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How to Use the LibreTranslate API MCP in CrewAI

Add specialized translation agents to your CrewAI crew with this MCP Server.

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CrewAI

Connect LibreTranslate API MCP to CrewAI

Create your Vinkius account to connect LibreTranslate API 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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Multi-agent translation in CrewAI

Assign a specialized agent to use `translate_text` while others handle research or analysis. It keeps your translation tasks isolated within the crew. Your crew collaborates by passing text between agents. The translation agent acts as the bridge for multi-lingual input.

Language detection for CrewAI tasks

Use `detect_language` to allow your moderator agent to route tasks to the correct specialist. It ensures the right crew member handles the request. Your agents adapt their behavior based on the detected language. It makes your crew more flexible.

Inventory language support in CrewAI

Call `list_supported_languages` so your agents know what they can actually translate. It prevents agents from attempting impossible tasks. Your agents query this list before starting a batch job. It saves time and prevents errors.

Setup guide

Set up LibreTranslate API MCP in CrewAI

Prerequisites

  • Python 3.10+ installed
  • crewai package (pip install crewai)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install CrewAI

    Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.

  2. 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. 3

    Kick off your crew

    Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke LibreTranslate API tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent LibreTranslate API transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Why Choose Vinkius

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Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LibreTranslate API MCP in CrewAI

Pass the server URL directly into the mcps list within your Agent definition. CrewAI handles the connection and tool registration.
The translation results are returned as standard outputs. These can be stored in the shared memory of your crew for other agents to use.
Yes. You can configure a crew to monitor a source, detect the language, and translate it without any manual input.
Use the `check_api_status` tool within a monitor agent. It keeps track of the translation service uptime during long-running operations.
The translation tool processes your text strings ephemerally. It does not store input text logs or user metadata on the translation server.

Start using the LibreTranslate API MCP today

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Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for LibreTranslate API. Just plug in your AI agents and start using Vinkius.

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