Neon MCP. Orchestrate your serverless Postgres infrastructure via AI.

You connect your AI client to this Neon MCP Server, and you get full command over your whole serverless PostgreSQL stack through simple conversation. Forget running a dozen cryptic CLI commands—you just tell your agent what you need done.

This thing handles the heavy lifting for modern Postgres deployments: it lets you provision entire environments, clone them safely for testing, audit every connection point, and manage user roles without ever touching the terminal.

Project Lifecycle Management

To start a new workspace or clear out an old one, you don't need to mess with setup scripts. You can ask your agent to list_projects to see every architectural Neon Serverless PostgreSQL Project you've got running. If you need a brand-new blank slate, it runs create_project, provisioning and initializing an empty serverless workspace instantly.

When you’re done with a project—really done—you just tell it to use delete_project. That permanently wipes out all the data, connection strings, and physical storage for that entire Neon Postgres ecosystem.

Auditing Resources and Connectivity

You gotta know what you're running. You can ask your agent about a specific Project ID using get_project; it analyzes the core project and reports back detailed regional deployment metrics and storage caps. To figure out exactly which connection endpoints your application drivers need, you run list_endpoints, discovering all active routing points for that project.

If you're checking internal database structures, running list_databases shows you every inherent SQL schema mapped to a branch, like 'main_db'. You can also use list_roles to extract all current PostgreSQL user roles and identities operating on a specific branch, which is critical for access control checks.

Isolated Testing and Branching

The real time-saver here is branching. When you need to test something risky, you don't mess with production data. You just ask your agent to create_branch, which makes a zero-copy clone (a CoW branch) of the entire live dataset. This gives you a safe, isolated environment for feature testing queries.

If you have multiple clones running, you can use list_branches to see every Copy-on-Write branches tied to your project ID. Need to know what changed in one specific clone? You tell it to run get_branch. It deconstructs the execution footprint of that single database branch, showing you its history and changes.

Inventory and Schema Deep Dive

When you're deep into a project, you can check out every internal SQL database schema mapped inherently to a given branch using list_databases, and if you need to audit who has access, the agent runs list_roles to enumerate all active PostgreSQL user roles.

This server takes the complexity of managing Postgres infrastructure—the kind of job that used to take hours running sequences of terminal commands—and boils it down. You just talk to your AI client, and it handles the provisioning, cloning, auditing, and tearing down for you.