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Vinkius

Curator.io MCP Server for CrewAI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Curator.io Specialist",
    goal="Help users interact with Curator.io effectively",
    backstory=(
        "You are an expert at leveraging Curator.io 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 Curator.io "
        "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)
Curator.io
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 Curator.io MCP Server

Integrate Curator.io, the modern social media aggregator, directly into your AI workflow. Manage your social feeds, monitor recent posts across multiple platforms, and audit your social media sources using natural language.

When paired with CrewAI, Curator.io becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Curator.io 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

  • Feed Management — List and retrieve detailed settings for all your aggregated social feeds.
  • Post Monitoring — Track recent posts within specific feeds and monitor their status and interaction details.
  • Source Discovery — List all social media sources (accounts, hashtags) associated with your feeds.
  • Moderation Oversight — Access active moderation and filtering rules to ensure consistent content display.

The Curator.io 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 Curator.io to CrewAI via MCP

Follow these steps to integrate the Curator.io MCP Server with CrewAI.

01

Install CrewAI

Run pip install crewai

02

Replace the token

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

03

Customize the agent

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

04

Run the crew

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

Why Use CrewAI with the Curator.io MCP Server

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

01

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

02

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

03

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

04

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

Curator.io + CrewAI Use Cases

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

01

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

02

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

03

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

04

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

Curator.io MCP Tools for CrewAI (10)

These 10 tools become available when you connect Curator.io to CrewAI via MCP:

01

get_account_details

Resolves usage limits and account identifiers. Interacts with the account and billing boundary. Retrieve metadata for your Curator.io account

02

get_feed_details

Resolves moderation settings, design configurations, and metadata. Interacts with the feed configuration boundary. Get detailed settings and metadata for a specific feed

03

get_feed_post_count

Resolves quantitative feed metrics. Touches the data aggregation and metrics boundary. Get the total number of posts currently in a feed

04

list_active_feeds

Resolves operational feed records. Touches the feed status management boundary. Quickly list only the feeds that are currently active

05

list_feed_posts

Resolves post content, timestamps, and source origin. Touches the content delivery and aggregation boundary. List recent social media posts within a specific feed

06

list_feed_sources

Resolves source types (Instagram, Twitter, etc.) and connection parameters. Touches the ingestion gateway boundary. List all social media sources (accounts, hashtags) for a feed

07

list_moderation_rules

Resolves keyword filters and exclusion patterns. Touches the content moderation logic boundary. List active moderation and filtering rules for a feed

08

list_social_connections

Resolves account identifiers and authentication states. Touches the OAuth and external API integration boundary. List connected social media accounts (Instagram, Twitter, etc.)

09

list_social_feeds

Resolves feed IDs, names, and current statuses. Interacts with the feed management system. List all social media feeds configured in Curator.io

10

search_posts_in_feed

Resolves matching post entities. Touches the indexed content search boundary. Search for specific social posts within a feed by keyword

Example Prompts for Curator.io in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Curator.io immediately.

01

"List all active social feeds in my account."

02

"Show me the last 5 posts from the 'Event Hashtag #Tech2024' feed."

03

"What are the social sources for my 'Company Instagram' feed?"

Troubleshooting Curator.io MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

Curator.io + CrewAI FAQ

Common questions about integrating Curator.io MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

Connect Curator.io to CrewAI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.