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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up AssemblyAI MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke AssemblyAI tools as needed.
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) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="AssemblyAI Analyst",
goal="Access and analyze AssemblyAI data via MCP.",
backstory="Expert analyst with direct AssemblyAI access.",
tools=mcp_tools,
)
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) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AssemblyAI. 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.
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 AssemblyAI MCP in CrewAI
Use it with your favorite AI tools
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