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How to Use the Localazy (AI Translation & Localization API) MCP in CrewAI

Deploy a specialized crew to manage your localization lifecycle with the Localazy (AI Translation & Localization API) MCP Server.

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Connect Localazy (AI Translation & Localization API) MCP to CrewAI

Create your Vinkius account to connect Localazy (AI Translation & Localization 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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Role-based translation crews

Assign a researcher agent to `list_files` and a moderator agent to `set_key_priority`. Each agent focuses on one part of your localization task. This division of labor keeps your crew efficient. The moderator ensures that high-priority keys get translated before the rest of the batch.

Autonomous glossary maintenance

Let your agents monitor your project using `list_glossary_terms`. If they spot missing definitions, they can trigger `create_glossary_term` to fill the gaps. You aren't managing the glossary manually anymore. The crew keeps your project vocabulary up to date while you work on other things.

CDN and metadata reporting

Get status updates on your published releases using `list_cdn_metadata`. Your agents report back when files are ready for production deployment. It removes the guesswork from your release cycle. You know exactly what's live and what's still in the pipeline.

Setup guide

Set up Localazy (AI Translation & Localization 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 Localazy (AI Translation & Localization API) tools as needed.

crew.py
from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Localazy (AI Translation & Localization API) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Common questions about Localazy (AI Translation & Localization API) MCP in CrewAI

You pass the server URL to the agent configuration. The agents then have direct access to all 23 translation tools.
Yes. The shared memory in CrewAI allows agents to pass project information between them as they work.
You use the tool_filter option to limit which agents can call sensitive tools like `delete_source_key`.
You can add a monitor agent to the crew. It tracks the output of every tool call to ensure your translations remain accurate.
The server enforces authentication on every request. Your keys are only accessible to the agents you explicitly authorize.

Start using the Localazy (AI Translation & Localization API) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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We've already built the connector for Localazy (AI Translation & Localization API). Just plug in your AI agents and start using Vinkius.

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All 23 tools are live and waiting. You're up and running in seconds.

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