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

Q: How do I filter tools for Neon (Serverless PostgreSQL) in LlamaIndex?

You use the allowedtools parameter during setup. This restricts your agent to only the functions you need for database management.

Q: How is my database role information secured in Neon (Serverless PostgreSQL) for LlamaIndex?

The server enforces strict access controls on listroles output. Only authorized processes can ingest this sensitive user data into your local index.

Index your infrastructure state into LlamaIndex using the Neon (Serverless PostgreSQL) MCP Server for grounded RAG.

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 LlamaIndex

Create your Vinkius account to connect Neon (Serverless PostgreSQL) to LlamaIndex 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 LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Ground LlamaIndex queries in database state

Feed your project metadata into your vector store by calling `list_projects`. You index the output so your RAG application understands your current infrastructure. This turns raw API data into searchable context. Your agents answer questions based on real project IDs and branch names.

Search database schemas with LlamaIndex

Retrieve schema details via `list_databases` and store them as knowledge. You query your own infrastructure configuration as if it were a document. This removes the need for manual documentation. Your agents see the exact structure of your Postgres tables in real time.

Audit branches using LlamaIndex indexing

Map all your `list_branches` output into your index for semantic search. You find specific feature branches by their purpose or creation time. It makes navigating complex environments trivial. Your agents retrieve branch details instantly to help with development tasks.

Setup guide

Set up Neon (Serverless PostgreSQL) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Neon (Serverless PostgreSQL) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Neon (Serverless PostgreSQL) tools.",
)
response = await agent.run("List recent Neon (Serverless PostgreSQL) data")

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 LlamaIndex

Use the MCP tool spec to pull data from the server. Once the tool returns the project list or branch data, you pass that into your vector store.

Yes. By using the tool spec, LlamaIndex treats your database endpoints as a searchable resource within your RAG pipeline.

It does. Since the agent retrieves live infrastructure data, your answers are grounded in reality rather than cached or outdated information.

You use the allowed_tools parameter during setup. This restricts your agent to only the functions you need for database management.

The server enforces strict access controls on `list_roles` output. Only authorized processes can ingest this sensitive user data into your local index.

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