How to Use the Curator.io MCP in CrewAI
Deploy a specialized team of autonomous CrewAI agents to monitor, moderate, and optimize your Curator.io feeds.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Curator.io MCP to CrewAI
Create your Vinkius account to connect Curator.io 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.
Coordinate Social Media Crews with this MCP Server
Invoking `list_active_feeds` lets your Auditor Agent check feed health while a separate Moderator Agent handles content filtering. CrewAI lets you deploy a team of specialized agents that work together to manage your brand's online presence. These agents share memory and context, allowing them to pass critical data seamlessly. For example, when the Auditor Agent finds an active feed, the Moderator Agent immediately uses `list_moderation_rules` to verify its safety parameters.
Autonomous Ingestion Monitoring in CrewAI
Calling `list_feed_sources` allows a dedicated Ingestion Agent to map out every connected account and hashtag source. Your agents can run continuous sweeps across all external platforms using this MCP Server to ensure your content pipeline is healthy. If a source stops feeding content, the agent queries `get_feed_post_count` to measure the drop-off. It then passes this data to an Escalation Agent, who can notify your marketing team with specific details about the broken connection.
Autonomous Post Moderation and Search
Using `search_posts_in_feed` allows a Curation Agent to flag posts containing specific brand keywords or sensitive topics. Instead of manually reviewing thousands of social posts, you can let your crew handle the heavy lifting. Once flagged, the agent passes these posts to a Reviewer Agent that cross-references them with results from `list_feed_posts`. This collaborative approach ensures that only high-quality, relevant content makes it to your public-facing widgets.
Set up Curator.io 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 Curator.io tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Curator.io Analyst",
goal="Access and analyze Curator.io data via MCP.",
backstory="Expert analyst with direct Curator.io access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Curator.io 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="Curator.io Analyst",
goal="Access and analyze Curator.io data via MCP.",
backstory="Expert analyst with direct Curator.io access.",
tools=mcp_tools,
)
task = Task(
description="List recent Curator.io 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 Curator.io. 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
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Real-time monitoring
Live
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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
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Common questions about Curator.io MCP in CrewAI
Use it with your favorite AI tools
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