How to Use the Hiro.fm MCP in LangChain

Q: How do I pass Hiro.fm contact data between LangChain steps?

Use the output of createcontact as the direct input for your next LangChain chain link. The framework passes the unique contact ID into grantaccess without needing manual parsing.

Q: Can I track Hiro.fm MCP Server tool latency inside LangChain using LangSmith?

Yes, every call to addaudio or listshows is traced automatically in your LangSmith dashboard. You will see exact execution times and token usage for every Hiro.fm tool execution.

Q: How does the Hiro.fm MCP Server protect listener email addresses in LangChain?

The server processes createcontact payloads containing listener emails inside a secure V8 isolate sandbox. No email data or private audio metadata is stored on Vinkius servers, keeping your LangChain customer records isolated and secure.

Run multi-step audio distribution workflows in your LangChain pipelines using the Hiro.fm MCP Server.

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Connect Hiro.fm MCP to LangChain

Create your Vinkius account to connect Hiro.fm to LangChain 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 LangChain

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Claude

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Onboard listeners with LangChain chains

Use `create_contact` to register a new listener, then pass that output directly into `grant_access` using a LangChain chain. Your LangChain agent handles this sequence of Hiro.fm tools in a single execution loop without manual intervention. If a subscriber cancels, your LangChain chain automatically triggers `revoke_access` to update their Hiro.fm status. You can track the performance and latency of these multi-step Hiro.fm MCP operations using LangSmith tracing.

Publish episodes using ReAct agents

Use `list_shows` to find the target feed before calling `add_audio` to upload new MP3 files via your LangChain agent. Your LangChain agent decides the correct execution order of these Hiro.fm tools based on the audio metadata it extracts. You can combine this Hiro.fm MCP Server integration with other LangChain tools to pull transcripts from databases or draft show notes before publishing. Every Hiro.fm tool call gets logged with exact token usage in LangSmith so you can audit your audio pipeline's operational costs.

Segment audiences via LangChain tools

Use `list_tags` to fetch your current listener segments and let your LangChain agent assign them to specific private feeds. This setup lets you run targeted audio campaigns by matching Hiro.fm contact tags with specific show IDs inside your LangChain graph. The LangChain agent calls `list_contacts` to find matches, then executes the necessary access updates on your Hiro.fm account. Because LangChain supports multi-server aggregation, you can run this Hiro.fm audio workflow alongside your email marketing tools in one unified graph.

Setup guide

Set up Hiro.fm MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Hiro.fm tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "hirofm-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Hiro.fm transactions"
    })
    print(result["messages"][-1].content)

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 LangChain

Use the output of `create_contact` as the direct input for your next LangChain chain link. The framework passes the unique contact ID into `grant_access` without needing manual parsing.

Yes, every call to `add_audio` or `list_shows` is traced automatically in your LangSmith dashboard. You will see exact execution times and token usage for every Hiro.fm tool execution.

You should configure your LangChain runnable with exponential backoff retry logic. This prevents your agent from hitting Hiro.fm API limits when pulling large listener lists during high-volume launches.

Your LangChain agent analyzes incoming user status data and decides whether to invoke `revoke_access` or keep the contact active. You write the decision prompt, and the agent executes the correct Hiro.fm tool based on the customer's subscription state.

The server processes `create_contact` payloads containing listener emails inside a secure V8 isolate sandbox. No email data or private audio metadata is stored on Vinkius servers, keeping your LangChain customer records isolated and secure.

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