Knowledge Base MCP Server

A Model Context Protocol (MCP) server for managing a personal markdown-based knowledge base. Enable AI assistants like Claude to read, search, and update your notes naturally.

Overview

This MCP server provides AI-native access to a personal knowledge base stored as markdown files with YAML frontmatter. It allows you to:

Create and organize notes across multiple categories
Search through your knowledge base using natural language
Update and maintain notes with AI assistance
Keep all data in human-readable, portable markdown format
Access your notes from Claude Desktop, Claude Code, or any MCP-compatible client
NEW: Browse and edit notes via the included web UI

Features

Core Capabilities

7 MCP Tools for complete knowledge base management
- add_note - Create new notes
- search_notes - Search by content, tags, or category
- get_note - Retrieve full note content
- update_note - Modify existing notes (replace or append)
- list_notes - List notes with optional filters
- delete_note - Remove notes (with backup)
- list_categories - View all categories and counts
Smart Search with relevance scoring
- Search across titles, content, tags, and metadata
- Case-insensitive matching
- Filter by category or tags
- Ranked results by relevance
Flexible Organization
- Default categories: people, recipes, meetings, procedures, tasks
- Configurable category system
- Tag-based organization
- Rich metadata support
Data Safety
- Automatic backups before updates
- Atomic file writes
- Human-readable markdown format
- No vendor lock-in
Web UI (Phase 2)
- Clean, dark-themed interface
- Category navigation and search
- Note creation and editing
- Authentication with JWT tokens
- Works on desktop and mobile browsers

Installation

Prerequisites

Python 3.11 or higher
uv package manager (recommended) or pip

Install with uv (Recommended)

# Clone the repository
git clone <repository-url>
cd knowledge-base-mcp

# Install dependencies
uv sync

# The server is now ready to use

Install with pip

# Clone the repository
git clone <repository-url>
cd knowledge-base-mcp

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install in development mode
pip install -e .

Running the Server

This project provides two ways to run the knowledge base:

Option 1: MCP Server (for Claude Desktop/Code)

The MCP server runs via stdio and is designed to be used with Claude Desktop or Claude Code.

Start the MCP server:

# Using uv
uv run knowledge-base-server

# Using pip/venv
knowledge-base-server

The MCP server will:

Listen on stdin/stdout for MCP protocol messages
Wait for commands from an MCP client (like Claude Desktop)
Not show a web interface or HTTP endpoint

Note: The MCP server is typically not run standalone. Instead, configure it in Claude Desktop (see Configuration section below) and let Claude Desktop manage the server lifecycle.

Option 2: HTTP API Server (for Web/API Access)

The HTTP API server provides a web interface and REST API.

Quick Start (No Authentication):

By default, authentication is disabled for easy local development. Just run:

# Using uv
uv run knowledge-base-api

# Using pip/venv
knowledge-base-api

# Or run directly with uvicorn
uvicorn api.main:app --host 0.0.0.0 --port 8000 --reload

The API server will start on http://localhost:8000 with:

Web UI: http://localhost:8000 (if web files exist)
API Docs: http://localhost:8000/docs (Swagger UI)
Alternative Docs: http://localhost:8000/redoc (ReDoc)
Health Check: http://localhost:8000/health

Using the API (No Auth):

# Create a note
curl -X POST http://localhost:8000/notes \
  -H "Content-Type: application/json" \
  -d '{"title": "My Note", "content": "Hello World", "category": "people", "tags": ["test"]}'

# List all notes
curl http://localhost:8000/notes

# Search notes
curl "http://localhost:8000/search?q=hello"

Optional: Enable Authentication

To enable authentication (recommended for production), create a .env.local file:

# Enable authentication
REQUIRE_AUTH=true

# Required when auth is enabled
JWT_SECRET_KEY=your-secret-key-here-change-this-in-production

# Optional - AI features
ANTHROPIC_API_KEY=sk-ant-xxxxx

# Optional - custom paths
KNOWLEDGE_BASE_PATH=~/knowledge-base
CATEGORIES=people,recipes,meetings,procedures,tasks

# Optional - server settings
API_HOST=0.0.0.0
API_PORT=8000
DEBUG=false

Generate a secure JWT secret:

# On Linux/macOS
openssl rand -hex 32

# Or use Python
python -c "import secrets; print(secrets.token_hex(32))"

Using the API with Authentication:

When REQUIRE_AUTH=true, you need to authenticate:

