Can my agent generate speech using a specific voice ID?

Yes. Use the 'text_to_speech' tool. Provide the 'voice_id' and the text script. The agent will fire the inference pipeline and return the generated audio content natively.

How do I monitor my character quota via chat?

Use the 'get_subscription' tool. Your agent will validate the API logic querying your character usage (e.g., 100k limits) and subscription status to prevent system overruns.

Can I translate a video using the dubbing tool through the agent?

Absolutely. Use the 'create_dubbing' tool. Provide a JSON payload with the 'source_url' and 'target_lang'. The agent will initiate the massive video translation queue and track the rendering job for you.

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

Name: ElevenLabs
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to ElevenLabs through the Vinkius — pass the Edge URL in the `mcps` parameter and every ElevenLabs 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="ElevenLabs Specialist",
    goal="Help users interact with ElevenLabs effectively",
    backstory=(
        "You are an expert at leveraging ElevenLabs 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 ElevenLabs "
        "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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Ed25519Audit chain

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ElevenLabs MCP Server

Connect your ElevenLabs account to any AI agent and take full control of your AI audio generation and lifelike speech synthesis through natural conversation.

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

What you can do

Speech Synthesis Orchestration — Extract explicit REST maps utilizing text-to-speech endpoints to fire heavy inference pipelines streaming perfect conversational intonation blocks
Voice Library Navigation — Identify bounded records inside the ElevenLabs platform and pull globally curated standard and cloned voice libraries natively
Voice Tuning — Perform structural extraction of properties driving human likeness, dissecting precisely Stability and Similarity bounds for active account logic
Audio Dubbing — Initiate massive video and audio translation queues injecting cross-lingual voice models to automate multi-language content production
Generation Auditing — Enumerate explicitly attached structured rules exporting active history and mapping literal historic generations across time limits
Quota Oversight — Validate API logic querying strict character quotas and subscription limits to monitor character consumption and block system overruns
Vault Security — Identify precise active arrays spanning native gateway auth to retrieve explicit cloud generation logs and manage generated blobs securely

The ElevenLabs 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 ElevenLabs to CrewAI via MCP

Follow these steps to integrate the ElevenLabs 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 ElevenLabs

Why Use CrewAI with the ElevenLabs MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ElevenLabs 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 the 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

ElevenLabs + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries ElevenLabs 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 ElevenLabs, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ElevenLabs 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 ElevenLabs against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

ElevenLabs MCP Tools for CrewAI (10)

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

get_history_item

Get history item details

get_subscription

Get subscription details

get_user_info

Get user profile info

get_voice

Get voice details

list_history

List generation history

list_models

List AI speech models

list_projects

List dubbing/voice projects

list_pronunciation_dictionaries

List pronunciation dictionaries

list_voices

List all available voices

text_to_speech

Returns audio metadata. Supports 29+ languages. Convert text to speech audio

Example Prompts for ElevenLabs in CrewAI

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

"Generate audio for: 'Hello, this is a lifelike AI voice.' using voice 'abc-123'"

"Show me my remaining character quota"

"Dub this video into Spanish: https://example.com/video.mp4"

Troubleshooting ElevenLabs MCP Server with CrewAI

Common issues when connecting ElevenLabs 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

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

ElevenLabs + CrewAI FAQ

Common questions about integrating ElevenLabs 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.