Spotdb MCP Server

Ephemeral data sandbox for AI workflows with guardrails and security

What the server does

This project provides a lightweight, ephemeral data sandbox designed for large language models (LLMs) and agentic workflows. By providing a secure, isolated environment, it allows AI agents and scripts to analyze data without direct access to production databases. This setup prevents accidental data modification, ensures data privacy, and enforces guardrails for safe data exploration.

• 🏖️ Ephemeral Data Sandbox: Create temporary databases for AI workflows and data exploration
• 📸 Snapshot: Capture and store data snapshots, recover point-in-time data states or continue from a previous state
• 🧠 MCP API: Access data through a Model Context Protocol for seamless integration with AI models and agentic workflows
• ⚙️ REST API: Access data through a RESTful API for integration with traditional systems and workflows
• 🚂 Guardrails: Enforce rules and constraints to ensure data safety and privacy
• 🛡️ Security: Protect data from unauthorized access and modification

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Maintainer setup documentation.