ElectricSQL (Sync Engine) MCP Server for LlamaIndexGive LlamaIndex instant access to 2 tools to Get Shape and Post Shape

Name: ElectricSQL (Sync Engine)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ElectricSQL (Sync Engine) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The ElectricSQL (Sync Engine) MCP Server for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 2 tools to work with, ready to go from day one.

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python

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 ElectricSQL (Sync Engine). "
            "You have 2 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in ElectricSQL (Sync Engine)?"
    )
    print(response)

asyncio.run(main())

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About ElectricSQL (Sync Engine) MCP Server

Connect your ElectricSQL sync engine to any AI agent to stream data directly from Postgres into your conversation context. This server leverages the Electric HTTP Sync API to fetch 'shapes' of data efficiently.

LlamaIndex agents combine ElectricSQL (Sync Engine) tool responses with indexed documents for comprehensive, grounded answers. Connect 2 tools through 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

Real-time Sync — Fetch data from Postgres tables with support for initial snapshots and incremental updates using log offsets.
Shape Management — Define specific subsets of data (shapes) using SQL-like WHERE clauses and precise column selection.
Live Streaming — Enable long-polling or Server-Sent Events (SSE) to keep your agent updated as data changes in the database.
Complex Filtering — Use POST-based subset snapshots to handle complex WHERE clauses without hitting URL length limits.
Pagination & Limits — Efficiently browse large datasets with built-in limit, offset_rows, and order_by support.

The ElectricSQL (Sync Engine) MCP Server exposes 2 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 2 ElectricSQL (Sync Engine) tools available for LlamaIndex

When LlamaIndex connects to ElectricSQL (Sync Engine) through Vinkius, your AI agent gets direct access to every tool listed below — spanning postgres, real-time-sync, data-streaming, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get shape on ElectricSQL (Sync Engine)

Use offset=-1 for initial sync. Sync a shape of data out of Postgres via GET

post

Post shape on ElectricSQL (Sync Engine)

Sync a shape of data out of Postgres via POST (Subset Snapshots)

Connect ElectricSQL (Sync Engine) to LlamaIndex via MCP

Follow these steps to wire ElectricSQL (Sync Engine) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 2 tools from ElectricSQL (Sync Engine)

Why Use LlamaIndex with the ElectricSQL (Sync Engine) MCP Server

LlamaIndex provides unique advantages when paired with ElectricSQL (Sync Engine) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine ElectricSQL (Sync Engine) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain ElectricSQL (Sync Engine) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query ElectricSQL (Sync Engine), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what ElectricSQL (Sync Engine) tools were called, what data was returned, and how it influenced the final answer

ElectricSQL (Sync Engine) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the ElectricSQL (Sync Engine) MCP Server delivers measurable value.

Hybrid search: combine ElectricSQL (Sync Engine) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query ElectricSQL (Sync Engine) 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 ElectricSQL (Sync Engine) for fresh data

Analytical workflows: chain ElectricSQL (Sync Engine) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for ElectricSQL (Sync Engine) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with ElectricSQL (Sync Engine) immediately.

"Sync the 'public.items' table from the beginning using get_shape."

"Use post_shape to get the first 10 rows of 'orders' where status is 'pending', ordered by date."

"Start a live sync for the 'messages' table to watch for new entries."

Troubleshooting ElectricSQL (Sync Engine) MCP Server with LlamaIndex

Common issues when connecting ElectricSQL (Sync Engine) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ElectricSQL (Sync Engine) + LlamaIndex FAQ

Common questions about integrating ElectricSQL (Sync Engine) MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ElectricSQL (Sync Engine) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.