Neon (Serverless PostgreSQL) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Neon (Serverless PostgreSQL) as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Neon (Serverless PostgreSQL). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Neon (Serverless PostgreSQL)?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Neon (Serverless PostgreSQL) MCP Server
Connect your Neon account to any AI agent and take full control of your serverless PostgreSQL infrastructure, database branching, and project orchestration through natural conversation.
LlamaIndex agents combine Neon (Serverless PostgreSQL) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Project Orchestration — List all managed serverless workspaces and retrieve detailed regional deployment metrics and regional Caps directly from your agent
- Zero-Copy Branching — Instantly spawn brand new database branches (CoW) containing identical production schema duplicates for isolated feature testing or rapid CI/CD cycles
- Compute Management — Discover and list explicit compute endpoints (e.g., ep-misty-water-123) to retrieve the exact connection strings required for your application drivers
- Branch Audit — Inspect the execution footprint of specific branches, tracking storage deltas and timeline points (LSN) to understand exactly when a branch split from its parent
- Database Inventory — Enumerate internal SQL database schemas and catalog namespaces mapped inherently to specific branches to guide your connection logic
- Role Management — List and audit PostgreSQL user identities and credential roles capable of querying against specific bounded logical nodes securely
- Resource Provisioning — Initialize fresh serverless workspaces or permanently wipe out entire database ecosystems with irreversible architectural commands
The Neon (Serverless PostgreSQL) MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Neon (Serverless PostgreSQL) to LlamaIndex via MCP
Follow these steps to integrate the Neon (Serverless PostgreSQL) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Neon (Serverless PostgreSQL)
Why Use LlamaIndex with the Neon (Serverless PostgreSQL) MCP Server
LlamaIndex provides unique advantages when paired with Neon (Serverless PostgreSQL) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Neon (Serverless PostgreSQL) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Neon (Serverless PostgreSQL) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Neon (Serverless PostgreSQL), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Neon (Serverless PostgreSQL) tools were called, what data was returned, and how it influenced the final answer
Neon (Serverless PostgreSQL) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Neon (Serverless PostgreSQL) MCP Server delivers measurable value.
Hybrid search: combine Neon (Serverless PostgreSQL) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Neon (Serverless PostgreSQL) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Neon (Serverless PostgreSQL) for fresh data
Analytical workflows: chain Neon (Serverless PostgreSQL) queries with LlamaIndex's data connectors to build multi-source analytical reports
Neon (Serverless PostgreSQL) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Neon (Serverless PostgreSQL) to LlamaIndex via MCP:
create_branch
Duplicates Petabytes of PostgreSQL storage instantly using filesystem CoW links, generating an isolated query testing ground tied back directly to the `parent_id` source. Spawn a zero-copy clone (Branch) of a PostgreSQL dataset
create_project
Provision an empty Neon Project Serverless Workspace
delete_project
Destroys all edge-served connection strings, severs active client connections, and completely evaporates physical NVMe-backed storage blocks. Permanently wipe out a complete Neon Postgres ecosystem
get_branch
Deconstruct the execution footprint of one specific Branch
get_project
g. AWS eu-central-1) and storage size consumption caps bounded specifically to this project ID. Analyze core routing logic mapping a Neon Project
list_branches
Maps `main` branches to experimental `feature-123` branches spawned in milliseconds containing identical production schema duplicates. List Copy-on-Write (CoW) Branches resolving to a Project
list_databases
g. `main_db`, `analytics_db_schema`). Crucial for forming absolute Postgres connection strings resolving directly to correct schemas. Identify internal SQL Database schemas mapped inherently to a Branch
list_endpoints
eu-central-1.aws.neon.tech`) used practically within standard PgBouncer drivers to actively ingest real query traffic to associated active branches. Discover connection routing endpoints spanning the Neon project
list_projects
List architectural Neon Serverless PostgreSQL Projects
list_roles
Maps directly to standard SQL internal `CREATE USER` outputs wrapped safely upstream. Extract PostgreSQL user Roles operating on a Branch
Example Prompts for Neon (Serverless PostgreSQL) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Neon (Serverless PostgreSQL) immediately.
"List all serverless projects in my Neon account"
"Create a new branch called 'feat-user-auth' from the 'main' branch"
"What databases and roles are configured on branch 'br-12345'?"
Troubleshooting Neon (Serverless PostgreSQL) MCP Server with LlamaIndex
Common issues when connecting Neon (Serverless PostgreSQL) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpNeon (Serverless PostgreSQL) + LlamaIndex FAQ
Common questions about integrating Neon (Serverless PostgreSQL) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Neon (Serverless PostgreSQL) with your favorite client
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Neon (Serverless PostgreSQL) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.