spotdb
VerifiedEphemeral data sandbox for secure LLM and agentic workflows.
What is the spotdb MCP server?
SpotDB is a lightweight ephemeral data sandbox tailored for LLMs and agentic workflows. It delivers secure, isolated environments that allow analysis without direct production database access while enforcing privacy and safety constraints.
Key capabilities include snapshot capture for point-in-time recovery, MCP protocol support for AI integration, REST endpoints, and CSV upload handling. Guardrails and security features protect against accidental changes or unauthorized access.
Install & connect
Add this to your MCP client config. Pick your client below and copy.
{
"mcpServers": {
"spotdb": {
"command": "npx",
"args": [
"-y",
"docker.io/aliengiraffe/spotdb:0.1.0"
],
"env": {
"X-API-Key": "<YOUR_X-API-Key>"
}
}
}
}Package: docker.io/aliengiraffe/spotdb:0.1.0 (oci)
Example prompts
Once connected, try asking your AI client:
Configuration
Environment variables this server needs.
| Variable | Required | Description |
|---|---|---|
X-API-Keysecret | No | Optional API key for request authentication |
Security & permissions
Uses stdio transport and requires the X-API-Key environment variable for authentication. Operates on local ephemeral databases only.
What you can do with spotdb
Secure Data Exploration
AI agents can query and analyze uploaded datasets in temporary databases without risking production systems.
Workflow Snapshots
Capture and restore point-in-time database states to continue experiments or recover from errors.
CSV-Based Analysis
Upload CSV files via API and run SQL queries through MCP or REST for quick data insights.
How to use spotdb
- 1Install via brew tap aliengiraffe/spaceship followed by brew install spotdb.
- 2Launch the server with the spotdb command.
- 3Set the X-API-Key environment variable before connecting.
- 4Use claude mcp add to register the server for your AI client.
- 5Upload CSVs and query data through the MCP interface or Explorer UI.
spotdb: pros & cons
Pros
- +Strong isolation and guardrails for safe AI data use
- +Built-in snapshot and recovery features
- +Supports both MCP and REST access patterns
- +Lightweight setup with CSV upload support
Cons
- –Data is ephemeral unless snapshots are used
- –No documented MCP-specific tool list in README
- –Primarily designed for temporary rather than persistent workloads
Frequently asked questions
No, databases are ephemeral; use the snapshot feature to preserve state.
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