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AI agents for Neon

A Monmo agent works with Neon the way a careful database engineer would. It answers questions in read-only SQL, tests a migration on a branch before it reaches production, finds slow queries and clears out preview branches nobody needs. It connects with the API key and database role you give it, and asks before it creates a branch, changes data or schema, or deletes anything.

Updated 2026-11-13 · Free to start. Paid plans from $15 a month.

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What agents do in Neon

  • Answer questions in read-only SQL

    Ask how many accounts signed up last week by plan. The agent writes the query, runs it with a read-only role, checks the totals and gives you the answer, or a Google Sheets table, with the SQL it used.

    AskHow many accounts signed up each day last week, split by plan? Show me the query you ran.
  • Test a migration on a branch

    Before a schema change ships, it creates a branch from production, runs the migration there, times it and posts the schema diff on the GitHub pull request. Creating the branch and posting ask first; production is untouched.

    AskBranch production, run migration 0042 on the branch and tell me how long it took and what changed.
  • Clear out stale preview branches

    Preview deployments in Vercel can leave a branch behind for each pull request. It lists branches whose pull request has closed, with their size and last activity, and deletes the ones you tick.

    AskList Neon branches made for preview deployments whose pull requests are closed. I will choose which to delete.
  • Find the slowest queries

    Using pg_stat_statements where it is enabled, it ranks queries by total time, reads the query plans and drafts a Slack note with an index or a rewrite for the worst five. Adding an index waits for your approval.

    AskFind the five queries that cost us the most time this week and suggest an index or rewrite for each.
  • Recover rows deleted by mistake

    If rows were deleted at 14:05, it prepares a branch from just before that moment, within your project's history retention, compares the two and drafts the statement that would put them back. Each step asks first.

    AskSomeone deleted orders for account 381 around 14:05 today. Get them back from history, but ask before each step.
  • Review compute settings

    It reads each compute's autoscaling range and scale-to-zero setting next to its real usage, and tells you where a minimum is set higher than the traffic needs or where cold starts slow people down.

    AskLook at our Neon computes and tell me if the autoscaling ranges and scale to zero settings fit how they are used.
  • Audit roles and access

    It lists the database roles in each branch, what each can read and write, and which ones your apps actually use, then drafts the grants or revokes to tighten them for you to approve.

    AskList every role on the production branch, what it can do, and which ones look unused.

How it connects

  1. 1You connect a Neon API key once, and give the agent a database role for queries. A project-scoped key and a read-only role are a good start; an organisation key reaches every project.
  2. 2Neon is for your engineering agent, and for a data agent that only needs the read-only role to answer questions. Keep it away from agents with no database work.
  3. 3Running read-only queries and reading branches, metrics and settings need no approval. Creating or deleting a branch, restoring, running a migration and any insert, update or delete each ask first.

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FAQ

Questions people ask

Can an AI agent run SQL on my Neon database safely?

Give it a read-only role and it can answer questions without being able to change anything. The AI agent writes the query, runs it and shows you the SQL with the answer. If you also give it a role that can write, every statement that changes data or schema still waits for your approval on a card.

Can the agent create Neon branches for testing?

Yes, once you allow it. Branching suits an agent well: it can copy production into a branch, run a migration or a risky query there and report back while production stays as it was. Creating the branch happens through the Neon connection, or in its own browser when the connection does not cover something.

Will it run migrations on our production branch?

Only when you approve that exact migration. The usual order is to test it on a branch first, show you the timing and the schema difference, then ask to run it against production. Many teams prefer that the migration ships through their normal pull request and deploy instead, and the agent can work that way too.

Can an AI agent recover data in Neon after a bad delete?

Often, if the moment you need is still within your project's history retention. The agent prepares a branch from just before the delete, finds the missing rows and drafts the statement to restore them. Each step, from the branch to the final insert, asks first, and you check the rows before anything goes back.

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