Prepare projects
Create or select work, inspect languages and files, apply memories, terminology, style rules and reference context, and return an estimate before processing.
LanguageOps for agents and developers
Automate professional translation workflows with MCP and the LanguageOps CLI
Bring LanguageOps projects, contextual translation, QA, LQA and progress into Claude, ChatGPT and other agent workflows, or automate local files and CI/CD from the command line.
Agent workflow
discover → prepare → confirm → run → monitor → review → deliverWhat agent automation will make possible
Turn a request into a controlled, visible language workflow
Run translation and quality
Start approved base-model translation, QA and LQA stages, improve existing human translation, and request the appropriate review route.
Monitor and retrieve
Follow durable job states, report progress, collect approved outputs and keep project history available to the team.
MCP
For conversational agent workflows
LanguageOps MCP is designed for account-connected agents that need a clear capability map, scoped authorization, explicit confirmation around paid work and reliable job status.
- Claude and other MCP-capable clients
- OAuth-connected LanguageOps access
- Idempotent project operations
- QA/LQA and human-review orchestration
CLI and API
For developers, local files and CI/CD
The LanguageOps CLI gives developers and coding agents a scriptable route for workstation files, bulk processing and repository automation. The API supports deeper product and content-system integrations.
Command line
langops projects create
langops files upload
langops translate run
langops jobs watchDesigned for controlled automation
Fast enough for agents, accountable enough for production
Context
Agents can work from project instructions rather than sending isolated text to a model.
Confirmation
Estimates and explicit approval keep paid work visible before it starts.
Recovery
Stable job identities and status let clients retry safely and resume monitoring.
Quality
Translation, QA, LQA, editing and approval remain separate, inspectable stages.
See it on your content
Run the workflow with your languages, files and quality rules
Bring one representative file or a complete multilingual programme. LanguageOps keeps translation, human editing, QA, LQA, approvals and delivery in one scalable workflow.