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Memphora

السجل الرسمي الذكاء الاصطناعي والوكلاء

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

الشيفرة المصدرية التوثيق

التثبيت

أضف هذا إلى إعدادات MCP في عميلك (Claude Desktop: claude_desktop_config.json، وCursor: ‏.cursor/mcp.json، ويستخدم VS Code وغيره الصيغة نفسها «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
إعداد JSON (Claude Desktop وCursor وVS 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>"
            }
        }
    }
}

متغيرات البيئة

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

التوثيق

مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.

المحتويات
  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.

الأسئلة الشائعة

ما هو Memphora؟

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

كيف أثبّت Memphora؟

يعمل على جهازك. في 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. وفي العملاء الآخرين، الصق إعداد JSON من هذه الصفحة في إعدادات MCP الخاصة بهم.

هل يحتاج Memphora إلى مفتاح API؟

نعم. يتطلب MEMPHORA_API_KEY، وتضبطها في إعداداته.

هل Memphora مفتوح المصدر؟

نعم. شيفرته متاحة على GitHub بترخيص MIT.

من يصون Memphora؟

ينشره Memphora. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.

من سجل MCP الرسمي. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.