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Memphora

Registre officiel IA et agents

Add persistent memory to AI assistants. Store and recall info across conversations.

Code source Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

PYPI package memphora-mcp
Claude Code 
claude mcp add memphora -e 'MEMPHORA_API_KEY=<your memphora_api_key>' -e 'MEMPHORA_USER_ID=<MEMPHORA_USER_ID>' -- uvx memphora-mcp==0.1.3
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "memphora": {
            "command": "uvx",
            "args": [
                "memphora-mcp==0.1.3"
            ],
            "env": {
                "MEMPHORA_API_KEY": "<your memphora_api_key>",
                "MEMPHORA_USER_ID": "<MEMPHORA_USER_ID>"
            }
        }
    }
}

Variables d'environnement

  • MEMPHORA_API_KEY obligatoire secret Your Memphora API key from memphora.ai/dashboard
  • MEMPHORA_USER_ID Unique identifier for your memories

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Memphora MCP Server
  2. What is this?
  3. Quick Start
  4. Usage Examples
  5. Available Tools
  6. Configuration Options
  7. Using with Other MCP Clients
  8. Development
  9. Privacy & Security
  10. Support
  11. License

Memphora MCP Server

Add persistent memory to Claude, Cursor, Windsurf, and other AI assistants using the Model Context Protocol (MCP).

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-mcp
2. Get Your API Key
  1. Go to memphora.ai/dashboard
  2. Create an account or sign in
  3. 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

ToolDescription
memphora_searchSearch memories for relevant information
memphora_storeStore new information for future recall
memphora_extract_conversationExtract memories from a conversation
memphora_list_memoriesList all stored memories
memphora_deleteDelete a specific memory

Configuration Options

Environment VariableDescriptionDefault
MEMPHORA_API_KEYYour Memphora API keyRequired
MEMPHORA_USER_IDUnique identifier for your memoriesmcp_default_user

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_mcp
Testing
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

License

MIT License - see LICENSE for details.

Questions fréquentes

Qu'est-ce que Memphora ?

Add persistent memory to AI assistants. Store and recall info across conversations.

Comment installer Memphora ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add memphora -e 'MEMPHORA_API_KEY=<your memphora_api_key>' -e 'MEMPHORA_USER_ID=<MEMPHORA_USER_ID>' -- uvx memphora-mcp==0.1.3. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Memphora ?

Oui. Il attend MEMPHORA_API_KEY, à renseigner dans sa configuration.

Memphora est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Memphora ?

Il est publié par Memphora. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.