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How to Use the AssemblyAI MCP in CrewAI

Deploy a crew of specialized AI agents to transcribe, analyze, and audit audio files using CrewAI and AssemblyAI.

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CrewAI

Connect AssemblyAI MCP to CrewAI

Create your Vinkius account to connect AssemblyAI 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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Delegate audio tasks across a specialized CrewAI team

Instead of one agent doing everything, you assign specific AssemblyAI tools to specialized CrewAI team members. Your Transcriber Agent uses `transcribe_audio` to kick off the job, while your Auditor Agent polls `get_transcript` to verify the output. This division of labor keeps your CrewAI agents focused on single transcription tasks. The Auditor doesn't need to know how to upload files; it only cares about analyzing the AssemblyAI text once the Transcriber finishes its job.

Run CrewAI audits on AssemblyAI transcript sentences

Analyzing a massive wall of AssemblyAI text is difficult for a single CrewAI agent. By using `get_transcript_sentences`, your CrewAI supervisor can split the transcript and assign different sentence blocks to multiple Analyst Agents. One CrewAI agent can look for compliance violations, another can flag customer sentiment, and a third can extract action items from the AssemblyAI sentences. The CrewAI agents compile their findings into a single report, saving time and tokens.

Enforce CrewAI data hygiene policies on AssemblyAI

This MCP Server allows you to task a specialized Compliance Agent with running `delete_transcript` the moment the final report is generated. Because CrewAI supports sequential execution, this cleanup step is guaranteed to run only after all other agents have successfully completed their analysis and saved their outputs. Your AssemblyAI workspace remains clutter-free without manual intervention.

Setup guide

Set up AssemblyAI MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

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

  2. 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. 3

    Kick off your crew

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

crew.py
from crewai import Agent, Task, Crew

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

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

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

Why Choose Vinkius

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Built-in savings

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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 AssemblyAI MCP in CrewAI

You can pass your Vinkius endpoint URL directly to the agent's MCP configuration list. This gives that specific CrewAI agent access to tools like `transcribe_audio` without exposing them to the rest of the crew.
Yes, you use the MCP server configuration and a `tool_filter` to restrict access. You can allow your CrewAI Compliance Agent to use `delete_transcript` while preventing your Analyst Agents from touching it.
Your Transcriber Agent starts the job and passes the ID to your Auditor Agent. The Auditor then uses `get_transcript` to poll for completion, allowing the CrewAI team to work asynchronously.
Yes, your CrewAI agents can call `get_transcript_paragraphs` to break down long recordings. This allows them to analyze the AssemblyAI conversation structure and identify speaker transitions more accurately.
All CrewAI transcription requests and text outputs are routed through secure, short-lived V8 isolates. Your sensitive media files and text records are never stored on Vinkius, maintaining direct, encrypted transit to AssemblyAI.

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