How to Use the Neon MCP in Pydantic AI

Q: How do I load Neon tools into Pydantic AI?

Initialize MCPToolset with your Vinkius HTTP URL and register it in your Pydantic AI agent. The framework automatically auto-discovers all seventeen Neon MCP tools.

Q: Does Pydantic AI validate Neon connection strings?

Yes, when your agent calls getconnectionuri, Pydantic AI validates the structure of the returned PostgreSQL connection string via the MCP protocol. This prevents malformed URIs from breaking your app.

Q: Can Pydantic AI handle Neon project deletions?

Yes, you can call deleteproject to tear down resource groups. The agent validates the confirmation response to ensure the deletion succeeded.

Q: How do I manage primary branches safely?

Use setprimarybranch to promote a specific branch. The agent validates the returned metadata to confirm the new default branch is active via MCP.

Build type-safe database pipelines with Pydantic AI validating every Neon branch and database operation.

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Connect Neon MCP to Pydantic AI

Create your Vinkius account to connect Neon to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Neon with Pydantic AI

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Branch databases safely using Pydantic AI

The `create_branch` tool creates an isolated Neon database environment instantly without copying data. Your Pydantic AI agent validates the returned Neon branch metadata against strict schemas, catching configuration mismatches before they hit your code. Your agent can then use `get_branch` to verify the Neon branch status before running migrations. This MCP Server ensures that your serverless database operations remain completely type-safe.

Provision databases with strict runtime validation

The `create_database` tool provisions a new Neon database on any branch with a designated owner. Your Pydantic AI workflow validates the database name and owner parameters at runtime, preventing silent SQL injection or formatting bugs. You can use `list_databases` to inspect your Neon project structure programmatically. This keeps your dynamic database provisioning predictable and safe.

Generate validated database roles on the fly

The `create_role` tool generates database credentials and roles for your serverless Neon branches. Your Pydantic AI agent parses the generated passwords and usernames into typed models, ensuring secure transmission to your application. The agent can then use `list_roles` to audit active Neon database users. This prevents stale credentials from lingering in your staging environments.

Setup guide

Set up Neon MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "neon-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Neon tools.",
)

result = await agent.run("List recent Neon transactions")
print(result.output)

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Common questions about Neon MCP in Pydantic AI

Initialize `MCPToolset` with your Vinkius HTTP URL and register it in your Pydantic AI agent. The framework automatically auto-discovers all seventeen Neon MCP tools.

Yes, when your agent calls `get_connection_uri`, Pydantic AI validates the structure of the returned PostgreSQL connection string via the MCP protocol. This prevents malformed URIs from breaking your app.

Yes, you can call `delete_project` to tear down resource groups. The agent validates the confirmation response to ensure the deletion succeeded.

Use `set_primary_branch` to promote a specific branch. The agent validates the returned metadata to confirm the new default branch is active via MCP.

All PostgreSQL connection URIs, role passwords, and database metadata are encrypted in transit. Vinkius executes these calls in isolated sandboxes, preventing Pydantic AI from exposing secrets in plain text.

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