
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.
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
- Clone the repository:
git clone <repository-url>
cd pensieve-mcp
- Install dependencies:
uv pip install -e .
Usage in Claude
-
Open Claude Desktop configuration file:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add the following configuration:
{
"mcpServers": {
"pensieve-mcp": {
"command": "uv",
"args": ["run", "python", "-m", "mcp_server.server"],
"cwd": "/path/to/pensieve-mcp"
}
}
}
- 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
-
Prerequisites:
- Azure CLI installed and logged in
- Docker installed
-
Deploy to Azure:
cd deploy ./deploy-azure.sh
-
Configure MCP client: Set the API URL in your environment:
export PENSIEVE_API_URL="https://your-api-url.azurecontainerapps.io"
Using with Authentication
-
Register a new account:
Use the 'register' tool with your email and password
-
Login:
Use the 'login' tool with your credentials
-
Your token will be automatically saved for subsequent requests.
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