How to Use the Aspire MCP in CrewAI

Deploy autonomous influencer research teams in CrewAI using the Aspire MCP server.

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Connect Aspire MCP to CrewAI

Create your Vinkius account to connect Aspire 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 Aspire with CrewAI

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Coordinate creator research in CrewAI

Assign a researcher agent to `list_posts` and `get_member` tools. It gathers data while your analyst agent summarizes the findings for you. This setup mimics a professional agency team. You control the roles, and the agents handle the coordination via shared memory.

Automate campaign oversight in CrewAI

Set a monitor agent to watch for new entries from `list_projects`. It flags anomalies and prompts your moderator agent to update campaign settings. Your operations run without constant manual input. The agents follow the hierarchy you define to ensure projects stay on track.

Process influencer content via CrewAI

Use `get_post` to pull performance data into your team's context. Your agents compare these metrics against your internal benchmarks. This turns raw data into actionable insights for your team. You see the results of their collaboration in your logs.

Setup guide

Set up Aspire 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 Aspire tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Aspire 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="Aspire Analyst",
        goal="Access and analyze Aspire data via MCP.",
        backstory="Expert analyst with direct Aspire access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Aspire 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 Aspire. 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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Common questions about Aspire MCP in CrewAI

Pass the server URL to the MCP parameter in your agent definition. CrewAI handles the tool binding so your agents can call them immediately.

Yes, you designate specific agents to manage your campaigns. They will perform the research and report back based on your instructions.

The server supports the standard MCP interface, which fits into any team structure. You can limit tool access to specific agents for better control.

We enforce strict isolation between agent sessions. Your influencer campaign records never leak between different teams or projects.

Your influencer engagement metrics and project notes remain strictly within your environment. We provide a secure pipe and nothing more.

Use it with your favorite AI tools

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