How to Use the Hiro.fm MCP in CrewAI

Q: How do I configure Hiro.fm for my CrewAI agents?

Run pip install crewai and pass the endpoint URL directly into your agent's mcps array. The agent will automatically discover the available functions.

Q: Can I restrict which Hiro.fm tools a CrewAI agent can use?

Yes. Import the HTTP class from crewai.mcp and apply a toolfilter. This prevents a research agent from accidentally deleting a listener.

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Connect Hiro.fm MCP to CrewAI

Create your Vinkius account to connect Hiro.fm 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 Hiro.fm with CrewAI

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Perplexity

CrewAI podcast management teams

`list_shows` and `get_show` allow your research agent to audit your entire audio catalog. The agent pulls down the current episodes through this MCP Server, reads the metadata, and passes the context to a secondary marketing agent. That marketing agent can then draft promotional emails based on the actual content in the feed. The multi-agent setup means one script handles the fetching while another handles the analysis, all sharing memory.

Autonomous subscriber auditing

`list_contacts` pulls your entire listener database for a moderator agent to review. The agent cross-references those contacts against your external CRM records to find discrepancies. When it finds a user who canceled their payment, it hands the task to an execution agent. That agent immediately runs the tool `revoke_access` to lock the user out of the private feed.

Hierarchical audio publishing

`add_audio` pushes new MP3s to your feed after a manager agent approves the task. A worker agent formats the file path and metadata, then submits it up the chain. The manager verifies the details before executing the final tool call. Using the `MCPServerHTTP` class with a `tool_filter`, you restrict the worker to read-only tools and only give the manager write access.

Setup guide

Set up Hiro.fm 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 Hiro.fm tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Hiro.fm 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 Hiro.fm. 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 Hiro.fm MCP in CrewAI

Run `pip install crewai` and pass the endpoint URL directly into your agent's `mcps` array. The agent will automatically discover the available functions.

Yes. Import the HTTP class from `crewai.mcp` and apply a `tool_filter`. This prevents a research agent from accidentally deleting a listener.

The framework supports stdio, SSE, and Streamable HTTP transports natively. It routes the file payload through whichever protocol your server configuration dictates.

Your crew shares context, but agents execute tasks sequentially or hierarchically. One agent finishes fetching the show list before the next agent starts processing the contacts.

The system processes MP3 file paths and listener tags in isolated memory blocks. It authenticates via a single endpoint token and drops all payload data the moment the connection closes.

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