Crowdin MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Crowdin 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
Vinkius supports streamable HTTP and SSE.
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="Crowdin Assistant",
instructions=(
"You help users interact with Crowdin. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Crowdin"
)
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 Crowdin MCP Server
Integrate Crowdin, the leading localization management platform, directly into your AI workflow. Manage your translation projects, monitor file statuses, and track localization tasks using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from Crowdin through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Crowdin, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Project Management — List and retrieve detailed settings and statuses for all your localization projects.
- File Operations — Monitor files within projects and retrieve specific file metadata.
- Task & Workflow Tracking — Track translation and proofreading tasks to ensure timely delivery.
- Resource Insights — Access glossaries, translation memories, and supported language lists via chat.
The Crowdin MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Crowdin to OpenAI Agents SDK via MCP
Follow these steps to integrate the Crowdin MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Crowdin
Why Use OpenAI Agents SDK with the Crowdin MCP Server
OpenAI Agents SDK provides unique advantages when paired with Crowdin 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
Crowdin + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Crowdin MCP Server delivers measurable value.
Automated workflows: build agents that query Crowdin, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Crowdin, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Crowdin tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Crowdin to resolve tickets, look up records, and update statuses without human intervention
Crowdin MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Crowdin to OpenAI Agents SDK via MCP:
get_file_details
Touches file structure, revision history, and per-language translation status boundaries. Get metadata for a specific file in a project
get_project_details
Touches source/target language settings and project-level activity summary boundaries. Get detailed settings and status for a project
list_glossaries
Resolves glossary names, IDs, and language pairs used for terminology management. List all glossaries available in the account
list_project_files
Resolves file names, IDs, paths, and current translation progress metrics. List all files within a specific project
list_project_reports
Resolves report names, types (Translation Costs, Progress), and creation timestamps. List generated reports for a specific project
list_project_screenshots
Resolves screenshot IDs, tags, and linked string identifiers used for visual context. List all screenshots uploaded to a project for context
list_project_tasks
Resolves task titles, types (Translation, Proofreading), status, and assigned linguist references. List translation and proofreading tasks for a project
list_projects
Resolves project names, IDs, source languages, and target languages for localization workflows. List all localization projects in your Crowdin account
list_supported_languages
Resolves language codes, human-readable names, and locale identifiers. List all languages supported by Crowdin
list_translation_memories
Resolves TM names, IDs, and segment counts for reuse in future translations. List all translation memories (TMs) available
Example Prompts for Crowdin in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Crowdin immediately.
"List all localization projects in my account."
"What is the status of files in project 'Mobile App'?"
"List all active translation tasks for my projects."
Troubleshooting Crowdin MCP Server with OpenAI Agents SDK
Common issues when connecting Crowdin to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Crowdin + OpenAI Agents SDK FAQ
Common questions about integrating Crowdin 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?
Connect Crowdin with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Crowdin to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.