How to Use the Weblate MCP in OpenAI Agents SDK

Q: How do I list users with the OpenAI Agents SDK and Weblate?

You simply call listusers. This provides a full directory of accounts. If you only need to check yourself, use getuser.

Q: Can the OpenAI Agents SDK manage project roles in Weblate?

Yes, it can. You use createrole to define permissions and then associate them with groups using addgrouproles. It’s a direct, scripted process.

Q: Does the OpenAI Agents SDK handle Weblate VCS operations?

Absolutely. The tool exposes performrepositoryoperation, letting your agent push commits or pull data directly from the project's version control system.

Q: What happens if I need to update a user with OpenAI Agents SDK and Weblate?

You call updateuser with the new details. The agent handles the API payload, ensuring your user profile is current without manual steps.

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Connect Weblate MCP to OpenAI Agents SDK

Create your Vinkius account to connect Weblate to OpenAI Agents SDK 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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Setup Weblate with OpenAI Agents SDK

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Manage all Weblate Users and Groups

You can create new users, call `create_user`, or delete accounts using `delete_user`. The agent also lists existing team members via `list_users` and manages permissions by calling `add_group_admins`. This tool lets your AI client handle onboarding tasks. Need to restrict who sees what? Use `get_role` to check permission details before assigning them.

Set up New Projects and Components

Start a new localization effort by calling `create_project`. Once the project exists, you can flesh it out immediately. The agent uses `list_project_components` to see what's already there before running `create_project_component`. This process ensures every piece of content gets tracked. You get a full picture of your setup by calling `get_group`.

Track Language Definitions and Stats

Check what languages are available globally using `list_languages`. For deeper checks, the agent can pull specific language metadata via `get_language`, which shows things like plural formulas. Need to see how many translations exist for a single language? Use `get_language_statistics` to get global numbers fast. The MCP Server handles all this data retrieval.

Setup guide

Set up Weblate MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Weblate tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Weblate tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Weblate tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Weblate Agent",
            instructions="You have access to Weblate tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Weblate MCP in OpenAI Agents SDK

You simply call `list_users`. This provides a full directory of accounts. If you only need to check yourself, use `get_user`.

Yes, it can. You use `create_role` to define permissions and then associate them with groups using `add_group_roles`. It’s a direct, scripted process.

Absolutely. The tool exposes `perform_repository_operation`, letting your agent push commits or pull data directly from the project's version control system.

You call `update_user` with the new details. The agent handles the API payload, ensuring your user profile is current without manual steps.

The server manages user accounts and their associated translation contribution records. Specifically, it touches the `user contributions` data type, which includes who translated what.

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