ElectricSQL (Sync Engine) MCP Server for Google ADKGive Google ADK instant access to 2 tools to Get Shape and Post Shape
GDPR Free for SubscribersGoogle Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ElectricSQL (Sync Engine) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
Ask AI about this MCP Server for Google ADK
The ElectricSQL (Sync Engine) MCP Server for Google ADK is a standout in the Developer Tools category — giving your AI agent 2 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminifrom google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="electricsql_sync_engine_agent",
instruction=(
"You help users interact with ElectricSQL (Sync Engine) "
"using 2 available tools."
),
tools=[mcp_tools],
)
* 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 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.
Google ADK natively supports ElectricSQL (Sync Engine) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 2 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK
When Google ADK 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 shape on ElectricSQL (Sync Engine)
Use offset=-1 for initial sync. Sync a shape of data out of Postgres via GET
Post shape on ElectricSQL (Sync Engine)
Sync a shape of data out of Postgres via POST (Subset Snapshots)
Connect ElectricSQL (Sync Engine) to Google ADK via MCP
Follow these steps to wire ElectricSQL (Sync Engine) into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install Google ADK
pip install google-adkReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenCreate the agent
Explore tools
Why Use Google ADK with the ElectricSQL (Sync Engine) MCP Server
Google ADK provides unique advantages when paired with ElectricSQL (Sync Engine) through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with ElectricSQL (Sync Engine)
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine ElectricSQL (Sync Engine) tools with BigQuery, Vertex AI, and Cloud Functions
ElectricSQL (Sync Engine) + Google ADK Use Cases
Practical scenarios where Google ADK combined with the ElectricSQL (Sync Engine) MCP Server delivers measurable value.
Enterprise data agents: ADK agents query ElectricSQL (Sync Engine) and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine ElectricSQL (Sync Engine) tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query ElectricSQL (Sync Engine) regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ElectricSQL (Sync Engine)
Example Prompts for ElectricSQL (Sync Engine) in Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting ElectricSQL (Sync Engine) to Google ADK through Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkElectricSQL (Sync Engine) + Google ADK FAQ
Common questions about integrating ElectricSQL (Sync Engine) MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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