• DATA
  • CONTEXT
  • LOGIC
  • HUMAN

How to query complex postgres subsets with your AI

Connect your database once. From then on, your AI pulls only the specific rows and columns it needs to answer your questions.

Ask AI about this page

Short answer

How can I give my AI specific Postgres data without dumping the whole table?

You use ElectricSQL to pull filtered snapshots of your tables directly into your AI's context. This ensures your agent only sees the relevant rows and columns for the task. You'll see how the filtering and shaping work below.

Where your data lands.

The outcomes of your queries.

The AI uses these results to turn raw database rows into useful context.

DATA

Filtered snapshots

The AI pulls specific subsets of your tables. You get exactly the data requested without the noise of the full database.

CONTEXT

Cleaned table shapes

The AI reshapes the data to match your prompt. This keeps the context window lean and focused on the task.

LOGIC

SQL-like filtering

Your AI applies filters to grab only the rows that matter. It acts as a bridge between your natural language and your SQL schema.

HUMAN

Manual review

The AI identifies data gaps or conflicting rows. You decide if the filtered subset is sufficient for the final answer.

The workflow

What your AI does when the data arrives.

The AI handles the heavy lifting of translating your intent into precise database queries.

  1. Identify the target

    Your AI looks at your request and determines which tables and columns are required for the answer.

    post_shape

  2. Apply filters

    The agent applies specific constraints to the query to narrow down the dataset to a subset.

    post_shape

  3. Shape the output

    The AI structures the resulting rows into a format that fits perfectly into the current conversation.

    post_shape

  4. Verify the subset

    The AI checks the retrieved data against your original question to ensure the filter was accurate.

    post_shape

Try it

Copy these to start.

Use these prompts to begin interacting with your database.

Starting points

These are opening lines. Swap out the table names and column names for your actual Postgres schema.

ElectricSQL Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_oHJ3qu09kCH5uxqL3iEMeyWmY3KKUyxH9z2Dq8V7/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — ElectricSQL capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "electricsql-sync-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_oHJ3qu09kCH5uxqL3iEMeyWmY3KKUyxH9z2Dq8V7/mcp"
    }
  }
}
Copy into chat04

  • Show me the last 5 orders from the 'orders' table where the status is 'shipped'.

  • Get the email addresses for all users in the 'customers' table who joined in January.

  • List the product names and prices from the 'inventory' table for items with stock under 10.

  • Summarize the recent activity in the 'logs' table for user_id 5502.

  • Claude
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  • JetBrains
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Start here

Connect ElectricSQL once, then ask.

Click the link to link your database. Your credentials stay encrypted, and you can start querying immediately.

Connect ElectricSQL to your AI

FAQ

How this task behaves.

  • 01

    Can the AI change or delete data in my Postgres database?

    No. This Connector is read-only. It only pulls snapshots of data into your AI's context.

  • 02

    Does the AI see my entire database at once?

    No. The AI only sees the specific subsets and columns you request through the filtering process.

  • 03

    How does the AI know which columns to pull?

    It uses the schema information to map your natural language requests to the correct table structures.

  • 04

    Can I use this to run complex JOIN queries?

    Yes. You can ask for data that spans multiple tables, and the AI handles the logic to fetch the combined subset.

  • 05

    Who manages my database credentials?

    Vinkius manages the connection and keeps your credentials encrypted. Your AI client never sees your raw database password.

  • More questions about ElectricSQL? The Connector page answers them. See everything the ElectricSQL Connector can do

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