Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Memphorasearch my memories for my current project's technical requirements"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
What is this?
This MCP server connects your AI assistant to Memphora, giving it the ability to:
Remember information across conversations
Search your personal knowledge base
Extract insights from conversations automatically
Recall your preferences, facts, and context
Quick Start
1. Install
# Using pip
pip install memphora-mcp
# Or using uvx (recommended for Claude Desktop)
uvx memphora-mcp2. Get Your API Key
Go to memphora.ai/dashboard
Create an account or sign in
Copy your API key from the dashboard
3. Configure Claude Desktop
Add to your Claude Desktop config file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"memphora": {
"command": "uvx",
"args": ["memphora-mcp"],
"env": {
"MEMPHORA_API_KEY": "your_api_key_here",
"MEMPHORA_USER_ID": "your_unique_user_id"
}
}
}
}4. Restart Claude Desktop
Close and reopen Claude Desktop. You should see the Memphora tools available!
Usage Examples
Storing Memories
Just tell Claude something about yourself:
You: "I work at Google as a software engineer"
Claude: [stores memory] "Got it! I'll remember that you work at Google as a software engineer."
You: "My favorite programming language is Python"
Claude: [stores memory] "Noted! I'll remember that Python is your favorite programming language."Recalling Memories
Ask Claude about things you've told it before:
You: "Where do I work?"
Claude: [searches memories] "You work at Google as a software engineer."
You: "What programming languages do I like?"
Claude: [searches memories] "Your favorite programming language is Python."Automatic Context
Claude will automatically search your memories when relevant:
You: "Can you help me with some code?"
Claude: [searches memories for context]
"Sure! Since you prefer Python and work at Google, I'll write this in Python
following Google's style guide..."Available Tools
Tool | Description |
| Search memories for relevant information |
| Store new information for future recall |
| Extract memories from a conversation |
| List all stored memories |
| Delete a specific memory |
Configuration Options
Environment Variable | Description | Default |
| Your Memphora API key | Required |
| Unique identifier for your memories |
|
Using with Other MCP Clients
Cursor
Add to your Cursor settings:
{
"mcp": {
"servers": {
"memphora": {
"command": "uvx",
"args": ["memphora-mcp"],
"env": {
"MEMPHORA_API_KEY": "your_api_key_here"
}
}
}
}
}Windsurf
Add to your Windsurf MCP configuration:
{
"mcpServers": {
"memphora": {
"command": "python",
"args": ["-m", "memphora_mcp"],
"env": {
"MEMPHORA_API_KEY": "your_api_key_here"
}
}
}
}Development
Running Locally
# Clone the repo
git clone https://github.com/Memphora/memphora-mcp.git
cd memphora-mcp
# Install dependencies
pip install -e ".[dev]"
# Set your API key
export MEMPHORA_API_KEY="your_key"
# Run the server
python -m memphora_mcpTesting
pytest tests/Privacy & Security
Your memories are stored securely in Memphora's cloud
Each user has isolated memory storage
API keys are stored locally on your machine
All communication is encrypted via HTTPS
Support
Documentation: memphora.ai/docs
Issues: GitHub Issues
Email: support@memphora.ai
License
MIT License - see LICENSE for details.
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.