Neon MCP. Manage Postgres branching via conversation.
Neon MCP gives your agent full control over serverless PostgreSQL infrastructure. You can manage complex database projects, automatically clone entire datasets for testing, and audit resource usage without writing a single command line script. It helps you spin up isolated feature branches, provision new workspaces, or wipe out old environments just by talking to your AI client.
Give Claude and any AI agent real-world access
List all managed projects and retrieve metrics like regional caps and deployment stats for an overview of your entire infrastructure.
Instantly clone the entire production schema into a new, isolated branch. This lets developers test features against identical live data without touching the main database.
Audit how much storage specific branches are using or map out all internal SQL schemas tied to a given project.
List, audit, and manage the various PostgreSQL roles to ensure only authorized users can query specific data nodes.
Initialize brand new serverless projects or permanently delete entire database ecosystems with one command.
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What AI agents can do with Neon (Serverless PostgreSQL) MCP: 10 Tools
These tools let you manage every aspect of your serverless database infrastructure—from listing workspaces to cloning production data.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Neon (Serverless PostgreSQL) MCPCreate Branch
Clones an entire production dataset into a brand new, isolated testing branch for safe query execution.
Create Project
Provisions and initializes a completely empty Neon Project serverless workspace.
Delete Project
Permanently wipes out an entire database ecosystem, destroying all connected...
Get Branch
Provides a detailed report on the execution activity and resource footprint of one...
Get Project
Analyzes core routing logic for a project, providing details like regional metrics...
List Branches
Maps all available Copy-on-Write branches associated with a main project source.
List Databases
Identifies all internal SQL schemas and catalog namespaces mapped to a specific data branch, helping form correct connection strings.
List Endpoints
Discovers the active connection routing endpoints used by your application drivers...
List Projects
Lists all managed serverless PostgreSQL projects and workspaces within the Neon...
List Roles
Extracts a list of all active PostgreSQL user roles operating on a branch, showing...
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
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Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Neon (Serverless PostgreSQL), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,200+ others, all in one place
- Add new capabilities to your AI anytime you want
- Connections are secured and governed automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
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VINKIUS CLOUD
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on each call
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EU data residency
Token Compression
~60% cost reduction
Debugging Postgres infrastructure used to mean clicking through five different tabs.
Today, debugging complex serverless databases feels like detective work. You have to jump from the project overview tab, over to the resource usage dashboard, then check which branch is active, and finally look at a separate schema inventory list—all while trying to figure out if the connection endpoint you found yesterday is still valid today.
With this MCP, you talk to your agent. You describe what's broken or what needs testing. The system handles the multi-step process: it identifies the correct branch, checks its resource footprint using `get_branch`, and tells you exactly which connection point to use. It just works.
Using Neon MCP gives you full control over your data branches.
Before this, setting up a test environment meant manual scripting: cloning the schema definition, configuring network access, and hoping the connection strings matched. It was slow, brittle, and prone to human error every single time.
Now you simply ask your agent to `create_branch`. The system handles the zero-copy duplication of petabytes of data instantly. You get an isolated testing ground ready for queries in minutes.
What Neon MCP does for your AI
Managing modern cloud databases is usually a nightmare of CLI commands and complex networking diagrams. This MCP lets you treat your entire serverless PostgreSQL environment like a conversation. You connect your Neon account through Vinkius, giving your agent the keys to everything: project structure, data branches, and user permissions.
Forget logging into ten different dashboards just to check storage caps or figure out where your application needs to point. Your AI client handles that complexity for you. Need to test a massive feature change? You can ask it to instantly create a zero-copy clone of the entire production dataset in an isolated branch.
Want to verify if a user has permission to run certain queries? The agent lists and audits all roles, keeping your system secure. It's about getting immediate, conversational control over every part of your data stack—from provisioning whole new workspaces to inspecting deep execution footprints on specific branches.
019d75dc-3168-7318-b86d-c2e7878c57ae How to set up Neon MCP
The bottom line is that this MCP turns complex database administration into simple natural language chat commands.
Subscribe to this MCP on Vinkius and provide your Neon API Key.
Connect your preferred AI client (Claude, Cursor, etc.) to the service.
Ask your agent a question like, 'Can you create a testing branch from main?' and let it handle the rest.
