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AI Prompt Bucket

Prompts treated as deployable artefacts, with environments and an audit trail.

A prompt that decides what your product says is production code, and it usually lives in a string literal that nobody reviews. This gives prompts the handling code already gets: versions, environment promotion from dev to staging to prod, an audit trail of who changed what, and team-scoped access.

It also ships an MCP server, so an agent can fetch the current production prompt for a purpose rather than carrying its own drifting copy — which is the failure this exists to stop.

AI Prompt Bucket
Built with
Django · Postgres · Celery · MCP
Address
aipromptbucket.com
Also answers for
mcp.aipromptbucket.com
Status
Live

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