Guepard
what is Guepard?
Guepard is an agent-native data platform that brings Git-style versioning to databases, enabling instant branching, safe snapshots, and full time-travel capabilities for developers and AI agents to explore, test, and collaborate on data without fear of corruption or downtime.
how to use Guepard?
To use Guepard, set up the multi-compute server by running the provided Docker command with your access token. This allows you to create a flexible, version-controlled workspace for your databases.
key features of Guepard?
- Instant Branching: Create branches from any snapshot to test features or run migrations safely.
- Snapshots & Time-Travel: Move backward or forward in your data history for reproducibility and disaster recovery.
- Agent-Native Design: Built for AI workflows, enabling seamless collaboration between agents and developers.
- Database-Agnostic: Compatible with various databases like Postgres, MySQL, and ClickHouse.
- Cloud-Native & Scalable: Designed to scale with modern infrastructure, providing isolated and reversible environments.
use cases of Guepard?
- Testing new features in a safe environment without affecting production data.
- Collaborating on data-driven projects with AI agents in real-time.
- Performing disaster recovery by reverting to previous data snapshots.
FAQ from Guepard?
- Can Guepard work with any database?
Yes! Guepard is designed to be database-agnostic and works with multiple database systems.
- Is Guepard suitable for AI workflows?
Absolutely! Guepard is built specifically for AI environments, allowing agents to operate safely.
- How does Guepard ensure data safety?
Guepard provides safe snapshots and time-travel capabilities, allowing users to revert to previous states without data loss.
Server Config
{
"mcpServers": {
"Guepard": {
"env": {
"ACCESS_TOKEN": "<your_guepard_acces_token_here>"
},
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"ACCESS_TOKEN",
"mghassen/guepard-mcp-server:1.4.0"
]
}
}
}