Enterprise DNA
M MCP Servers Developer low

spotdb

by ai.aliengiraffe

Give your agents a secure, containerized SQL sandbox with MCP or API access enabled with DuckDB. No infra required, quick spin-up cycle. Push any CSV — query, analyze, and move on.

S

MCP

spotdb

Added 1 June 2026

#agentic #agentic-ai #agentic-workflow #agents #ai #ai-agents #database #docker

Overview

spotdb provides a secure, containerized SQL sandbox for agents. It uses DuckDB and offers MCP or API access. Users can push CSV files for ad-hoc querying and analysis without managing infrastructure.

Best for

Best for
Developers building agent-based tools that need on-demand SQL analysis of tabular data

Use cases

  • Give agents ad-hoc SQL access to uploaded CSV data
  • Spin up disposable query environments for rapid analysis
  • Integrate DuckDB queries into agent workflows via MCP or API

How to use

Install

brew tap aliengiraffe/spaceship && brew install spotdb && spotdb

Tools exposed

  • brew
  • curl
  • npx

Tested with

Claude Code

Example client config

{\n  "mcp_servers": [\n    {\n      "name": "spotdb",\n      "url": "http://localhost:8081/stream",\n      "type": "mcp-remote"\n    }\n  ]\n}

Notes

spotdb provides a secure, containerized SQL sandbox for agents. It uses DuckDB and offers MCP or API access. Users can push CSV files for ad-hoc querying and analysis without managing infrastructure.

20 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Use cases

  • Give agents ad-hoc SQL access to uploaded CSV data
  • Spin up disposable query environments for rapid analysis
  • Integrate DuckDB queries into agent workflows via MCP or API

Pros

  • Secure containerized sandbox isolates queries
  • Zero infrastructure setup with quick spin-up
  • Leverages DuckDB for efficient SQL processing

Cons

  • Limited to DuckDB as the query engine
  • Small community and few GitHub stars
  • Primarily supports CSV data ingestion

Indexed from mcp-official-registry and enriched against its public facts.

Pros

  • Secure containerized sandbox isolates queries
  • Zero infrastructure setup with quick spin-up
  • Leverages DuckDB for efficient SQL processing

Cons

  • Limited to DuckDB as the query engine
  • Small community and few GitHub stars
  • Primarily supports CSV data ingestion
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