How to Use the Neon (Serverless PostgreSQL) MCP in CrewAI

Q: How do I expose Neon (Serverless PostgreSQL) tools to specific agents in a CrewAI team?

Use MCPServerHTTP from crewai.mcp and apply a toolfilter. This lets you restrict tools like deleteproject to your admin agent while letting other agents use listbranches.

Q: How does CrewAI handle connection routing via listendpoints for Neon (Serverless PostgreSQL)?

CrewAI agents call listendpoints to retrieve active hostnames. The agents then format these hostnames into standard PgBouncer connection strings for downstream testing tasks.

Q: What is the fastest way to connect CrewAI to this MCP Server?

Pass the Vinkius URL directly in your Agent's mcps list. This simple configuration handles the transport layer and gives the agent instant access to all ten database tools.

Deploy specialized agent crews to manage, audit, and scale Neon (Serverless PostgreSQL) database branches autonomously in CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Neon (Serverless PostgreSQL) MCP to CrewAI

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

GDPR Free for Subscribers

Setup Neon (Serverless PostgreSQL) with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Coordinate multi-agent database branching pipelines in CrewAI

`create_branch` clones your database instantly, so your CrewAI developer agent spins up a sandbox while an analyst agent runs test queries. The crew coordinates these tasks using shared memory, passing branch details from one agent to the next. You pass the server URL to the crew's config using the `mcps` parameter. This gives your entire team of agents access to copy-on-write branching without manual script writing.

Autonomous database auditing and role management

`list_roles` extracts active SQL roles, so a security agent in your CrewAI team audits database permissions. The security agent flags unauthorized roles and coordinates with an admin agent to take corrective action. The crew executes these checks hierarchically, ensuring that sensitive tools like `list_roles` are only used by designated agents. This maintains strict operational boundaries within your autonomous database team.

Automated endpoint discovery and routing checks

`list_endpoints` discovers active routing endpoints, so a monitoring agent in CrewAI verifies connection paths. If an endpoint is unresponsive, the agent alerts the crew to spin up a backup branch. By exposing this MCP Server to your crew, you automate infrastructure monitoring. The agents use real-time connection data to maintain continuous database availability.

Setup guide

Set up Neon (Serverless PostgreSQL) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Neon (Serverless PostgreSQL) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Neon (Serverless PostgreSQL) Analyst",
    goal="Access and analyze Neon (Serverless PostgreSQL) data via MCP.",
    backstory="Expert analyst with direct Neon (Serverless PostgreSQL) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Neon (Serverless PostgreSQL) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Neon (Serverless PostgreSQL) Analyst",
        goal="Access and analyze Neon (Serverless PostgreSQL) data via MCP.",
        backstory="Expert analyst with direct Neon (Serverless PostgreSQL) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Neon (Serverless PostgreSQL) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Neon. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Neon (Serverless PostgreSQL) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Neon (Serverless PostgreSQL) MCP in CrewAI

Use `MCPServerHTTP` from `crewai.mcp` and apply a `tool_filter`. This lets you restrict tools like `delete_project` to your admin agent while letting other agents use `list_branches`.

Yes. CrewAI's shared memory allows a research agent that runs `create_branch` to pass the new branch ID directly to a testing agent for schema validation.

CrewAI agents call `list_endpoints` to retrieve active hostnames. The agents then format these hostnames into standard PgBouncer connection strings for downstream testing tasks.

Pass the Vinkius URL directly in your Agent's `mcps` list. This simple configuration handles the transport layer and gives the agent instant access to all ten database tools.

CrewAI executes all tool calls through secure, ephemeral V8 sandboxes. Your database schemas, active roles, and project connection strings are never stored or exposed to external networks during agent execution.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript