How do I find my CAMB.AI API Key?

Log in to your account, navigate to the **Studio dashboard**, and go to the **Settings** or **API** tab to generate a new key.

Can I use my own voice via AI?

Yes! Use the `create_voice_clone` tool to upload a sample audio file. Once processed, you can use the resulting ID to generate speech with your voice.

How do I track a dubbing task?

Use the `get_job_status` tool and provide the job ID. Your agent will return the high-fidelity progress percentage and final results.

INSTANT PLUG AND PLAY

CAMB.AI MCP Server for CrewAIGive CrewAI instant access to 10 tools to Create Dubbing, Create Tts, Create Voice Clone, and more

Name: CAMB.AI
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 10 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

Open in ChatGPT Open in Claude Open in Perplexity

The CAMB.AI app connector for CrewAI is a standout in the Artificial Intelligence category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="CAMB.AI Specialist",
    goal="Help users interact with CAMB.AI effectively",
    backstory=(
        "You are an expert at leveraging CAMB.AI 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 CAMB.AI "
        "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 CAMB.AI MCP Server

Connect your CAMB.AI account to any AI agent and take full control of your high-fidelity audio localization and voice generation workflows through natural conversation.

When paired with CrewAI, CAMB.AI becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call CAMB.AI 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

Text-to-Speech (TTS) Orchestration — Generate high-fidelity speech from text using MARS-8 models with ultra-low latency programmatically through your agent
Professional Dubbing & Translation — Programmatically translate and dub video or audio files into 140+ languages while preserving original emotional nuances
Voice Cloning Architecture — Create custom digital twins of any voice from short samples and retrieve your directory of custom cloned voices in real-time
Global Communication Intelligence — Access comprehensive directories of source and target languages to perfectly coordinate cross-border content delivery
Operational Monitoring — Track the real-time status of generation jobs and retrieve high-fidelity results directly through your agent for instant reporting

The CAMB.AI 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.

All 10 CAMB.AI tools available for CrewAI

When CrewAI connects to CAMB.AI through Vinkius, your AI agent gets direct access to every tool listed below — spanning dubbing, text-to-speech, voice-cloning, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_dubbing

Create a dubbing or translation job

create_tts

Returns a task ID to track progress. Create a Text-to-Speech task

create_voice_clone

Create a custom voice clone

get_job_status

Check the status of a dubbing job

get_tts_result

Get the result of a completed TTS task

get_tts_status

Check the status of a TTS task

list_cloned_voices

List all custom cloned voices

list_source_languages

List supported source languages

list_target_languages

List supported target languages

list_voices

List all available voices

Connect CAMB.AI to CrewAI via MCP

Follow these steps to wire CAMB.AI into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

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 CAMB.AI

Why Use CrewAI with the CAMB.AI MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with CAMB.AI 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

CAMB.AI + CrewAI Use Cases

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

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

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

Example Prompts for CAMB.AI in CrewAI

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

"List all available voices for Text-to-Speech in CAMB.AI."

"Generate speech for 'Hello world' using voice ID 1 and language 'en-us'."

"Dub video 'https://vinkius.com/promo.mp4' from English (ID: 1) to French (ID: 4)."

Troubleshooting CAMB.AI MCP Server with CrewAI

Common issues when connecting CAMB.AI 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.

CAMB.AI + CrewAI FAQ

Common questions about integrating CAMB.AI 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.