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How to Use the ElectricSQL (Sync Engine) MCP in OpenAI Agents SDK

Get real-time Postgres data directly into your OpenAI Agents SDK workflow without the usual sync overhead.

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OpenAI Agents SDK

Connect ElectricSQL (Sync Engine) MCP to OpenAI Agents SDK

Create your Vinkius account to connect ElectricSQL (Sync Engine) to OpenAI Agents SDK 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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Pull Postgres shapes into OpenAI Agents SDK

The `get_shape` tool connects your agent to the ElectricSQL (Sync Engine) HTTP API. You get an immediate snapshot of your database tables, which is exactly what you need to ground your agent in current truth. Pass an offset of -1 to perform your initial sync. This keeps the data flow clean and prevents your agent from processing stale database states during its runtime.

Define Postgres subsets with OpenAI Agents SDK

Use the `post_shape` tool to define and request specific data subsets from your Postgres instance. It handles the heavy lifting of snapshot creation, letting your agent focus on reasoning rather than plumbing. This MCP Server provides the interface for precise data retrieval. Your agent sends the query, and the sync engine ensures the response matches your defined shape requirements.

Native MCP Server integration

Register this MCP Server within your agent setup using the MCPServerStreamableHttp class. It is designed to work with your existing production pipeline without requiring custom adapters. Your agent auto-discovers these tools upon initialization. This means you spend less time configuring connections and more time refining the logic that powers your agent's decision-making.

Setup guide

Set up ElectricSQL (Sync Engine) MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all ElectricSQL (Sync Engine) tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives ElectricSQL (Sync Engine) tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate ElectricSQL (Sync Engine) tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="ElectricSQL (Sync Engine) Agent",
            instructions="You have access to ElectricSQL (Sync Engine) tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about ElectricSQL (Sync Engine) MCP in OpenAI Agents SDK

Install the server and pass the endpoint to the MCPServerStreamableHttp constructor. Once connected, your agent can call the exposed tools to trigger data synchronization.
Yes, it handles streaming updates from Postgres. Your agent receives the latest database changes as they happen, keeping the context window fresh.
You can define specific shapes through the tools. This restricts the data payload to only what your agent needs for its current task.
The server operates behind your own authentication proxy. It only touches the specific data shapes you define, keeping your core database records isolated.
The agent receives an error from the tool call. You should implement a retry loop in your agent logic to handle transient network hiccups.

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