Create an account:

curl -X POST http://localhost:8000/auth/signup \
  -H "Content-Type: application/json" \
  -d '{"email": "user@example.com", "password": "your-password", "full_name": "Your Name"}'

curl -X POST http://localhost:8000/auth/login \
  -H "Content-Type: application/json" \
  -d '{"email": "user@example.com", "password": "your-password"}'

Use the token for authenticated requests:

curl http://localhost:8000/notes \
  -H "Authorization: Bearer YOUR_TOKEN_HERE"

Configuration

Environment Variables

Create a .env file in the project root (optional):

# Knowledge base location (default: ~/knowledge-base)
KNOWLEDGE_BASE_PATH=~/knowledge-base

# Categories (comma-separated)
CATEGORIES=people,recipes,meetings,procedures,tasks

# Server settings
SERVER_NAME=Knowledge Base
LOG_LEVEL=INFO

Claude Desktop Setup

Add the server to your Claude Desktop configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "knowledge-base": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/knowledge-base-mcp",
        "run",
        "knowledge-base-server"
      ]
    }
  }
}

Alternative (using pip/venv):

{
  "mcpServers": {
    "knowledge-base": {
      "command": "/absolute/path/to/venv/bin/python",
      "args": [
        "-m",
        "knowledge_base_mcp.server"
      ],
      "env": {
        "KNOWLEDGE_BASE_PATH": "/path/to/your/knowledge-base"
      }
    }
  }
}

After configuration, restart Claude Desktop.

Web UI Access

The knowledge base includes a web interface for browsing and editing notes from any browser.

Starting the Web Server

# Make sure you're in the project directory
cd knowledge-base-mcp

# Start the FastAPI server (default port 8000)
uvicorn api.main:app --host 0.0.0.0 --port 8000

# Or use the configuration from .env
python -m api.main

First Time Setup

Open your browser to http://localhost:8000
Click "Create Account" to sign up
Enter your email and password (minimum 8 characters)
Login with your credentials
Start creating and organizing notes!

Features

Category Navigation: Browse notes by category with note counts
Full-Text Search: Search across all notes and tags in real-time
Note Editor: Clean markdown editor with auto-save warnings
Create/Edit/Delete: Full CRUD operations on notes
Tag Management: Organize notes with comma-separated tags
Responsive Design: Works on desktop and mobile browsers

Mobile Access

To access from your phone on the same network:

# Start server listening on all interfaces
uvicorn api.main:app --host 0.0.0.0 --port 8000

# Then access from phone using your computer's IP
# Example: http://192.168.1.100:8000

For remote access, consider using Tailscale or deploying to a cloud service.

Usage

MCP Tool Usage

Example Interactions

Adding Notes

You: "I just met Sarah Chen at a conference. She works at Tesla on battery
     tech and is interested in our AI product. Tag this as important."

Claude: [Calls add_note tool]
✓ Note 'Sarah Chen' created in people/
  File: sarah-chen.md
  Tags: conference, tesla, important

Searching

You: "Who did I meet that works on batteries?"

Claude: [Calls search_notes with query="batteries"]
Found 1 result(s):

[people] Sarah Chen [conference, tesla, batteries, important]
   Battery engineer at Tesla. Met at tech conference. Interested in AI...

Retrieving Notes

You: "Show me my note about Sarah Chen"

Claude: [Calls get_note tool]
# Sarah Chen

**Category:** people
**Tags:** conference, tesla, batteries, important
**Date:** 2025-10-21

---

Battery engineer at Tesla...

Updating Notes

You: "Add to Sarah Chen's note that we scheduled a call for next Tuesday"

Claude: [Calls update_note with append=True]
✓ Note 'Sarah Chen' updated successfully
  Category: people
  Last updated: 2025-10-22

Quick Reference

You: "How long do I cook brussels sprouts in the air fryer?"

Claude: [Calls search_notes with query="brussels sprouts"]
Found 1 result(s):

[recipes] Brussels Sprouts [quick, vegetables, air-fryer]
   Cook at 400°F for 15-18 minutes, shake halfway through...

Knowledge Base Structure

Your knowledge base is stored as markdown files in a simple folder structure:

~/knowledge-base/
├── people/
│   ├── sarah-chen.md
│   ├── john-doe.md
│   └── ...
├── recipes/
│   ├── brussels-sprouts.md
│   ├── chocolate-cake.md
│   └── ...
├── meetings/
│   └── q4-planning.md
├── procedures/
│   └── onboarding-checklist.md
└── tasks/
    └── launch-preparation.md

Markdown Format

Each note is a markdown file with YAML frontmatter:

---
tags: [conference, tesla, batteries, important]
date: 2025-10-21
category: people
company: Tesla
role: Battery Engineer
email: sarah.chen@tesla.com
---

# Sarah Chen

**Met:** Tech Conference 2025, Silicon Valley
**Contact:** sarah.chen@tesla.com

## Notes

Interested in our AI product for battery optimization.
Has budget approval for Q1 2026.

## Follow-up

- [ ] Send demo link by end of week
- [ ] Schedule call for next Tuesday

Metadata Fields

Required:

tags: List of tags for categorization
date: Creation date (YYYY-MM-DD)
category: Category folder name

Optional (category-specific):

People: company, role, email, phone
Recipes: prep_time, cook_time, servings
Meetings: attendees, meeting_date, location
Tasks: priority, due_date, status

You can add any custom metadata fields as needed.

Development

Running Tests

# With uv
uv run pytest

# With pip
pytest

# Run specific test file
pytest tests/test_storage.py

# Run with coverage
pytest --cov=knowledge_base_mcp tests/

Project Structure

knowledge-base-mcp/
├── src/
│   └── knowledge_base_mcp/
│       ├── __init__.py
│       ├── server.py       # MCP server and tools
│       ├── storage.py      # File operations
│       ├── search.py       # Search functionality
│       └── models.py       # Data models
├── tests/
│   ├── test_server.py      # Integration tests
│   ├── test_storage.py     # Storage layer tests
│   └── test_search.py      # Search tests
├── examples/
│   └── sample-notes/       # Example notes
├── pyproject.toml          # Project configuration
└── README.md

Adding Custom Categories

Edit your .env file or environment configuration:

CATEGORIES=people,recipes,meetings,procedures,tasks,books,articles,ideas

The server will automatically create folders for new categories.

Troubleshooting

Common Issues

Server not appearing in Claude Desktop:

Verify the path in claude_desktop_config.json is absolute
Check that the command path is correct (uv or python path)
Restart Claude Desktop completely
Check Claude Desktop logs for errors

Notes not being created:

Verify KNOWLEDGE_BASE_PATH exists and is writable
Check file permissions
Ensure category is valid (use list_categories tool)

Search not finding notes:

Verify notes have proper YAML frontmatter
Check that tags are formatted as lists
Try searching with simpler queries
Use list_notes to see what notes exist

Permission errors:

Ensure the knowledge base directory has write permissions
On macOS, you may need to grant Claude Desktop disk access in System Preferences

Viewing Logs

Claude Desktop logs can help diagnose issues:

macOS: ~/Library/Logs/Claude/
Windows: %APPDATA%\Claude\logs\
Linux: ~/.config/Claude/logs/

Use Cases

Conference CRM

Track people you meet at conferences with contact info, notes, and follow-up tasks.

Recipe Collection

Store recipes with tags, cook times, and personal notes about modifications.

Meeting Notes

Keep meeting agendas, discussion points, and action items organized by topic.

Procedure Documentation

Maintain step-by-step procedures and checklists for recurring tasks.

Task Management

Track projects, deadlines, and task lists with priorities and status.

Integration with Other Tools

Obsidian

The markdown format is fully compatible with Obsidian. You can:

Open the knowledge base in Obsidian
Edit notes in either Obsidian or via Claude
Use Obsidian mobile for on-the-go access
Sync via Obsidian Sync or iCloud

Git Version Control

Consider adding git version control to your knowledge base:

cd ~/knowledge-base
git init
git add .
git commit -m "Initial knowledge base"

This provides:

Version history of all changes
Ability to revert changes
Backup to remote repository
Collaboration capabilities

File Sync

Use any file sync service:

iCloud Drive
Dropbox
Google Drive
Syncthing

Roadmap

Phase 2 Features (Planned)

HTTP API for web and mobile access
Web UI for browsing and editing
AI pendant integration via webhooks
Automatic summarization and insights
Calendar integration
Email integration

Future Considerations

Multi-user support
Real-time collaboration
Advanced search with embeddings
Automatic tagging suggestions
Template system for note types

Contributing

Contributions are welcome! Please:

Fork the repository
Create a feature branch
Add tests for new functionality
Ensure all tests pass
Submit a pull request

License

MIT License - see LICENSE file for details

Support

Report issues: [GitHub Issues]
Documentation: MCP Documentation
Community: [MCP Discord]

Acknowledgments

Built with:

Made with Claude Code

Knowledge Base MCP Server

A Model Context Protocol (MCP) server for managing a personal markdown-based knowledge base. Enable AI assistants like Claude to read, search, and update your notes naturally.

Overview

This MCP server provides AI-native access to a personal knowledge base stored as markdown files with YAML frontmatter. It allows you to:

Create and organize notes across multiple categories
Search through your knowledge base using natural language
Update and maintain notes with AI assistance
Keep all data in human-readable, portable markdown format
Access your notes from Claude Desktop, Claude Code, or any MCP-compatible client
NEW: Browse and edit notes via the included web UI

Features

Core Capabilities

7 MCP Tools for complete knowledge base management
- add_note - Create new notes
- search_notes - Search by content, tags, or category
- get_note - Retrieve full note content
- update_note - Modify existing notes (replace or append)
- list_notes - List notes with optional filters
- delete_note - Remove notes (with backup)
- list_categories - View all categories and counts
Smart Search with relevance scoring
- Search across titles, content, tags, and metadata
- Case-insensitive matching
- Filter by category or tags
- Ranked results by relevance
Flexible Organization
- Default categories: people, recipes, meetings, procedures, tasks
- Configurable category system
- Tag-based organization
- Rich metadata support
Data Safety
- Automatic backups before updates
- Atomic file writes
- Human-readable markdown format
- No vendor lock-in
Web UI (Phase 2)
- Clean, dark-themed interface
- Category navigation and search
- Note creation and editing
- Authentication with JWT tokens
- Works on desktop and mobile browsers

Installation

Prerequisites

Python 3.11 or higher
uv package manager (recommended) or pip

Install with uv (Recommended)

# Clone the repository
git clone <repository-url>
cd knowledge-base-mcp

# Install dependencies
uv sync

# The server is now ready to use

Install with pip

# Clone the repository
git clone <repository-url>
cd knowledge-base-mcp

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install in development mode
pip install -e .

Running the Server

This project provides two ways to run the knowledge base:

Option 1: MCP Server (for Claude Desktop/Code)

The MCP server runs via stdio and is designed to be used with Claude Desktop or Claude Code.

Start the MCP server:

# Using uv
uv run knowledge-base-server

# Using pip/venv
knowledge-base-server

The MCP server will:

Listen on stdin/stdout for MCP protocol messages
Wait for commands from an MCP client (like Claude Desktop)
Not show a web interface or HTTP endpoint

Note: The MCP server is typically not run standalone. Instead, configure it in Claude Desktop (see Configuration section below) and let Claude Desktop manage the server lifecycle.

Option 2: HTTP API Server (for Web/API Access)

The HTTP API server provides a web interface and REST API.

Quick Start (No Authentication):

By default, authentication is disabled for easy local development. Just run:

# Using uv
uv run knowledge-base-api

# Using pip/venv
knowledge-base-api

# Or run directly with uvicorn
uvicorn api.main:app --host 0.0.0.0 --port 8000 --reload

The API server will start on http://localhost:8000 with:

Web UI: http://localhost:8000 (if web files exist)
API Docs: http://localhost:8000/docs (Swagger UI)
Alternative Docs: http://localhost:8000/redoc (ReDoc)
Health Check: http://localhost:8000/health

Using the API (No Auth):

# Create a note
curl -X POST http://localhost:8000/notes \
  -H "Content-Type: application/json" \
  -d '{"title": "My Note", "content": "Hello World", "category": "people", "tags": ["test"]}'

# List all notes
curl http://localhost:8000/notes

# Search notes
curl "http://localhost:8000/search?q=hello"

Optional: Enable Authentication

To enable authentication (recommended for production), create a .env.local file:

# Enable authentication
REQUIRE_AUTH=true

# Required when auth is enabled
JWT_SECRET_KEY=your-secret-key-here-change-this-in-production

# Optional - AI features
ANTHROPIC_API_KEY=sk-ant-xxxxx

# Optional - custom paths
KNOWLEDGE_BASE_PATH=~/knowledge-base
CATEGORIES=people,recipes,meetings,procedures,tasks

# Optional - server settings
API_HOST=0.0.0.0
API_PORT=8000
DEBUG=false

Generate a secure JWT secret:

# On Linux/macOS
openssl rand -hex 32

# Or use Python
python -c "import secrets; print(secrets.token_hex(32))"

Using the API with Authentication:

When REQUIRE_AUTH=true, you need to authenticate:

Create an account:

curl -X POST http://localhost:8000/auth/signup \
  -H "Content-Type: application/json" \
  -d '{"email": "user@example.com", "password": "your-password", "full_name": "Your Name"}'

curl -X POST http://localhost:8000/auth/login \
  -H "Content-Type: application/json" \
  -d '{"email": "user@example.com", "password": "your-password"}'

Use the token for authenticated requests:

curl http://localhost:8000/notes \
  -H "Authorization: Bearer YOUR_TOKEN_HERE"

Configuration

Environment Variables

Create a .env file in the project root (optional):

# Knowledge base location (default: ~/knowledge-base)
KNOWLEDGE_BASE_PATH=~/knowledge-base

# Categories (comma-separated)
CATEGORIES=people,recipes,meetings,procedures,tasks

# Server settings
SERVER_NAME=Knowledge Base
LOG_LEVEL=INFO

Claude Desktop Setup

Add the server to your Claude Desktop configuration:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Windows: %APPDATA%\Claude\claude_desktop_config.json

Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "knowledge-base": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/knowledge-base-mcp",
        "run",
        "knowledge-base-server"
      ]
    }
  }
}

Alternative (using pip/venv):

{
  "mcpServers": {
    "knowledge-base": {
      "command": "/absolute/path/to/venv/bin/python",
      "args": [
        "-m",
        "knowledge_base_mcp.server"
      ],
      "env": {
        "KNOWLEDGE_BASE_PATH": "/path/to/your/knowledge-base"
      }
    }
  }
}

After configuration, restart Claude Desktop.

Web UI Access

The knowledge base includes a web interface for browsing and editing notes from any browser.

Starting the Web Server

# Make sure you're in the project directory
cd knowledge-base-mcp

# Start the FastAPI server (default port 8000)
uvicorn api.main:app --host 0.0.0.0 --port 8000

# Or use the configuration from .env
python -m api.main

First Time Setup

Open your browser to http://localhost:8000
Click "Create Account" to sign up
Enter your email and password (minimum 8 characters)
Login with your credentials
Start creating and organizing notes!

Features

Category Navigation: Browse notes by category with note counts
Full-Text Search: Search across all notes and tags in real-time
Note Editor: Clean markdown editor with auto-save warnings
Create/Edit/Delete: Full CRUD operations on notes
Tag Management: Organize notes with comma-separated tags
Responsive Design: Works on desktop and mobile browsers

Mobile Access

To access from your phone on the same network:

# Start server listening on all interfaces
uvicorn api.main:app --host 0.0.0.0 --port 8000

# Then access from phone using your computer's IP
# Example: http://192.168.1.100:8000

For remote access, consider using Tailscale or deploying to a cloud service.

Usage

MCP Tool Usage

Example Interactions

Adding Notes

You: "I just met Sarah Chen at a conference. She works at Tesla on battery
     tech and is interested in our AI product. Tag this as important."

Claude: [Calls add_note tool]
✓ Note 'Sarah Chen' created in people/
  File: sarah-chen.md
  Tags: conference, tesla, important

Searching

You: "Who did I meet that works on batteries?"

Claude: [Calls search_notes with query="batteries"]
Found 1 result(s):

[people] Sarah Chen [conference, tesla, batteries, important]
   Battery engineer at Tesla. Met at tech conference. Interested in AI...

Retrieving Notes

You: "Show me my note about Sarah Chen"

Claude: [Calls get_note tool]
# Sarah Chen

**Category:** people
**Tags:** conference, tesla, batteries, important
**Date:** 2025-10-21

---

Battery engineer at Tesla...

Updating Notes

You: "Add to Sarah Chen's note that we scheduled a call for next Tuesday"

Claude: [Calls update_note with append=True]
✓ Note 'Sarah Chen' updated successfully
  Category: people
  Last updated: 2025-10-22

Quick Reference

You: "How long do I cook brussels sprouts in the air fryer?"

Claude: [Calls search_notes with query="brussels sprouts"]
Found 1 result(s):

[recipes] Brussels Sprouts [quick, vegetables, air-fryer]
   Cook at 400°F for 15-18 minutes, shake halfway through...

Knowledge Base Structure

Your knowledge base is stored as markdown files in a simple folder structure:

~/knowledge-base/
├── people/
│   ├── sarah-chen.md
│   ├── john-doe.md
│   └── ...
├── recipes/
│   ├── brussels-sprouts.md
│   ├── chocolate-cake.md
│   └── ...
├── meetings/
│   └── q4-planning.md
├── procedures/
│   └── onboarding-checklist.md
└── tasks/
    └── launch-preparation.md

Markdown Format

Each note is a markdown file with YAML frontmatter:

---
tags: [conference, tesla, batteries, important]
date: 2025-10-21
category: people
company: Tesla
role: Battery Engineer
email: sarah.chen@tesla.com
---

# Sarah Chen

**Met:** Tech Conference 2025, Silicon Valley
**Contact:** sarah.chen@tesla.com

## Notes

Interested in our AI product for battery optimization.
Has budget approval for Q1 2026.

## Follow-up

- [ ] Send demo link by end of week
- [ ] Schedule call for next Tuesday

Metadata Fields

Required:

tags: List of tags for categorization
date: Creation date (YYYY-MM-DD)
category: Category folder name

Optional (category-specific):

People: company, role, email, phone
Recipes: prep_time, cook_time, servings
Meetings: attendees, meeting_date, location
Tasks: priority, due_date, status

You can add any custom metadata fields as needed.

Development

Running Tests

# With uv
uv run pytest

# With pip
pytest

# Run specific test file
pytest tests/test_storage.py

# Run with coverage
pytest --cov=knowledge_base_mcp tests/

Project Structure

knowledge-base-mcp/
├── src/
│   └── knowledge_base_mcp/
│       ├── __init__.py
│       ├── server.py       # MCP server and tools
│       ├── storage.py      # File operations
│       ├── search.py       # Search functionality
│       └── models.py       # Data models
├── tests/
│   ├── test_server.py      # Integration tests
│   ├── test_storage.py     # Storage layer tests
│   └── test_search.py      # Search tests
├── examples/
│   └── sample-notes/       # Example notes
├── pyproject.toml          # Project configuration
└── README.md

Adding Custom Categories

Edit your .env file or environment configuration:

CATEGORIES=people,recipes,meetings,procedures,tasks,books,articles,ideas

The server will automatically create folders for new categories.

Troubleshooting

Common Issues

Server not appearing in Claude Desktop:

Verify the path in claude_desktop_config.json is absolute
Check that the command path is correct (uv or python path)
Restart Claude Desktop completely
Check Claude Desktop logs for errors

Notes not being created:

Verify KNOWLEDGE_BASE_PATH exists and is writable
Check file permissions
Ensure category is valid (use list_categories tool)

Search not finding notes:

Verify notes have proper YAML frontmatter
Check that tags are formatted as lists
Try searching with simpler queries
Use list_notes to see what notes exist

Permission errors:

Ensure the knowledge base directory has write permissions
On macOS, you may need to grant Claude Desktop disk access in System Preferences

Viewing Logs

Claude Desktop logs can help diagnose issues:

macOS: ~/Library/Logs/Claude/
Windows: %APPDATA%\Claude\logs\
Linux: ~/.config/Claude/logs/

Use Cases

Conference CRM

Track people you meet at conferences with contact info, notes, and follow-up tasks.

Recipe Collection

Store recipes with tags, cook times, and personal notes about modifications.

Meeting Notes

Keep meeting agendas, discussion points, and action items organized by topic.

Procedure Documentation

Maintain step-by-step procedures and checklists for recurring tasks.

Task Management

Track projects, deadlines, and task lists with priorities and status.

Integration with Other Tools

Obsidian

The markdown format is fully compatible with Obsidian. You can:

Open the knowledge base in Obsidian
Edit notes in either Obsidian or via Claude
Use Obsidian mobile for on-the-go access
Sync via Obsidian Sync or iCloud

Git Version Control

Consider adding git version control to your knowledge base:

cd ~/knowledge-base
git init
git add .
git commit -m "Initial knowledge base"

This provides:

Version history of all changes
Ability to revert changes
Backup to remote repository
Collaboration capabilities

File Sync

Use any file sync service:

iCloud Drive
Dropbox
Google Drive
Syncthing

Roadmap

Phase 2 Features (Planned)

HTTP API for web and mobile access
Web UI for browsing and editing
AI pendant integration via webhooks
Automatic summarization and insights
Calendar integration
Email integration

Future Considerations

Multi-user support
Real-time collaboration
Advanced search with embeddings
Automatic tagging suggestions
Template system for note types

Contributing

Contributions are welcome! Please:

Fork the repository
Create a feature branch
Add tests for new functionality
Ensure all tests pass
Submit a pull request

License

MIT License - see LICENSE file for details

Support

Report issues: [GitHub Issues]
Documentation: MCP Documentation
Community: [MCP Discord]

Acknowledgments

Built with:

Made with Claude Code