Vinkius

ElectricSQL MCP. Stream Live Postgres Data into Your AI Agent's Context

ElectricSQL Sync Engine MCP brings real-time data from Postgres directly to your AI client. It lets you fetch structured subsets of database information, track changes over time, and query live application data right within your chat window.

ElectricSQL MCP is compatible with Claude Claude
ElectricSQL MCP is compatible with ChatGPT ChatGPT
ElectricSQL MCP is compatible with Cursor Cursor
ElectricSQL MCP is compatible with Gemini Gemini
ElectricSQL MCP is compatible with Windsurf Windsurf
ElectricSQL MCP is compatible with VS Code VS Code
ElectricSQL MCP is compatible with JetBrains JetBrains
ElectricSQL MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Initial Data Snapshots

Fetch a complete, historical snapshot of a data table using an initial sync call.

Complex Subset Queries

Query specific groups of records—for example, only 'pending' orders in the last month—using advanced filtering methods.

Real-time Data Streaming

Keep your agent continuously updated as data changes in the underlying Postgres database via long-polling or SSE.

Waiting for input…

AI Agent
ElectricSQL

What AI agents can do with ElectricSQL (Sync Engine) with 2 Tools

These tools let you programmatically retrieve data from Postgres by fetching initial snapshots or submitting highly detailed queries for specific subsets of records.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using ElectricSQL (Sync Engine) MCP

Get Shape

Use this tool to pull an initial snapshot of data from Postgres using a standard GET request.

Post Shape

Send complex queries and sync subsets of data out of Postgres by submitting them via...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

ElectricSQL MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The ElectricSQL integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with ElectricSQL (Sync Engine), then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
ElectricSQL MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ElectricSQL. 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.

VINKIUS CLOUD

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on each call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Database state used to be hard to access for AI

Today, if your AI needs to know something—like the current inventory count or a user’s latest activity—you usually have to write dedicated API endpoints. That means building an endpoint just for 'user status,' another one for 'order history,' and then linking them all up so they don't time out when data changes.

With this MCP, you bypass that whole process. You connect your agent once, point it at the Postgres database, and the system handles the complexity of fetching, filtering, and streaming live data shapes directly into your chat context. Your agent just knows how to ask.

ElectricSQL Sync Engine MCP gives you real-time data insight

The manual steps that disappear are writing the complex backend plumbing and managing state across multiple services. You eliminate the need for dedicated 'status check' endpoints, simplifying your entire architecture.

Now, your AI agent can treat the database as a living source of truth. It doesn't just answer based on what it was trained on; it answers based on exactly what's happening right now.

What ElectricSQL MCP does for your AI

This MCP connects your AI agent straight into a Postgres database, letting it stream live data without needing complex backend setups. You can ask questions about specific tables or monitor system state in real-time. It handles initial data dumps—getting the whole picture at once—and then keeps you updated as records change, using efficient log offsets for incremental syncs.

Need to query a niche group of records? Use advanced filtering and subset snapshots, letting your agent handle complex 'WHERE' clauses that would normally break a URL. Because Vinkius hosts this MCP, connecting it is simple: link up once from any compatible client, and you immediately gain access to live database context for analysis or debugging.

Built · Hosted · Managed by Vinkius ElectricSQL MCP - Real-Time Postgres Data Sync for AI
Server ID 019e388f-b8d8-70dd-990e-603c981098be
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Frequently asked questions about ElectricSQL MCP

How does ElectricSQL Sync Engine MCP handle large datasets? +

It supports pagination and limits, allowing you to efficiently browse massive tables without overloading the system. This prevents errors related to dataset size.

Is this good for continuous monitoring? +

Yes. You can enable live streaming via long-polling or SSE, meaning your agent updates instantly whenever new rows are added to a table like 'messages'.

Do I need to write SQL code to use the MCP? +

No. While the underlying mechanism uses SQL concepts (shapes and WHERE clauses), you interact with it naturally by simply asking your agent questions about the data.

What is the difference between get_shape and post_shape? +

Use get_shape for initial, basic snapshots. Use post_shape when you need to send complex filtering parameters or detailed subsets of data that exceed simple GET request limits.

Can I sync multiple tables at once using ElectricSQL Sync Engine MCP? +

Yes, you can define and manage shapes across several different Postgres tables within the same agent workflow to get a holistic view of your application state.