How to Use the Lokalise MCP in CrewAI

Q: Can CrewAI agents manage Lokalise translations independently?

Yes. By providing the addtranslation and updatekey tools, your agents can autonomously correct or add missing strings as they find them.

Q: How do I restrict Lokalise tool access in CrewAI?

Use the toolfilter option in the MCP server configuration. This ensures that only authorized agents can perform sensitive actions like updating keys.

Deploy autonomous translation crews with the Lokalise MCP Server and CrewAI.

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Connect Lokalise MCP to CrewAI

Create your Vinkius account to connect Lokalise 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.

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Setup Lokalise with CrewAI

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Specialized translation crews for Lokalise

Assign a researcher agent to `list_keys` and a writer agent to `add_translation`. They work together to ensure your localization files stay current without human intervention. Your crew handles the entire lifecycle of a string. From identifying missing keys to pushing final translations, the agents coordinate the work based on their roles.

Automated project monitoring

Use a monitor agent to keep an eye on project status using `get_project`. If it detects stale content, it triggers a workflow to fetch updates via `download_file`. This is autonomous operations at work. Your crew manages the health of your Lokalise projects so you can focus on shipping features instead of managing files.

Hierarchical translation workflows

Set up a manager agent to oversee `list_orders` and `list_team_members`. It delegates specific translation tasks to subordinate agents based on their capabilities. This keeps your operations organized. You get a clear audit trail of what your crew is doing inside your Lokalise account at any given moment.

Setup guide

Set up Lokalise MCP in CrewAI

Prerequisites

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

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Lokalise tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Lokalise Analyst",
    goal="Access and analyze Lokalise data via MCP.",
    backstory="Expert analyst with direct Lokalise access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Lokalise transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Lokalise Analyst",
        goal="Access and analyze Lokalise data via MCP.",
        backstory="Expert analyst with direct Lokalise access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lokalise transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lokalise. 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 Lokalise MCP in CrewAI

You simply pass the server URL to the agents in your crew configuration. The agents will automatically discover and use the available tools.

Yes. By providing the `add_translation` and `update_key` tools, your agents can autonomously correct or add missing strings as they find them.

You can share the server across your crew. This allows agents to collaborate on the same project data using shared tools like `list_translations`.

Use the tool_filter option in the MCP server configuration. This ensures that only authorized agents can perform sensitive actions like updating keys.

The server only processes your project strings and translation metadata. Security is maintained through the managed Vinkius endpoint, and your sensitive project information remains isolated within your session.

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