How do I find my Metricool Access Token?

Log in to Metricool, go to Account Settings > API, and you can generate or copy your Access Token there.

Can I see metrics for multiple platforms?

Yes, Metricool supports Instagram, Facebook, Twitter, LinkedIn, and more. Use the specific tool for each platform.

Is my social media data secure?

Absolutely. Your token is encrypted at rest and injected securely at runtime.

Metricool MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: Metricool
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Metricool as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from 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="metricool_agent",
    instruction=(
        "You help users interact with Metricool "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Metricool MCP Server

Connect your Metricool account to any AI agent and take full control of your social media performance and planning through natural conversation.

Google ADK natively supports Metricool as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Social Analytics — Retrieve detailed metrics for Instagram, Facebook, Twitter, and LinkedIn profiles in real-time
Unified Summary — Access high-level cross-channel performance reports to understand your total digital reach
Content Planning — List and inspect your social media planner to stay ahead of upcoming scheduled posts
Ads Performance — Monitor spend and conversion data for social advertising platforms directly from your agent
Profile Management — Enumerate all connected brands and social accounts linked to your workspace

The Metricool MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Metricool to Google ADK via MCP

Follow these steps to integrate the Metricool MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from Metricool via MCP

Why Use Google ADK with the Metricool MCP Server

Google ADK provides unique advantages when paired with Metricool 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 Metricool

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 Metricool tools with BigQuery, Vertex AI, and Cloud Functions

Metricool + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Metricool MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Metricool and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Metricool tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Metricool regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Metricool

Metricool MCP Tools for Google ADK (10)

These 10 tools become available when you connect Metricool to Google ADK via MCP:

get_ads_performance

Get performance for ads

get_facebook_analytics

Get Facebook analytics

get_instagram_analytics

Get Instagram analytics

get_linkedin_analytics

Get LinkedIn analytics

get_profile_details

Get details for a specific profile

get_social_planner

Get scheduled posts planner

get_twitter_analytics

Get Twitter analytics

get_unified_summary

Get unified cross-channel summary

list_metricool_profiles

List all connected social profiles

list_published_posts

List recently published posts

Example Prompts for Metricool in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Metricool immediately.

"Show my Instagram analytics for the last 30 days."

"What posts are scheduled in my planner?"

"Show a summary of my performance across all channels."

Troubleshooting Metricool MCP Server with Google ADK

Common issues when connecting Metricool to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Metricool + Google ADK FAQ

Common questions about integrating Metricool MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.