How to Use the 3Scribe MCP in CrewAI

Q: How do I add the 3Scribe MCP Server to a CrewAI agent?

Pass your Vinkius gateway URL directly inside the Agent's mcps array parameter. The framework automatically configures the tools for that specific agent.

Q: Can I restrict which CrewAI agents can delete 3Scribe jobs?

Yes. Use the MCP Server HTTP wrapper with a toolfilter to only expose deletejob to your moderator agent, keeping your transcription records secure.

Q: What Python packages do I need for this setup?

Run pip install crewai "crewaitools" to support external tool connections over SSE and HTTP transports.

Run autonomous agent crews that transcribe, analyze, and purge media using CrewAI and 3Scribe.

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Connect 3Scribe MCP to CrewAI

Create your Vinkius account to connect 3Scribe 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 3Scribe with CrewAI

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Multi-agent transcription pipelines in CrewAI

One agent shouldn't do everything. Connect this MCP Server to CrewAI, and assign a Transcriber Agent to execute `create_job` while an Analyst Agent monitors status with `get_job` in the background. Once the text is ready, CrewAI's shared memory passes the transcript to a Writer Agent to draft summaries, keeping the roles completely separated.

Selective tool access for CrewAI agents

You don't want your research agents deleting files. Use `tool_filter` in your CrewAI setup to restrict `delete_job` access to your Moderator Agent. This limits destructive actions to specific roles, preventing autonomous agents from wiping transcription history by mistake.

Bulk media processing via CrewAI teams

Let your agents manage large queues without manual intervention. Your crew can use `list_jobs` to map out unprocessed media and systematically work through the backlog. The hierarchical manager coordinates the tasks, ensuring multiple agents don't run duplicate transcription jobs on the same files.

Setup guide

Set up 3Scribe 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 3Scribe tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="3Scribe Analyst",
    goal="Access and analyze 3Scribe data via MCP.",
    backstory="Expert analyst with direct 3Scribe access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent 3Scribe 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="3Scribe Analyst",
        goal="Access and analyze 3Scribe data via MCP.",
        backstory="Expert analyst with direct 3Scribe access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent 3Scribe 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 3Scribe. 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 3Scribe MCP in CrewAI

Pass your Vinkius gateway URL directly inside the Agent's `mcps` array parameter. The framework automatically configures the tools for that specific agent.

Yes. Use the MCP Server HTTP wrapper with a `tool_filter` to only expose `delete_job` to your moderator agent, keeping your transcription records secure.

Once the transcriber agent gets the text via the MCP client, CrewAI uses its shared memory context to pass that transcript to downstream analysis agents.

Run `pip install crewai "crewai[tools]"` to support external tool connections over SSE and HTTP transports.

All audio tracks and text transcripts are isolated in Vinkius's secure sandbox. CrewAI agents can only access files associated with your active session token.

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