How to Use the Metricool MCP in Google ADK

Q: How do I initialize the Metricool MCP Server in Google ADK?

You configure the McpToolset with the Vinkius HTTP endpoint URL. This exposes the 10 social analytics and planning tools directly to your Gemini agent.

Q: Can Google ADK filter which Metricool tools are exposed?

Yes, you can use the optional tool names filter in McpToolset to restrict access. For example, you can expose only getunifiedsummary while hiding scheduling tools.

Feed live Metricool social analytics directly into Google ADK pipelines for enterprise-grade Gemini reasoning.

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Connect Metricool MCP to Google ADK

Create your Vinkius account to connect Metricool to Google ADK 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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Setup Metricool with Google ADK

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Load Social Data into Google ADK Context

The `get_unified_summary` tool extracts multi-channel performance data directly into Google ADK pipelines for Gemini reasoning. This lets your Google ADK agent analyze months of Metricool marketing history in a single prompt.

Map Metricool MCP Server Data to BigQuery

The `list_published_posts` tool retrieves historical social updates to build structured Metricool datasets inside Google ADK. Your Google ADK agent reads the post logs and structures them for immediate BigQuery insertion.

Run Multi-Platform Analytics Audits

The `get_facebook_analytics` tool pulls platform-specific metrics alongside `get_instagram_analytics` into your Google ADK runtime. Gemini evaluates these distinct Metricool feeds to detect performance anomalies across your brand footprint.

Setup guide

Set up Metricool MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Metricool tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Metricool_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Metricool tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Metricool MCP in Google ADK

You configure the `McpToolset` with the Vinkius HTTP endpoint URL. This exposes the 10 social analytics and planning tools directly to your Gemini agent.

Yes, you can use the optional tool names filter in `McpToolset` to restrict access. For example, you can expose only `get_unified_summary` while hiding scheduling tools.

Gemini's long-context window easily ingests the detailed JSON arrays returned by `get_linkedin_analytics`. The model parses the metric structures without hitting token limits.

No, Vinkius handles the authorization handshake. Your Google ADK client only needs your single Vinkius connection token to access all 10 tools.

The integration runs inside a zero-trust, ephemeral MCP sandbox. Your ad metrics and social profiles are never written to disk, ensuring complete transport privacy.

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