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Pensieve MCP Server

by EmjayAhn
README.md2.63 kB
# 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: ```bash git clone <repository-url> cd pensieve-mcp ``` 2. Install dependencies: ```bash 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: ```json { "mcpServers": { "pensieve-mcp": { "command": "uv", "args": ["run", "python", "-m", "mcp_server.server"], "cwd": "/path/to/pensieve-mcp" } } } ``` 3. 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: ```bash cd deploy ./deploy-azure.sh ``` 3. Configure MCP client: Set the API URL in your environment: ```bash 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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