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 CrewAI 10 tools — connect in under 2 minutes

Name: Metricool
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Metricool through Vinkius, pass the Edge URL in the `mcps` parameter and every Metricool tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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 crewai import Agent, Task, Crew

agent = Agent(
    role="Metricool Specialist",
    goal="Help users interact with Metricool effectively",
    backstory=(
        "You are an expert at leveraging Metricool tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Metricool "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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.

When paired with CrewAI, Metricool becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Metricool tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Metricool MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Metricool

Why Use CrewAI with the Metricool MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Metricool through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Metricool + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Metricool for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Metricool, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Metricool tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Metricool against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Metricool MCP Tools for CrewAI (10)

These 10 tools become available when you connect Metricool to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Metricool + CrewAI FAQ

Common questions about integrating Metricool MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.