How to Use the Ayrshare MCP in CrewAI

Q: How do I assign Ayrshare tools to a CrewAI agent?

Pass the Vinkius endpoint URL directly in the agent's mcps list. CrewAI automatically discovers the tools and makes them available to that specific agent.

Q: Can I restrict which Ayrshare tools a CrewAI agent can use?

Yes, you can use MCPServerHTTP with a toolfilter to limit tool exposure. This prevents a writer agent from accessing destructive tools like deleteprofile.

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Connect Ayrshare MCP to CrewAI

Create your Vinkius account to connect Ayrshare 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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Setup Ayrshare with CrewAI

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Perplexity

Multi-agent social campaigns with CrewAI

The `create_post` tool allows your execution agent to publish finalized content immediately. While one agent drafts the copy, another agent uses this tool to push the update to all connected platforms. To keep the queue balanced, a planner agent uses `schedule_post` instead. This splits the writing and scheduling tasks across specialized crew members for cleaner operation.

Autonomous performance monitoring via MCP Server

The `get_post_analytics` tool feeds live engagement metrics back to your analyst agent. This agent evaluates the success of individual posts without human intervention. Meanwhile, a supervisor agent calls `get_social_analytics` to track high-level profile trends. Your crew then adjusts future content strategies based on these automated reports.

Automated queue cleanup and profile audits

The `list_history` tool lets your audit agent review past performance and post logs. If the agent detects duplicate content, it flags the issue for resolution. Our agent also checks active queues using `list_auto_schedules`. Should a scheduled slot conflict with a breaking news event, the agent uses `delete_auto_schedule` to clear the queue.

Setup guide

Set up Ayrshare MCP in CrewAI

Prerequisites

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

1

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

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

crew.py

from crewai import Agent, Task, Crew

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

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

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Ayrshare Analyst",
        goal="Access and analyze Ayrshare data via MCP.",
        backstory="Expert analyst with direct Ayrshare access.",
        tools=mcp_tools,
    )

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ayrshare. 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.

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Common questions about Ayrshare MCP in CrewAI

Pass the Vinkius endpoint URL directly in the agent's `mcps` list. CrewAI automatically discovers the tools and makes them available to that specific agent.

Yes, you can expose the server to your entire crew. Your researcher agent can read history while your publisher agent schedules posts simultaneously.

CrewAI manages tool execution sequentially or hierarchically. The framework coordinates agent actions to prevent overlapping calls that might trigger rate limits.

Yes, you can use `MCPServerHTTP` with a `tool_filter` to limit tool exposure. This prevents a writer agent from accessing destructive tools like `delete_profile`.

Yes, all data transmission between CrewAI and Ayrshare is encrypted via HTTPS. Vinkius runs the server inside an isolated, ephemeral V8 sandbox to ensure your post history and profile settings remain private.

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