LILT MCP connector

1. Install the SDK

   Node.js

   npm install @scalekit-sdk/node

   Python

   pip install scalekit

   Full SDK reference: Node.js | Python

2. Set your credentials

   Add your Scalekit credentials to your .env file. Find values in app.scalekit.com > Developers > API Credentials.

   .env

   SCALEKIT_ENVIRONMENT_URL=<your-environment-url>
   SCALEKIT_CLIENT_ID=<your-client-id>
   SCALEKIT_CLIENT_SECRET=<your-client-secret>

3. Authorize and make your first call

   Node.js

   quickstart.ts

   import { ScalekitClient } from '@scalekit-sdk/node'
   import 'dotenv/config'
   
   const scalekit = new ScalekitClient(
     process.env.SCALEKIT_ENV_URL,
     process.env.SCALEKIT_CLIENT_ID,
     process.env.SCALEKIT_CLIENT_SECRET,
   )
   const actions = scalekit.actions
   
   const connector = 'liltmcp'
   const identifier = 'user_123'
   
   // Generate an authorization link for the user
   const { link } = await actions.getAuthorizationLink({ connectionName: connector, identifier })
   console.log('Authorize LILT MCP:', link)
   process.stdout.write('Press Enter after authorizing...')
   await new Promise(r => process.stdin.once('data', r))
   
   // Make your first call
   const result = await actions.executeTool({
     connector,
     identifier,
     toolName: 'liltmcp_get_credit_balance_information',
     toolInput: {},
   })
   console.log(result)

   Python

   quickstart.py

   import os
   from scalekit.client import ScalekitClient
   from dotenv import load_dotenv
   load_dotenv()
   
   scalekit_client = ScalekitClient(
       env_url=os.getenv("SCALEKIT_ENV_URL"),
       client_id=os.getenv("SCALEKIT_CLIENT_ID"),
       client_secret=os.getenv("SCALEKIT_CLIENT_SECRET"),
   )
   actions = scalekit_client.actions
   
   connection_name = "liltmcp"
   identifier = "user_123"
   
   # Generate an authorization link for the user
   link_response = actions.get_authorization_link(
       connection_name=connection_name,
       identifier=identifier,
   )
   print("Authorize LILT MCP:", link_response.link)
   input("Press Enter after authorizing...")
   
   # Make your first call
   result = actions.execute_tool(
       tool_input={},
       tool_name="liltmcp_get_credit_balance_information",
       connection_name=connection_name,
       identifier=identifier,
   )
   print(result)

What you can do

Connect this agent connector to let your agent:

• File upload — Upload a file to LILT for translation
• Text translate — Translates text using LILT’s instant translate API
• Verification translate files with — Create a verified translation job assigned to professional LILT linguists for file translation
• List resources — Lists and filters LILT jobs or translation models
• Get credit balance information — Retrieves all available credit balances for the authenticated user
• Job download — Triggers a job export and returns a download link for the completed translation job

Tool list

Use the exact tool names from the Tool list below when you call execute_tool. If you’re not sure which name to use, list the tools available for the current user first.

liltmcp_check_job_status#Checks the status of a verified translation job.1 param▾

Checks the status of a verified translation job.

NameTypeRequiredDescription

job_idintegerrequiredNo description.

liltmcp_create_trained_model#Creates a new trained translation model for a specific language pair.2 params▾

Creates a new trained translation model for a specific language pair.

NameTypeRequiredDescription

src_langstringrequiredNo description.

trg_langstringrequiredNo description.

liltmcp_download_job#Triggers a job export and returns a download link for the completed translation job.1 param▾

Triggers a job export and returns a download link for the completed translation job.

NameTypeRequiredDescription

job_idintegerrequiredNo description.

liltmcp_get_credit_balance_information#Retrieves all available credit balances for the authenticated user.0 params▾

Retrieves all available credit balances for the authenticated user.

liltmcp_list_resources#Lists and filters LILT jobs or translation models.2 params▾

Lists and filters LILT jobs or translation models.

NameTypeRequiredDescription

resource_typestringrequiredType of resource to list. Use "job" for translation jobs or "model" for trained translation models.

archivedbooleanoptionalNo description.

liltmcp_translate_files_with_verification#Create a verified translation job assigned to professional LILT linguists for file translation.5 params▾

Create a verified translation job assigned to professional LILT linguists for file translation.

NameTypeRequiredDescription

file_idsarrayrequiredNo description.

namestringrequiredNo description.

src_langstringrequiredNo description.

trg_langsarrayrequiredNo description.

user_confirmedbooleanoptionalNo description.

liltmcp_translate_text#Translates text using LILT's instant translate API.3 params▾

Translates text using LILT's instant translate API.

NameTypeRequiredDescription

src_langstringrequiredNo description.

textstringrequiredNo description.

trg_langstringrequiredNo description.

liltmcp_upload_file#Upload a file to LILT for translation.3 params▾

Upload a file to LILT for translation.

NameTypeRequiredDescription

contentstringrequiredNo description.

namestringrequiredNo description.

content_typestringoptionalNo description.