Install
$ agentstack add mcp-sagargupta16-selfhub ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
SelfHub MCP Server
[](https://github.com/Sagargupta16/SelfHub/actions/workflows/ci.yml) [](LICENSE)
Your Personal AI Memory Hub - Store and retrieve your personal data from any MCP-enabled AI assistant.
🎯 What is SelfHub?
SelfHub is a Model Context Protocol (MCP) server that acts as your personal digital memory. Store notes, preferences, code snippets, tasks, and any information you want - then access them seamlessly from any AI assistant that supports MCP (Claude Desktop, VS Code Copilot, etc.).
Think of it as your personal knowledge base that travels with you across all AI conversations.
🚀 Setup with Claude Desktop
Step 1: Install and Build
git clone https://github.com/Sagargupta16/SelfHub.git
cd SelfHub
pnpm install
cp .env.example .env # set MONGODB_URI to your MongoDB connection string
pnpm build
# Optional: load sample data
pnpm seed
Step 2: Configure Claude Desktop
Open the Claude Desktop configuration file:
- Windows:
%APPDATA%\Claude\claude_desktop_config.json - macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json
Add this configuration (replace with your actual path):
{
"mcpServers": {
"selfhub": {
"command": "node",
"args": ["C:\\absolute\\path\\to\\SelfHub\\build\\index.js"]
}
}
}
Important for Windows: Use double backslashes (\\) in the path!
Step 3: Restart Claude Desktop
Completely quit and restart Claude Desktop.
Step 4: Test It!
In Claude, try:
- "List all my memories"
- "Search my memories for typescript"
- "Store that I prefer dark mode in all applications"
💻 Setup with VS Code
Step 1: Build the Server
pnpm build
Step 2: Configure VS Code
Create .vscode/mcp.json in your workspace (replace with your actual path):
{
"servers": {
"selfhub": {
"type": "stdio",
"command": "node",
"args": ["C:\\absolute\\path\\to\\SelfHub\\build\\index.js"]
}
}
}
Then reload VS Code: Press Ctrl+Shift+P (or Cmd+Shift+P on Mac) → Type "Reload Window" → Press Enter
Step 3: Test in Copilot Chat
Open GitHub Copilot Chat (Ctrl+Alt+I) and try:
@workspace list my memories
@workspace search my memories for "typescript"
@workspace store in my memory: I love using pnpm for package management
Note: You need GitHub Copilot extension installed and enabled.
🛠️ Available Tools
Memory Management (5 tools)
1. store_memory
Store new information in your memory hub.
Example:
Store that I prefer TypeScript over JavaScript for all new projects
Parameters:
content(required) - The information to storetype- Memory type:short-term,long-term,contextualcategory- Category:personal,professional,learning,projects,code,tasks, etc.title- Optional titletags- Array of tagsimportance- 1-5 importance level
2. retrieve_memory
Get a specific memory by its ID.
Example:
Retrieve memory mem_001
3. list_memories
List memories with optional filters.
Example:
List all my professional memories
Show me memories tagged with 'typescript'
List my personal memories
Parameters:
type- Filter by typecategory- Filter by categorytags- Filter by tagscontextId- Filter by contextlimit- Max results (default: 50)offset- Pagination offset
4. search_memories
Search through your memories using text queries.
Example:
Search my memories for "typescript"
Find memories about "API design"
Parameters:
query(required) - Search querycategory- Filter by categorytype- Filter by typetags- Filter by tagslimit- Max results (default: 10)
5. delete_memory
Delete a memory by ID.
Example:
Delete memory mem_005
Context Management (3 tools)
6. create_context
Create a new organizational context.
Example:
Create a new context called "Machine Learning Project" for project type
Parameters:
name(required) - Context nametype(required) -conversation,project,topic,temporaldescription- Optional descriptiontags- Array of tagsmemoryIds- Initial memory IDs to include
7. activate_context
Activate a context and load its memories.
Example:
Activate the "SelfHub Development" context
8. list_contexts
List all contexts with optional filters.
Example:
List all my project contexts
Show active contexts
Analytics (1 tool)
9. get_stats
Get usage statistics and insights.
Example:
Show me my memory statistics
Returns:
- Total memories count
- Memories by type breakdown
- Memories by category breakdown
- Total contexts
- Most used tags
📚 Example Usage Scenarios
Personal Knowledge Management
Store that I prefer dark mode in all applications
Store my favorite TypeScript coding conventions
Remember that I use pnpm for package management
Search my memories for "preferences"
Project Development
Create a new context called "SelfHub Development" for project type
Store in SelfHub context: Database schema uses Drizzle ORM
Activate the SelfHub Development context
List all memories in the SelfHub context
Learning & Notes
Store as learning: Vector embeddings represent text as numerical arrays
Tag with "machine-learning" and "embeddings"
Search my learning memories for "embeddings"
List all my learning-related memories
Code Snippets
Store this code snippet: const sum = (a, b) => a + b
Category: code, Tags: javascript, utility
Search my code for "utility functions"
🗂️ Sample Data
Run pnpm seed to load 6 sample memories into your database:
- memsample001 - Dark mode UI preference (personal)
- memsample002 - TypeScript best practice (professional)
- memsample003 - MongoDB basics (learning)
- memsample004 - Documentation update task (tasks)
- memsample005 - NPM commands quick reference (code)
- memsample006 - SelfHub project overview (projects)
And 2 sample contexts:
- ctxsample001 - SelfHub Development (project)
- ctxsample002 - Personal Preferences (topic)
🏗️ Project Structure
SelfHub/
├── src/
│ ├── index.ts # Main MCP server
│ ├── seed.ts # Sample data seeder
│ ├── db/ # Database layer
│ │ ├── connection.ts
│ │ └── schemas.ts
│ ├── models/ # TypeScript type definitions
│ │ ├── memory.model.ts
│ │ ├── context.model.ts
│ │ └── index.ts
│ ├── services/ # Business logic layer
│ │ ├── memory.service.ts
│ │ └── context.service.ts
│ └── storage/ # Storage implementation
│ └── mongodb-storage.ts # MongoDB persistent storage
├── build/ # Compiled JavaScript output
├── .env.example # Environment variable template
├── package.json
├── tsconfig.json
└── README.md
🔧 Development
Available Scripts
# Development mode (auto-reload with tsx)
pnpm dev
# Type checking
pnpm typecheck
# Build for production
pnpm build
# Clean build directory
rm -rf build
How It Works
- MCP Server (
src/index.ts) - Implements the MCP protocol, defines 9 tools - Services Layer - Business logic for memory and context operations
- Storage Layer - MongoDB persistent storage via Mongoose (set
MONGODB_URIin.env) - Models - TypeScript interfaces for type safety
Testing Locally
# Start the server
pnpm dev
# You should see:
# 🚀 SelfHub MCP Server running with MongoDB!
# 💾 Database: Connected and ready
# 🛠️ Available tools: 9 (store, retrieve, search, list, delete, contexts, stats)
The server runs on stdio (standard input/output) and waits for MCP protocol messages. You cannot interact with it directly - it needs an MCP client like Claude Desktop or VS Code.
🐛 Troubleshooting
Server Not Showing in Claude Desktop
- Check the config path:
- Make sure you're editing the correct config file
- Use absolute path, not relative
- Verify build exists:
``bash ls build/index.js ``
- Check for typos:
- Windows paths need double backslashes:
C:\\path\\to\\ - JSON syntax must be valid
- Restart Claude completely:
- Quit from system tray
- Wait a few seconds
- Start again
- Check Claude logs:
- Windows:
%APPDATA%\Claude\logs - macOS:
~/Library/Logs/Claude
VS Code Not Showing Tools
- Make sure GitHub Copilot is installed:
- Press
Ctrl+Shift+X - Search "GitHub Copilot"
- Install both "GitHub Copilot" and "GitHub Copilot Chat"
- Reload VS Code window:
Ctrl+Shift+P→ "Reload Window"
- Check the build:
``bash pnpm build ``
Build Errors
# Clean and rebuild
rm -rf build node_modules
pnpm install
pnpm build
Data Not Persisting
SelfHub uses MongoDB persistent storage - your data survives server restarts. If data isn't persisting:
- Check your
.envfile:
- Make sure
MONGODB_URIpoints to your MongoDB instance - Copy from the template if missing:
cp .env.example .env
- Verify the connection:
- The server logs
✅ Connected to MongoDBon startup - Without
MONGODB_URI, it falls back tomongodb://localhost:27017/selfhub
🔄 Dependency Updates
This project uses Renovate for automated dependency updates - see renovate.json.
📖 Documentation
- Model Context Protocol - Learn about MCP
- Claude Desktop - Download Claude Desktop
- GitHub Copilot - Learn about Copilot
🗺️ Roadmap
Current Version (v0.2.0)
- ✅ MongoDB persistent storage
- ✅ 9 MCP tools
- ✅ Memory categorization and tagging
- ✅ Context management
- ✅ Text-based search
- ✅ Sample data seeder
Future Enhancements
- [ ] Vector embeddings for semantic search
- [ ] File import/export (JSON, Markdown, CSV)
- [ ] Data encryption for sensitive information
- [ ] Web UI for management
- [ ] Multi-user support
- [ ] Cloud sync
🤝 Contributing
Contributions are welcome! Please read [CONTRIBUTING.md](CONTRIBUTING.md) and feel free to submit a Pull Request.
📄 License
MIT License - see [LICENSE](LICENSE) file for details.
💬 Support
If you have questions or run into issues:
- Check the [Troubleshooting](#-troubleshooting) section
- Review the documentation above
- Open an issue on GitHub
🌟 Acknowledgments
Built with:
- Model Context Protocol SDK - MCP implementation
- TypeScript - Type safety
- pnpm - Fast package manager
Made with ❤️ by Sagargupta16
Your personal AI memory hub - remember everything, access anywhere!
Source & license
This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Sagargupta16
- Source: Sagargupta16/SelfHub
- License: MIT
- Homepage: https://github.com/Sagargupta16/SelfHub#readme
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.