chmod 755 ./documents
Cannot read files
# Verify file extensions are allowed
docker-compose exec mcp-document-server python -c \
"import os; print(os.getenv('ALLOWED_EXTENSIONS'))"
# Check file permissions
ls -la ./documents/
Claude can't connect
# Test server is running
curl http://localhost:8000/health
# Check Tailscale connectivity
ping <tailscale-ip>
# Verify firewall rules
# On OPNsense, check Firewall > Rules > Tailscale
Development
Running Tests
# Install dev dependencies
pip install pytest pytest-asyncio
# Run tests
pytest tests/
Debug Mode
# Enable debug logging
export LOG_LEVEL=DEBUG
python server.py
Hot Reload
For development with auto-reload:
uvicorn server:mcp.app --reload --host 0.0.0.0 --port 8000
Architecture
āāāāāāāāāāāāāāā
ā Claude ā
ā (claude.ai)ā
āāāāāāāā¬āāāāāāā
ā MCP Protocol
ā (SSE/HTTP)
ā
āāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāā
ā MCP Document āāāāāāāā Documents ā
ā Server ā ā Directory ā
ā (Docker) ā ā (Read-Only) ā
āāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāā
ā
ā Tailscale Network
ā
āāāāāāāāāāāāāāāāāāā
ā Home Server ā
ā (OPNsense) ā
āāāāāāāāāāāāāāāāāāā
Contributing
This is a custom implementation for Aaron's needs, but feel free to adapt it for your own use.
License
MIT License - See LICENSE file for details
Support
For issues or questions:
- Check troubleshooting section
- Review Docker logs:
docker-compose logs -f - Verify network connectivity with Tailscale
Built for: Aaron Watson
Integration: Claude AI + Local Documents
Stack: Python, MCP SDK, Docker, FastAPI
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.