Datadam
Enables seamless sharing and management of personal data across various AI tools through a unified Model Context Protocol server.
About
Datadam functions as a Model Context Protocol (MCP) server, offering a centralized hub for managing and accessing personal data across diverse AI applications. Backed by Supabase, it provides both streamable HTTP and stdio connections, allowing AI tools to interact with a single personal database. Users can store structured JSON content with categories, tags, and classifications, and access robust tools for searching, extracting, creating, updating, and deleting records. It also features a specific endpoint optimized for ChatGPT, making it easier to integrate personal data into conversational AI workflows.
Key Features
- Supports streamable HTTP and stdio connections for diverse client integration
- Offers a comprehensive suite of server-side tools for personal data CRUD operations
- Includes a dedicated ChatGPT endpoint with simplified search and fetch capabilities
- Manages personal data with categories, optional tags, and content classification
- Backed by Supabase for scalable and flexible data storage
- 0 GitHub stars
Use Cases
- Integrating personal data into multiple AI agents and tools (e.g., Claude Code, ChatGPT, Cursor)
- Developing AI applications that require a shared, structured personal data store
- Centralizing personal information for easy retrieval and manipulation by various AI-powered workflows
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