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How to Use the Loomly MCP in CrewAI

Deploy specialized teams of CrewAI agents to coordinate, write, and audit your Loomly social media calendars.

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CrewAI

Connect Loomly MCP to CrewAI

Create your Vinkius account to connect Loomly to CrewAI 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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Multi-agent social media coordination

The `list_calendars` tool gives your CrewAI agent teams immediate visibility into your active social channels. You can assign a researcher agent to analyze trends, while a writer agent uses `create_new_post` to draft matching content for specific calendars. A separate editor agent can then verify the drafts against your brand voice. This collaborative setup mimics a real marketing agency, running entirely on autonomous agent teams.

Autonomous comment moderation via MCP Server tools

The `list_post_interactions` tool allows a dedicated moderator agent to monitor your published posts for customer feedback. When a comment requires escalation, the agent flags it and hands it off to a customer service agent with full context. The team uses `get_post_details` to fetch the original post copy so the response matches the context. This setup keeps your social channels active and monitored 24/7 without burning out your human team.

Automated calendar audits and reporting

The `list_calendar_posts` tool lets an analyst agent pull entire monthly schedules to verify posting frequency and channel distribution. The agent compiles these metrics into structured reports, comparing scheduled posts against your library assets. By calling `list_media_assets`, the agent flags unused creative files that your team can reuse in future campaigns. This automated inventory management keeps your content pipeline fresh and efficient.

Setup guide

Set up Loomly MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 2

    Add the MCP URL to your agent

    Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.

  3. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Loomly tools as needed.

crew.py
from crewai import Agent, Task, Crew

agent = Agent(
    role="Loomly Analyst",
    goal="Access and analyze Loomly data via MCP.",
    backstory="Expert analyst with direct Loomly access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Loomly transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Loomly MCP in CrewAI

Install the framework using `pip install crewai "crewai[tools]"`. You can pass your Vinkius HTTP URL directly into the agent's `mcps` list, or use `MCPServerHTTP` for advanced MCP configurations.
Yes, use the `tool_filter` option with `MCPServerHTTP` to restrict tool access. For example, you can give your writer agent access to `create_new_post` while limiting your analyst agent to `list_calendar_posts`.
Yes, the integration supports stdio, SSE, and Streamable HTTP transports. You can choose the connection method that best fits your local development or production environment.
Agents share data through CrewAI's built-in memory system. When one agent runs `get_post_details`, the resulting metadata is stored in shared memory for other agents to use in their tasks.
Yes. Vinkius executes all tool interactions in zero-trust, ephemeral containers that discard all state immediately. Your Loomly account credentials, library assets, and user profiles are completely isolated and never cached.

Start using the Loomly MCP today

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