How to Use the Ebby MCP in CrewAI

Deploy specialized agent crews to manage your Ebby transcriptions with role-based collaboration.

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Connect Ebby MCP to CrewAI

Create your Vinkius account to connect Ebby 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 Ebby with CrewAI

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Role-based transcription management

Assign a dedicated agent to track your queue. Using `list_in_progress_transcriptions`, your monitor agent can report on status without bothering your primary researchers. This keeps your crew organized. While one agent handles the heavy lifting of fetching text, the other manages the metadata and status updates.

Collaborative text analysis with CrewAI

Have one agent retrieve content with `get_transcription_text` and pass the raw string to a second agent for summarization. The agents share memory to complete the task. This avoids duplicated work. Your research agent receives the final report while the worker agent handles the interaction with the API.

Automated search and retrieval

Find specific files across your history using `search_transcriptions_by_name`. Your research agent can trigger this whenever it needs historical context. It makes your crew feel like they have a full archive at their disposal. No more manual searching through long lists of audio files.

Setup guide

Set up Ebby 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 Ebby tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL into your Agent configuration. Once added, your agents can call any of the ten tools during their task execution.

Yes. Use a tool filter in your agent setup to restrict access. This ensures your research agent only sees what it needs to perform its job.

Yes. If one agent retrieves a file, the result is stored in the crew's shared memory. Other agents can then reference that text without calling the API again.

Define a custom task flow that checks the output of your tool calls. If an agent fails to get the text, trigger a secondary task to verify the status.

The server uses ephemeral sessions tied to your token. Your transcription text is only fetched when an agent explicitly calls for it, ensuring your data isn't exposed to unauthorized processes.

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