Let coding agents spin up isolated, writable clones of production-like Postgres, MySQL and MongoDB data through MCP.
Query data, test migrations, change schemas and run code against realistic data, without giving agents access to production.
Read https://baseshift.com/auth.md and follow
it to start a Baseshift trial. Create a dub
from the demo database, start a clone, and use
the clone to test a schema change. When you're
done, stop the clone and show me the claim
link so I can keep the account.CopyTrusted by world class organizations

Agents write better code when they can see real data. Each clone is a full, masked copy your agent owns, so it can experiment freely and throw it away when it is done.
Debug against the edge cases that only exist in production, with PII already masked.
Run the migration on a prod-like copy and see what breaks before it ships.
Writable clones mean agents can add columns, indexes and tables without asking anyone.
Point the app and tests at the clone's connection string and run the full flow.
Sign up free, or paste one prompt and let your agent open a trial with a demo database. Claim it with one link to keep it.
Run Baseshift inside your own cloud or network, so your data never leaves it. Add your Postgres, MySQL or MongoDB source and masking policies apply before any clone exists.
Sign in once from Claude Code, Cursor or any MCP client. Your agent spins up isolated clones on its own, never touching production.
The agent queries, migrates and tests. Reset to a clean state in seconds, or delete the clone when the task is done.
Give every agent, worktree and PR its own clone without duplicating full databases or adding infrastructure. Run agents in parallel and let them all work at once.
Clones spin up in seconds without paying for another copy of your database each time.
Subset by tenant, table or date so each clone stays small and cheap to run.
Agents never share or wait on a staging database. Each one gets its own.
Clones are thrown away after the task, so you never pay for idle environments.
Production stays read-only to Baseshift and invisible to your agents. Every clone is masked before anyone, human or agent, can open it.
A PII scanner flags sensitive columns and masking policies apply before a clone exists.
Each agent gets its own writable copy. Parallel agents never clobber each other.
Self-host inside your network so production data never leaves it, or use Baseshift cloud.
See exactly what each agent ran, on which clone, and when.
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
No. The MCP server only creates and connects to clones. Agents never receive production credentials.
Any client that supports remote MCP servers, including Claude Code, Cursor and Codex. You sign in once with Google or your Baseshift password.
Yes. Your agent can open a trial account on its own and try Baseshift on a demo database. The trial includes 1 GB of snapshot storage and 60 clone credits for 72 hours. Claim it with the link your agent gives you to keep it and move to the free plan.
Baseshift syncs continuously from production, a read replica or staging, so every clone starts from current, masked data.
Yes. Subsetting policies let you exclude tables or filter rows: a single tenant, or just last month.
Sign up free, or let your agent start a trial and send you the link.