How to Use the Crowdin MCP in AutoGen
Build AutoGen multi-agent debates to resolve Crowdin tasks using this dedicated MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Crowdin MCP to AutoGen
Create your Vinkius account to connect Crowdin to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Debate Crowdin task assignments in AutoGen
The `list_project_tasks` tool allows your AutoGen agents to coordinate translation and proofreading assignments. A project manager agent retrieves the active tasks, while a QA agent reviews the assigned linguist credentials to ensure quality standards. These agents debate whether to reassign tasks based on historical performance metrics. By using this MCP server, your AutoGen group chat automatically resolves resource bottlenecks before they stall your release schedule.
Review Crowdin screenshots using AutoGen agents
The `list_project_screenshots` tool provides visual context tags and linked string identifiers to your AutoGen conversation thread. One agent flags missing visual context, while another matches screenshot IDs against active string keys. The agents negotiate which visual assets need updates to guide translators. They use `get_file_details` to verify if the corresponding source files are ready for visual validation.
Audit Crowdin translation files with AutoGen
The `list_project_files` tool feeds file paths and progress metrics directly into your AutoGen multi-agent workspace. A developer agent and a localization agent argue over which files require immediate translation updates based on completion percentages. This cooperative workflow uses `get_project_details` to check target languages before finalizing the file list. The agents reach consensus on release readiness without requiring manual project audits.
Set up Crowdin 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 includesmcp_server_toolsfor 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
AssistantAgentand callagent.run(). The agent invokes Crowdin tools and returns structured results.
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="Crowdin_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Crowdin data")
print(result.messages[-1].content) 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.
McpWorkbenchis 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=workbenchto your agent. State is preserved across multiple tool calls within the same session.
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="Crowdin_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Crowdin data")
print(result.messages[-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Crowdin. 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 Crowdin MCP in AutoGen
Use it with your favorite AI tools
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