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

Q: How do I configure the Localazy (AI Translation & Localization API) MCP Server in AutoGen?

Use mcpservertools from autogen-extmcp to load the tools. Pass them into your AssistantAgent constructor to give your agents translation capabilities.

Q: Can AutoGen agents resolve translation conflicts on Localazy?

Yes, your agents can use listfilecontent to read translations, debate the best phrasing, and apply the winner using updatesourcekey.

Q: How do AutoGen agents manage glossary updates using the Localazy (AI Translation & Localization API) MCP Server?

Agents can fetch terms using listglossaryterms and negotiate changes. They then apply updates using updateglossaryterm or remove obsolete terms with deleteglossaryterm.

Q: Is it possible to manage multiple projects simultaneously?

Yes, the listprojects tool lets your agents discover and switch between different localization projects under your organization.

Let AutoGen agents debate and coordinate translation updates, glossary terms, and CDN deployments.

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Setup Localazy (AI Translation & Localization API) with AutoGen

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Perplexity

Collaborative translation workflows

This MCP server exposes the `update_source_key` tool so your AutoGen agents can modify key properties during multi-agent discussions. A developer agent can propose key updates, while a localization agent verifies the context before writing. If the key needs a priority shift, the agents use `set_key_priority` to flag it for immediate human review. This keeps your localization queue clean and organized.

Automated quality control with AutoGen

The `upload_screenshot` tool allows your visual verification agent to attach context images to specific translation keys. Another agent can then check the layout using multimodal models to ensure text fits the UI. If the screenshot is outdated, the agent calls `delete_screenshot` to remove it. This prevents translators from looking at stale mockups.

Multi-agent CDN release management

The `list_cdn_metadata` tool is how your release agent checks which translation files are deployed to production. It coordinates with your QA agent to ensure all languages are fully translated before a release. When changes are made, the agent runs `get_webhook_secret` to verify incoming build triggers safely. This secures your automated deployment pipeline without manual key rotation.

Setup guide

Set up Localazy (AI Translation & Localization API) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Localazy (AI Translation & Localization API) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Localazy (AI Translation & Localization API)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Localazy (AI Translation & Localization API) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Localazy (AI Translation & Localization API)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Localazy (AI Translation & Localization API) data")
    print(result.messages[-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Localazy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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

Use `mcp_server_tools` from `autogen-ext[mcp]` to load the tools. Pass them into your `AssistantAgent` constructor to give your agents translation capabilities.

Yes, your agents can use `list_file_content` to read translations, debate the best phrasing, and apply the winner using `update_source_key`.

Agents can fetch terms using `list_glossary_terms` and negotiate changes. They then apply updates using `update_glossary_term` or remove obsolete terms with `delete_glossary_term`.

Yes, the `list_projects` tool lets your agents discover and switch between different localization projects under your organization.

The integration uses single-token authentication managed by Vinkius. Your agents never see your actual Localazy API keys, as all requests are routed through a secure, ephemeral MCP sandbox.

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