Bring Localization
to OpenAI Agents SDK
Learn how to connect Lokalise to OpenAI Agents SDK and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the Lokalise MCP Server?
Connect your Lokalise account to any AI agent and take full control of your translation and localization workflows through natural conversation.
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
How it works
1. Subscribe to this server
2. Enter your Lokalise API Token
3. Start managing your localization workflows from Claude, Cursor, or any MCP-compatible client
No more jumping between the Lokalise web console and your codebase. Your AI acts as a dedicated localization coordinator.
Who is this for?
- Developers — instantly create translation keys, push new strings, and pull localized files without leaving the IDE
- Product Managers — check translation progress across languages, review key counts, and monitor team activity
- Localization Teams — automate bulk uploads, generate export bundles, and manage translation orders programmatically
Built-in capabilities (13)
Add translations to one or more keys
Create translation keys in a Lokalise project
Create a new Lokalise project
Generate a download bundle of translations
Get details of a specific Lokalise project
List translation keys in a Lokalise project
List languages in a Lokalise project
List translation orders in your Lokalise account
List all Lokalise projects
List all team members in your Lokalise account
List translations for a key in a Lokalise project
Update an existing translation key
Upload a localization file to a Lokalise project
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 13 tools from Lokalise through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Lokalise, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Lokalise in OpenAI Agents SDK
Lokalise and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Lokalise to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Lokalise in OpenAI Agents SDK
The Lokalise 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. All 13 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Lokalise for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Lokalise MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
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.
How does the OpenAI Agents SDK connect to MCP?
Use 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?
Yes. Pass a list of 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?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.