aliengiraffe/spotdb
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.
See repository
Setup steps are in the repository README.
This setup prevents accidental data modification, ensures data privacy, and enforces guardrails for safe data exploration.
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.
Details on this page are taken from the project's README. Open README
supabase-community/supabase-mcp
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googleapis/genai-toolbox
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MobinX/awesome-mcp-list
This is a continuously updated curated list of MCP servers, covering categories such as browser control, arts and culture, cloud platforms, command line, communication, customer data platforms, databases, developer tools, data science tools, file systems, finance and fintech, gaming, knowledge and memory, location services, marketing, monitoring, search and utilities. Each project includes a GitHub link and star count for quick reference and use.
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bytebase/dbhub
[!NOTE] If you need an enterprise-level database MCP server with built-in guardrails like approval flow, access control, data masking, and audit logging beyond what DBHub offers, check out Bytebase.
