How do I get an Ebby API Key?

Log in to your Ebby account, navigate to **Settings > API**, and you can generate or retrieve your unique API Key from there. Ensure you have available minutes in your balance.

What export formats are supported?

Ebby supports exporting transcriptions in various formats including Plain Text (txt), Subtitles (srt, vtt), and Microsoft Word (docx). You can specify the format using the get_transcription_text tool.

Can the agent upload new audio files?

This integration currently focuses on listing, auditing, and retrieving text for existing transcriptions. Uploading and starting new transcription jobs should be managed via the Ebby web interface.

Ebby MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Ebby
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Ebby through Vinkius, pass the Edge URL in the `mcps` parameter and every Ebby tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Ebby Specialist",
    goal="Help users interact with Ebby effectively",
    backstory=(
        "You are an expert at leveraging Ebby tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Ebby "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Ebby MCP Server

Integrate Ebby, the powerful automatic transcription and subtitling platform, directly into your AI workflow. Manage your audio and video transcriptions, track real-time processing statuses and durations, retrieve transcribed text in various formats (TXT, SRT, VTT), and oversee speaker identification using natural language.

When paired with CrewAI, Ebby becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Ebby tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Transcription Oversight — List and retrieve detailed information and status for all your audio and video transcription projects.
Content Intelligence — Access the actual transcribed text content and identified speaker labels directly via chat.
Processing Monitoring — Track real-time processing progress, file durations, and language settings for your media library.
Account Auditing — Retrieve high-level summaries of transcription activity, remaining minutes, and organizational metadata instantly.

The Ebby MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Ebby to CrewAI via MCP

Follow these steps to integrate the Ebby MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Ebby

Why Use CrewAI with the Ebby MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Ebby through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Ebby + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Ebby MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Ebby for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Ebby, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Ebby tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Ebby against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Ebby MCP Tools for CrewAI (10)

These 10 tools become available when you connect Ebby to CrewAI via MCP:

get_ebby_account_metadata

Retrieve metadata and usage limits for your Ebby account

get_transcription_details

Get detailed settings and status for a specific transcription

get_transcription_text

Retrieve the transcribed text content for a specific file

list_audio_transcriptions

List all transcriptions created in your Ebby account

list_in_progress_transcriptions

Identify transcriptions that are currently in the processing queue

list_latest_transcriptions

Identify the most recently created or updated transcriptions

list_successfully_processed_audio

Identify transcriptions that have finished processing and are ready for export

list_transcription_speakers

List all speakers identified in a specific transcription

quick_transcription_volume_audit

Retrieve a high-level summary of transcription activity and processing rates

search_transcriptions_by_name

Search for transcriptions using a filename or title keyword

Example Prompts for Ebby in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Ebby immediately.

"List all completed transcriptions."

"Show me the transcribed text for 'Interview_John_Doe.mp3' in SRT format."

"Check how many minutes are remaining in my Ebby account."

Troubleshooting Ebby MCP Server with CrewAI

Common issues when connecting Ebby to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Ebby + CrewAI FAQ

Common questions about integrating Ebby MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.