Who uses Neon MCP
This is for Platform Engineers, Backend Developers, and Database Administrators who get frustrated with manual CLI scripting or having to jump between multiple cloud dashboards just to run a basic test. You need full visibility into your database lifecycle.
Uses the MCP to create temporary, isolated branches for feature testing and verifying schema changes without risking production data.
Monitors storage caps across multiple Neon projects, audits compute endpoint usage, and manages user roles securely from a conversational interface.
Automates the provisioning of new serverless workspaces or cleans up deprecated environments using single chat commands to maintain high reliability standards.
Benefits of connecting Neon MCP
Spin up isolated testing environments instantly. Use create_branch to clone production data, allowing developers to test major features without ever impacting the live system.
Get full infrastructure visibility with list_projects. You can see all your workspaces and understand their regional deployment metrics in one chat session.
Debug connection issues quickly. Run list_endpoints to discover the exact routing addresses needed for your application drivers, eliminating guesswork.
Maintain security through conversation. Audit user access rights by calling list_roles, ensuring only authorized personnel can query sensitive data nodes.
Control your lifecycle efficiently. Use delete_project when a workspace is deprecated, or use create_project to spin up fresh environments on demand.
Neon MCP use cases
Testing a major API rewrite
A backend developer needs to test how a new payment module interacts with live data. Instead of manually setting up a staging database, they ask the agent to create_branch from main. The branch is ready in minutes, isolated and perfectly mirroring production.
Preparing for quarterly cleanup
A platform engineer knows several old development workspaces are unused. They use the MCP to run list_projects, identify the targets, and then issue a single command using delete_project to wipe out the entire ecosystem safely.
Debugging connection strings
The application team is having connectivity issues. The DBA asks the agent to run list_endpoints and get_project. The agent provides a list of active routing endpoints, solving the connection string problem instantly.
Compliance audit prep
A security officer needs to know exactly who can access the production data. They run list_roles on the specific branch and get an immediate audit report of all defined user identities and their permissions.
Neon MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Manual schema mapping
Trying to manually map out every internal SQL database schema by logging into multiple dashboards or referencing old documentation.
Instead, ask the agent to list_databases on your target branch. It pulls all inherent schemas automatically and provides them in plain text.
Guessing connection points
Assuming that one database endpoint works for every part of your application stack when it might only cover a specific region or project.
Always run list_endpoints and verify the output with get_project. This confirms all active, usable routing connections.
Over-provisioning resources
Creating dozens of development workspaces just because 'it's easy to spin up a new one.' This leads to massive storage costs and management overhead.
Use list_projects first. If you need a temporary test, use create_branch. Only create_project when you genuinely need an entirely separate workspace.
When to use Neon MCP
Use this MCP if your workflow involves managing the lifecycle of multiple serverless database environments—specifically if you deal with branching, provisioning, or auditing complex Postgres setups. If you constantly ask: 'What can I test without breaking production?' or 'Where is my connection string for this specific feature branch?', then this tool handles that complexity via conversation. Don't use it if all you need is to run a simple SELECT query on an already configured and stable database; in those cases, a direct connection using standard credentials is faster.
Frequently asked questions about Neon MCP
How do I list all my Neon projects using the Neon MCP? +
You run list_projects. This tool gives you a complete map of every serverless workspace you own, letting you see which environments are active and where they are located.
What is the difference between creating a project and creating a branch with Neon MCP? +
Creating a project (create_project) builds an entirely new, empty serverless workspace. Creating a branch (create_branch) clones all of the data from an existing source into a new testing area.
Can I wipe out an entire database using Neon MCP? +
Yes, you use delete_project. This command permanently destroys every resource and connection associated with that project. Use it carefully; there's no undo.
How can I find the correct connection string for my application? +
The agent uses list_endpoints to discover all active connection routing points across your Neon project, giving you the precise URLs needed for your drivers.
Powerful workflows you can unlock today
Build Serverless Data Warehouses Using MCP
You scrape data into CSV files that nobody queries , Firecrawl extracts structured web data, Neon stores it in serverless PostgreSQL you can query with SQL, and Sheets visualizes the results
Track Database Performance Issues Using MCP
Query performance profiled, slow queries caught, branch costs tracked, optimization reports generated , DBA-level visibility without a DBA