Pensieve MCP Server

Pensieve MCP Server

Enables conversation history sharing between ChatGPT and Claude with secure multi-user support. Allows users to save, load, search, and manage conversations across different AI platforms with cloud deployment options.

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README

Pensieve MCP Server

A MCP (Model Context Protocol) server that enables conversation history sharing between ChatGPT and Claude with multi-user support and cloud deployment.

Features

  • Multi-user Support: Each user has their own isolated conversation space
  • Authentication: Secure JWT-based authentication
  • Cloud Deployment: Deploy to Azure Container Apps
  • Save Conversations: Store conversation history securely
  • Load Conversations: Retrieve saved conversations by ID
  • List Conversations: View all saved conversations
  • Search Conversations: Search conversation content by keywords
  • Append to Conversations: Add new messages to existing conversations

Installation

  1. Clone the repository:
git clone <repository-url>
cd pensieve-mcp
  1. Install dependencies:
uv pip install -e .

Usage in Claude

  1. Open Claude Desktop configuration file:

    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%\Claude\claude_desktop_config.json
  2. Add the following configuration:

{
  "mcpServers": {
    "pensieve-mcp": {
      "command": "uv",
      "args": ["run", "python", "-m", "mcp_server.server"],
      "cwd": "/path/to/pensieve-mcp"
    }
  }
}
  1. Restart Claude Desktop

Usage Examples

Save Conversation

Use the save_conversation tool to save the current conversation. You can add metadata like title or tags.

Load Conversation

Use the load_conversation tool to retrieve a previous conversation by its ID.

Search Conversations

Use the search_conversations tool to find conversations containing specific keywords.

Architecture

Local Mode

Conversation data is stored as JSON files in the ~/.pensieve-mcp/conversations/ directory.

Cloud Mode (Azure)

  • API Server: FastAPI backend deployed on Azure Container Apps
  • Database: Azure Cosmos DB (MongoDB API)
  • Authentication: JWT-based user authentication
  • MCP Client: Connects to the cloud API

Azure Deployment

  1. Prerequisites:

    • Azure CLI installed and logged in
    • Docker installed
  2. Deploy to Azure:

    cd deploy
    ./deploy-azure.sh
    
  3. Configure MCP client: Set the API URL in your environment:

    export PENSIEVE_API_URL="https://your-api-url.azurecontainerapps.io"
    

Using with Authentication

  1. Register a new account:

    Use the 'register' tool with your email and password
    
  2. Login:

    Use the 'login' tool with your credentials
    
  3. Your token will be automatically saved for subsequent requests.

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