SpotDB MCP Server

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Give your agents a secure, containerized SQL sandbox

★ 21 Stars Category · Database Popular Source revision cfbbef27f89d

45FMRS · D

SpotDB provides a lightweight, secure sandbox with both MCP and API access, suitable for AI and data exploration, but note data ephemerality.

Reliability

9/20

Security and permissions

8/20

Maintenance

9/20

Documentation

9/20

Setup experience

10/20

Read the FMRS scoring method →

SpotDB is a lightweight, ephemeral data sandbox designed for large language models (LLMs) and agentic workflows. It provides a secure, isolated environment that allows AI agents and scripts to analyze data without direct access to production databases. This prevents accidental data modification, ensures data privacy, and enforces guardrails for safe data exploration. It supports MCP API for seamless AI integration and a REST API for traditional systems.

Setup

Install and start via Homebrew: brew tap aliengiraffe/spaceship && brew install spotdb, then run spotdb to start the server.
Add MCP via Claude Code: claude mcp add spotdb -s user -- npx -y mcp-remote http://localhost:8081/stream.
Upload a CSV and query data as per documentation.

Fit and risk

Best for

AI developers needing a secure, isolated data environment
Teams wanting controlled data exploration and analysis
Users wanting to quickly try DuckDB capabilities

Not for

Production environments requiring long-term persistent storage
Scenarios needing high concurrency or complex data pipelines
Users looking for a full-fledged database management tool

Required permissions

Can read user-provided CSV files
Can execute SQL queries (only within sandbox)
Can access data via API or MCP

Risks and side effects

Data may be ephemeral; save promptly
Sandbox may not directly access production databases
Relies on external components like Docker

Troubleshooting

Ensure SpotDB server is started: `spotdb`
Check ports 8080 and 8081 are open
Verify CSV upload format includes table name and file path

Use cases

Let AI agents analyze data in a safe sandbox without touching production databases

Quickly upload CSVs and run SQL queries for data exploration

Integrate an ephemeral data environment into MCP or REST workflows

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