How to Use the Localazy (AI Translation & Localization API) MCP in CrewAI
Deploy a specialized crew to manage your localization lifecycle with the Localazy (AI Translation & Localization API) MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Localazy (AI Translation & Localization API) MCP to CrewAI
Create your Vinkius account to connect Localazy (AI Translation & Localization API) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Role-based translation crews
Assign a researcher agent to `list_files` and a moderator agent to `set_key_priority`. Each agent focuses on one part of your localization task. This division of labor keeps your crew efficient. The moderator ensures that high-priority keys get translated before the rest of the batch.
Autonomous glossary maintenance
Let your agents monitor your project using `list_glossary_terms`. If they spot missing definitions, they can trigger `create_glossary_term` to fill the gaps. You aren't managing the glossary manually anymore. The crew keeps your project vocabulary up to date while you work on other things.
CDN and metadata reporting
Get status updates on your published releases using `list_cdn_metadata`. Your agents report back when files are ready for production deployment. It removes the guesswork from your release cycle. You know exactly what's live and what's still in the pipeline.
Set up Localazy (AI Translation & Localization API) MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Localazy (AI Translation & Localization API) tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Localazy (AI Translation & Localization API) Analyst",
goal="Access and analyze Localazy (AI Translation & Localization API) data via MCP.",
backstory="Expert analyst with direct Localazy (AI Translation & Localization API) access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Localazy (AI Translation & Localization API) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Localazy (AI Translation & Localization API) Analyst",
goal="Access and analyze Localazy (AI Translation & Localization API) data via MCP.",
backstory="Expert analyst with direct Localazy (AI Translation & Localization API) access.",
tools=mcp_tools,
)
task = Task(
description="List recent Localazy (AI Translation & Localization API) transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Localazy (AI Translation & Localization API) MCP in CrewAI
Use it with your favorite AI tools
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Start using the Localazy (AI Translation & Localization API) MCP today
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