How to Use the Loomly MCP in CrewAI
Deploy specialized teams of CrewAI agents to coordinate, write, and audit your Loomly social media calendars.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Loomly MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Loomly tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Loomly Analyst",
goal="Access and analyze Loomly data via MCP.",
backstory="Expert analyst with direct Loomly access.",
tools=mcp_tools,
)
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) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Loomly. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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
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