How does Datadam integrate with AI tools?

It supports both streamable HTTP and stdio connections, allowing AI tools to perform CRUD operations (create, read, update, delete) on your personal data via a standardized protocol. It also includes a dedicated ChatGPT endpoint for simplified search and fetch.

Datadam is a Model Context Protocol (MCP) server designed to centralize and manage your personal data, making it easily shareable across various AI tools through a unified API.

Is Datadam secure for sensitive personal data?

Currently, Datadam does not include built-in authentication, so it is not recommended for storing sensitive data. OAuth integration is planned for future releases to secure user access.

Datadam

Name: Datadam
Author: KennethLeeJE8

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Enables seamless sharing and management of personal data across various AI tools through a unified Model Context Protocol server.

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

01Supports streamable HTTP and stdio connections for diverse client integration

02Offers a comprehensive suite of server-side tools for personal data CRUD operations

03Includes a dedicated ChatGPT endpoint with simplified search and fetch capabilities

04Manages personal data with categories, optional tags, and content classification

05Backed by Supabase for scalable and flexible data storage

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Use Cases

01Integrating personal data into multiple AI agents and tools (e.g., Claude Code, ChatGPT, Cursor)

02Developing AI applications that require a shared, structured personal data store

03Centralizing personal information for easy retrieval and manipulation by various AI-powered workflows