Backenly is an autonomous PostgreSQL backend platform designed for AI coding agents to provision resources over MCP while automated guardrails safely audit, self-heal, and gate risky changes.
What the product does and how it is positioned
Backenly is an autonomous backend platform designed to work alongside AI coding agents such as Claude Code, Cursor, Codex, and Cline. Coding agents provision schemas, configure row-level security, set up user authentication, and enable realtime streams over the Model Context Protocol (MCP) or through a command-line interface.
Beyond initial generation, Backenly operates a continuous observation loop that evaluates backend health every minute. Additive performance enhancements, such as missing indexes, are automatically applied with point-in-time undo snapshots, whereas potentially breaking modifications and schema drops remain gated behind mandatory administrator approvals.
Source-supported ways to use the product
Developers use coding agents connected via MCP to generate database tables, define row-level security policies, and activate authentication schemes directly against isolated PostgreSQL schemas.
Teams run continuous minute-by-minute checks that detect slow queries and missing indexes, allowing the platform to apply additive database optimizations autonomously.
Operators split multi-responsibility tables by rehearsing structural migrations on real row duplicates, reviewing non-destructive data synchronization before releasing to production.
The documented workflow, where available
Connect a supported coding agent to Backenly using the official MCP server integration or the CLI tool.
Direct the agent to generate database tables, specify row-level security rules, configure authentication, and wire storage or realtime streaming.
Backenly runs health checks every minute to evaluate active database queries and relational structures.
The system applies safe, additive index updates with automatic undo points while holding destructive or relational write-altering requests for manual review.
Administrators inspect staged changes, review schema refactoring rehearsals, and approve actions through the project dashboard.
Backenly balances agent automation with strict operational safety by categorizing system updates based on risk. A self-healing loop runs every minute to inspect system performance across the backend. When safe optimizations such as missing indexes are discovered, Backenly generates a snapshot of the prior state, executes the additive change, and verifies query execution before marking the issue resolved.
High-risk changes are intentionally blocked by safety guardrails. Operations involving dropped tables, foreign keys that alter write behavior, authentication adjustments, or destructive statements are placed in a pending state. For structural refactoring, the platform rehearses operations on row copies to ensure existing applications remain functional while awaiting human review.
Checks to run with your own material and workflow
What was checked and when
Answers based on the source-checked product record
Coding agents connect using the Backenly Model Context Protocol server, a dedicated command-line interface, or predefined agent skills to manage schemas, authentication, and integrations.
Destructive operations, schema drops, and authentication adjustments are blocked by safety guardrails and held in the dashboard for manual human approval.
Each project is provisioned with a dedicated PostgreSQL schema and private signing secret rather than filtering shared tables with application-level WHERE clauses.
Backenly Cloud operates across regions in Mumbai, Frankfurt, US East, US West, and Singapore, and the Apache-2.0 open-source version can be self-hosted on custom servers.
Backenly evaluates database health every minute, applies safe additive fixes after taking a state snapshot, and re-runs the initial check to verify problem resolution.
