Ephemeral data sandbox for AI workflows with guardrails and security
If you already use Spotdb, the spotdb mcp server is the piece that lets your assistant work with it directly. Ephemeral data sandbox for AI workflows with guardrails and security.
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.
Installation goes through your MCP client rather than a global install: point it at mcp-remote on npm and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by ai.aliengiraffe; worth a glance at recent repository activity before you build anything load-bearing on it.
This entry was verified against Spotdb's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.
{
"mcpServers": {
"spotdb": {
"command": "npx",
"args": ["-y", "mcp-remote"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
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