MCP Server

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MIT

ai.aliengiraffe/spotdb MCP Server

ai.aliengiraffe/spotdb

Ephemeral data sandbox for AI workflows with security guardrails and snapshot capabilities.

What is the ai.aliengiraffe/spotdb MCP server?

SpotDB is a lightweight, ephemeral data sandbox designed for LLMs and agentic workflows. It provides a secure, isolated environment for AI agents to analyze data without direct access to production databases, with built-in guardrails and security controls. Data can be uploaded via CSV, queried through MCP or REST APIs, and snapshots can be captured for point-in-time recovery.

SpotDB creates temporary, isolated databases for safe data exploration by AI agents and scripts. It prevents accidental data modification, ensures privacy, and enforces guardrails while offering both MCP and REST API access. Ideal for giving AI workflows controlled access to data without exposing production systems.

How to install ai.aliengiraffe/spotdb

Copy-paste configuration for popular MCP clients.

transport: stdio

Config generated by PluginBench — verify against the source before use.

Environment / auth

X-API-Key
secret
Optional API key for request authentication

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "spotdb": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "docker.io/aliengiraffe/spotdb:0.1.0"
      ],
      "env": {
        "X-API-Key": "<YOUR_X_API_KEY>"
      }
    }
  }
}

Tools & capabilities

Tools this server exposes to the agent.

CSV Upload — Upload CSV files to create tables in the ephemeral sandbox
SQL Query — Execute SQL queries against uploaded data via REST API
Snapshot — Capture and store data snapshots for point-in-time recovery or state continuation
MCP API — Access data through Model Context Protocol for seamless AI integration
REST API — Query and manage data through RESTful endpoints
Explorer UI — Web-based interface for uploading files and querying data

Use cases

Give Claude or other AI agents safe access to analyze CSV data without touching production databases
Create temporary data environments for data exploration and prototyping
Capture snapshots of data states and resume analysis from previous points
Build agentic workflows that need controlled, sandboxed database access
Enforce data privacy and guardrails while allowing AI-driven data analysis

ai.aliengiraffe/spotdb MCP server FAQ

What is SpotDB?

SpotDB is an ephemeral data sandbox that provides AI agents and LLMs with secure, isolated access to data for analysis and exploration without risking production systems.

How do I upload data?

Upload CSV files via the REST API endpoint `/api/v1/upload` or use the Explorer UI at `http://localhost:8080/explorer`.

How do I integrate SpotDB with Claude?

Install the spotdb MCP server using `claude mcp add spotdb -s user -- npx -y mcp-remote http://localhost:8081/stream` after starting the spotdb server.

Is SpotDB free?

The README does not specify pricing; check the repository for licensing details.

What data formats does SpotDB support?

SpotDB supports CSV file uploads. Data is queried using standard SQL.

Can I recover previous data states?

Yes, SpotDB supports snapshots that allow you to capture and recover point-in-time data states or continue from a previous state.

README (reference)

Source of truth, from the repository.

SpotDB

Lightweight data sandbox for AI workflows and data exploration, enabled with guardrails and security to keep your data safe.

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.

Features

🏖️ 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.

Quick Start

Tap the repository and install the package:

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

Start the server:

spotdb

Upload a CSV file:

curl -X POST \
  http://localhost:8080/api/v1/upload \
  -F "table_name=mytable" \
  -F "has_header=true" \
  -F "csv_file=@data.csv"

Query the data:

curl -X POST \
  http://localhost:8080/api/v1/query \
  -H "Content-Type: application/json" \
  -d '{"query": "SELECT * FROM mytable LIMIT 10"}'

Setup Claude Code You must have the claude command installed.

Then, you can add the spotdb mcp:

claude mcp add spotdb -s user -- npx -y mcp-remote http://localhost:8081/stream

Use Explorer UI

Open the Explorer UI in your browser and upload files and query the data:

open http://localhost:8080/explorer

Full Documentation

👉 https://github.com/aliengiraffe/spotdb/blob/main/DOCS.md

ai.aliengiraffe/spotdb MCP Server

What is the ai.aliengiraffe/spotdb MCP server?

How to install ai.aliengiraffe/spotdb

Tools & capabilities

Use cases

ai.aliengiraffe/spotdb MCP server FAQ

SpotDB

Lightweight data sandbox for AI workflows and data exploration, enabled with guardrails and security to keep your data safe.

Features

Quick Start

Use Explorer UI

Full Documentation

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