Weblate MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 32 tools to Add Group Admins, Add Group Roles, Create Group, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Weblate through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this MCP Server for OpenAI Agents SDK
The Weblate MCP Server for OpenAI Agents SDK is a standout in the Developer Tools category — giving your AI agent 32 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Weblate Assistant",
instructions=(
"You help users interact with Weblate. "
"You have access to 32 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Weblate"
)
print(result.final_output)
asyncio.run(main())
* 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 Weblate MCP Server
Connect your Weblate instance to any AI agent to streamline your continuous localization and translation management through natural conversation.
The OpenAI Agents SDK auto-discovers all 32 tools from Weblate through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Weblate, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Project & Component Management — List all projects, fetch component details, and explore translation files directly from the Weblate API.
- Language Insights — Retrieve detailed statistics for specific languages to track translation progress and identify missing strings.
- User & Group Administration — Manage user profiles, list contributions, and handle group roles or administrative permissions.
- Repository Operations — Perform critical repository actions like pulling updates or pushing translations to keep your version control in sync.
- Notification Control — List and manage user notification subscriptions to stay updated on translation changes.
The Weblate MCP Server exposes 32 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 32 Weblate tools available for OpenAI Agents SDK
When OpenAI Agents SDK connects to Weblate through Vinkius, your AI agent gets direct access to every tool listed below — spanning translation-management, localization-workflow, i18n, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add group admins on Weblate
Add team administrators to a group
Add group roles on Weblate
Associate roles with a group
Create group on Weblate
Create a new group
Create language on Weblate
Create a new language definition
Create project on Weblate
Create a new project
Create project component on Weblate
Create a new component in a project
Create role on Weblate
Create a new role with specific permissions
Create user on Weblate
Create a new Weblate user
Delete user on Weblate
Delete a user (marks inactive)
Get group on Weblate
Get group details (roles, projects, components)
Get language on Weblate
Get language details (plural formulas, aliases)
Get language statistics on Weblate
Global statistics for a language
Get project on Weblate
Get project details
Get project file url on Weblate
Get the URL to download all translations as a ZIP archive
Get project repository on Weblate
Overall VCS status for the project
Get role on Weblate
Get role details and permission codenames
Get root on Weblate
Get Weblate API root entry point
Get user on Weblate
Get detailed user information
Get user contributions on Weblate
List translations with user contributions
Get user statistics on Weblate
Get user translation statistics
List groups on Weblate
List Weblate groups
List languages on Weblate
List all languages
List project components on Weblate
List components within a project
List project labels on Weblate
Manage project labels
List project languages on Weblate
Paginated statistics for all languages in a project
List projects on Weblate
List all projects
List roles on Weblate
List roles associated with the user
List user notifications on Weblate
List user notification subscriptions
List users on Weblate
Requires management permissions or returns self. List Weblate users
Manage user notifications on Weblate
Manage user notification subscriptions
Perform repository operation on Weblate
Perform VCS operations (push, pull, commit, reset, cleanup)
Update user on Weblate
Update user details
Connect Weblate to OpenAI Agents SDK via MCP
Follow these steps to wire Weblate into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Weblate MCP Server
OpenAI Agents SDK provides unique advantages when paired with Weblate through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Weblate + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Weblate MCP Server delivers measurable value.
Automated workflows: build agents that query Weblate, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Weblate, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Weblate tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Weblate to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Weblate in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Weblate immediately.
"List all active localization projects in Weblate."
"Show me the translation statistics for the German language."
"Get detailed information for user 'johndoe'."
Troubleshooting Weblate MCP Server with OpenAI Agents SDK
Common issues when connecting Weblate to OpenAI Agents SDK through Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Weblate + OpenAI Agents SDK FAQ
Common questions about integrating Weblate MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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