How to Use the HypeAuditor MCP in CrewAI

Deploy a specialized crew of autonomous agents to research and vet influencers using HypeAuditor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect HypeAuditor MCP to CrewAI

Create your Vinkius account to connect HypeAuditor 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.

GDPR Free for Subscribers

Setup HypeAuditor with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Specialized agent collaboration

Assign a researcher agent to run `search_influencers` while a separate analyst agent calls `get_influencer_report`. This crew architecture allows for complex tasks that require multiple steps of validation. Each agent focuses on its role. The researcher finds the candidates, and the analyst verifies the engagement metrics, creating a division of labor that scales.

Autonomous campaign monitoring

Set up a monitor agent to periodically run `get_account_info` and check for new reports. If an influencer meets your engagement threshold, the agent flags them for immediate action. This keeps your operations running 24/7. You define the criteria, and the crew handles the discovery and filtering without your input.

Flexible tool exposure

Limit your agents to specific tools like `list_languages` and `list_platforms` to prevent scope creep. You control exactly what each member of the crew can access via the MCP server configuration. This keeps your agents efficient. By restricting their toolset, you ensure they stay focused on the specific research task at hand.

Setup guide

Set up HypeAuditor 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 HypeAuditor tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent HypeAuditor 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 HypeAuditor. 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.

Connect HypeAuditor now

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 HypeAuditor MCP in CrewAI

Add the HypeAuditor MCP endpoint to your agent's configuration list. The framework handles the connection so your agents can call the tools directly.

Yes. CrewAI uses shared memory. Once the researcher agent fetches data via `search_influencers`, the analyst agent can access that information to generate a report.

The server operates in a zero-trust environment. HypeAuditor account details are never cached or shared outside the active session of your crew.

As many as you define in your crew. Just be mindful of your API rate limits; you can track them using `get_rate_limit` to avoid hitting your quota.

You can add a human-in-the-loop task to your crew. This forces the agent to pause and ask for your approval before finalizing an influencer selection.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript