What kind of Lokalise API token do I need for this integration?

You need a Personal Access Token from your Lokalise account. Go to your profile settings, find the API Tokens section, and generate a new token with read/write access to projects. Keep this token secure as it grants full API access to your account.

How do I add a new translation key to my Lokalise project via the AI agent?

Use the `create_key` action with the project ID, key name (e.g., `homepage.welcome.title`), and optionally specify platforms, tags, and a description. The key will be created with the base language placeholder ready for translation.

Can I export all my translations in a specific format like JSON or YAML?

Yes! Use the `download_file` action and specify the `format` parameter (e.g., `json`, `yml`, `xliff`, `strings`, `xml`). You can also filter by specific languages or filenames to generate targeted export bundles.

Is it possible to add translations programmatically for multiple languages at once?

Yes. The `add_translation` action supports adding translations for one or more keys at once. You can also mark translations as fuzzy or reviewed to indicate their quality status in the workflow.

Lokalise MCP Server for Pydantic AI 13 tools — connect in under 2 minutes

Name: Lokalise
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 13 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Lokalise through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Lokalise "
            "(13 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Lokalise?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Lokalise MCP Server

Connect your Lokalise account to any AI agent and take full control of your translation and localization workflows through natural conversation.

Pydantic AI validates every Lokalise tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Project Management — List all translation projects, fetch detailed project metadata, and create new projects directly from the API
Key Management — Query translation keys with filters by platform, tags, or filenames, plus create and update keys programmatically
Translation Operations — Fetch translations for any key, add new translations with review/fuzzy flags, and manage multi-language content
File Import/Export — Upload localization files (JSON, YAML, XLIFF) and generate download bundles in any supported format
Team & Orders — List team members and their roles, plus inspect professional translation orders

The Lokalise MCP Server exposes 13 tools through the Vinkius. Connect it to Pydantic AI 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 Lokalise to Pydantic AI via MCP

Follow these steps to integrate the Lokalise MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 13 tools from Lokalise with type-safe schemas

Why Use Pydantic AI with the Lokalise MCP Server

Pydantic AI provides unique advantages when paired with Lokalise through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Lokalise integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Lokalise connection logic from agent behavior for testable, maintainable code

Lokalise + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Lokalise MCP Server delivers measurable value.

Type-safe data pipelines: query Lokalise with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Lokalise tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Lokalise and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Lokalise responses and write comprehensive agent tests

Lokalise MCP Tools for Pydantic AI (13)

These 13 tools become available when you connect Lokalise to Pydantic AI via MCP:

add_translation

Add translations to one or more keys

create_key

Create translation keys in a Lokalise project

create_project

Create a new Lokalise project

download_file

Generate a download bundle of translations

get_project

Get details of a specific Lokalise project

list_keys

List translation keys in a Lokalise project

list_languages

List languages in a Lokalise project

list_orders

List translation orders in your Lokalise account

list_projects

List all Lokalise projects

list_team_members

List all team members in your Lokalise account

list_translations

List translations for a key in a Lokalise project

update_key

Update an existing translation key

upload_file

Upload a localization file to a Lokalise project

Example Prompts for Lokalise in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Lokalise immediately.

"List all my Lokalise translation projects and show their current status."

"Create a new translation key 'checkout.success.message' in my Web App project for the web platform."

"Download all Portuguese (pt-BR) translations from my Mobile App project in JSON format."

Troubleshooting Lokalise MCP Server with Pydantic AI

Common issues when connecting Lokalise to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Lokalise + Pydantic AI FAQ

Common questions about integrating Lokalise MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Lokalise MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.