# How to connect LILT to Grok Bot

```json
{
  "title": "How to connect LILT to Grok Bot",
  "toolkit": "LILT MCP",
  "toolkit_slug": "lilt_mcp",
  "framework": "Grok Bot",
  "framework_slug": "grok-bot",
  "url": "https://composio.dev/toolkits/lilt_mcp/framework/grok-bot",
  "markdown_url": "https://composio.dev/toolkits/lilt_mcp/framework/grok-bot.md",
  "updated_at": "2026-11-08T06:01:05.545Z"
}
```

## Introduction

Grok is xAI's assistant, and its bot builder lets you create a personal agent that holds context, runs skills, and connects to the apps you already use through plugins.
This guide explains how to connect LILT to a Grok bot using Composio Connect, which handles OAuth, token refresh, and reliability so you do not have to. You add Composio as a plugin, authenticate once, then ask your bot to work with LILT in plain language.

## Also integrate LILT MCP with

- [ChatGPT](https://composio.dev/toolkits/lilt_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/lilt_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/lilt_mcp/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/lilt_mcp/framework/atomic-agent)

## TL;DR

Composio exposes 1,500+ apps to your Grok bot through a single connection, so you get:
- Connect to 1,500+ apps with on-demand tool loading, so you do not fill your context window with unnecessary tool definitions.
- Use programmatic tool calling through a remote workbench, letting the model write its own code to handle complex tool chaining. This reduces back-and-forth for frequent tool calls.
- Handle large tool responses outside the model context to keep conversations lean.

## Connect LILT MCP to Grok Bot

### Connecting LILT to Grok Bot
Once Grok Bot is set up, you connect LILT entirely from its interface, and the whole flow takes under a minute.
### Set up Grok Bot
Get access. Grok Bot is included with Cursor Ultra, Cursor Premium Teams, and SuperGrok Heavy. Get the desktop app for macOS or Windows from [x.ai/bot](https://x.ai/bot) and sign in. An iPhone companion app is also available, and your bots sync across devices.
Create a bot. Pick a suggested role or define your own, then give it a short name, one primary job, and a short description of how it should work. Focused bots work best, because a clear role gives the bot more useful context over time.
### Connect LILT
### 1. Add the Composio plugin
Click the button. The Composio listing on x.ai opens and launches Grok Bot for you. If the app does not open on its own, click Add to Grok Bot.
[Add to Grok Bot](https://x.ai/bot/plugin/32661537)
Grok Bot opens the Composio plugin, showing its connector and skills. Click Add.
### 2. Authenticate
Go to the Installed section and click the Composio entry. You'll see its connector and skills listed.
Click Authenticate. You'll be taken to the Composio consent screen. Review the access it requests and click Authorize. Composio handles the OAuth handshake for you, so you never touch API keys or tokens.
### 3. Connect your LILT account
Back in the chat, ask your bot to connect to LILT or give it any LILT task.
For example, ask it to:
- "Translate latest product docs to Spanish"
- "Create translation job for marketing site"
- "Review untranslated segments in ProjectX"
It will prompt you to authenticate and authorize access.
That's it. Composio's tools are now available in your Grok bot, and your LILT account is ready to use.

## What is Grok Bot?

Grok is xAI's assistant, available as a chat interface and a bot builder for creating personal agents that run skills and connect to external apps.
With Composio Connect, your Grok bot can securely access apps like LILT through MCP without you sharing account credentials directly with the agent.

## What is the LILT MCP server, and what's possible with it?

The LILT MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your LILT account. It provides structured and secure access to your translation and localization workflows, so your agent can translate text, upload files, create verified translation jobs, manage translation models, and retrieve completed work on your behalf.
- Instant text translation: Have your agent translate text into the language you need using LILT's instant translation service.
- File translation workflows: Let the agent upload files and create verified translation jobs assigned to professional LILT linguists for translation and review.
- Job tracking and delivery: Direct your agent to check translation job status and download completed work when it is ready.
- Translation model management: Instruct your agent to create trained translation models for specific language pairs and list available models.
- Resource and credit visibility: Have your agent list translation jobs or models and retrieve your available credit balances.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LILT_MCP_CHECK_JOB_STATUS` | Check job status | Checks the status of a verified translation job. |
| `LILT_MCP_CREATE_TRAINED_MODEL` | Create trained model | Creates a new trained translation model for a specific language pair. Use this tool when a user wants to improve translation quality for a specific language pair by creating a translation model that can be trained with their own data. This is a prerequisite for using `translate_files_with_verification` for that language pair. |
| `LILT_MCP_DOWNLOAD_JOB` | Download job | Triggers a job export and returns a download link for the completed job. |
| `LILT_MCP_GET_CREDIT_BALANCE_INFORMATION` | Get credit balance information | Retrieves all available credit balances for the authenticated user. Instant credits refresh every month. You get a certain amount to use every month. Every month the credits refresh. Verified credits don't expire. Once they are purchased you will always have them. Use this tool to check the current balance for both instant and verified translation credits. Returns: dict[str, int]: A dictionary representing the credits with the following keys: - instant_translation(int): The number of instant translation credits - verified_translation(int): The number of verified translation credits |
| `LILT_MCP_HELLO_WORLD` | Hello world | Returns a friendly hello world message. |
| `LILT_MCP_LIST_RESOURCES` | List resources | Lists and filters jobs or models. |
| `LILT_MCP_TRANSLATE_FILES_WITH_VERIFICATION` | Translate files with verification | Create a verified translation job that will be assigned to professional LILT linguists for translation and review. IMPORTANT TWO-STEP WORKFLOW: STEP 1 - Get Quote (user_confirmed=False, default): - Call this tool WITHOUT user_confirmed or with user_confirmed=False - Returns a quote showing credits needed, current balance, and detailed breakdown - NO job is created, NO credits are deducted - Show the user the quote and ask for explicit confirmation STEP 2 - Create Job (user_confirmed=True): - Only after user explicitly confirms, call this tool again with user_confirmed=True - Creates the job and deducts credits - Returns the created job details Credit Handling: - If insufficient_credits=True: Inform user they don't have enough credits and suggest purchasing more at https://mcp.lilt.com/home - If credits are sufficient but low (10 or fewer): Warn user about low balance and suggest purchasing more credits - If credits are sufficient: Show quote details (credits needed, current balance, balance after) and ASK FOR EXPLICIT CONFIRMATION before proceeding to step 2 If the tool throws a ValueError related to no trained models existing for a language pair, then tell this to the user and ask if they would like to create a trained model. |
| `LILT_MCP_TRANSLATE_TEXT` | Translate text | Translates text using LILT's instant translate API. Use this tool when you need to translate text from one language to another using LILT's neural translation models. IMPORTANT: Check the 'insufficient_credits' field in the response. If True, inform the user they don't have enough credits and suggest purchasing more instant translation credits at https://mcp.lilt.com/home. If the user has sufficient credits but their balance is running low (5,000 credits or fewer), inform them about the remaining balance and suggest purchasing more credits to avoid interruptions. In the response object, if the "used_trained_model" is false, then tell the user that the translation was done with a LILT base model. If the user wants to improve the translation quality or match their brand voice they should create a trained model. Ask the user if they would like to create a trained model. |
| `LILT_MCP_UPLOAD_FILE` | Upload file | Upload a file to LILT for translation. This tool handles file uploads. For non-plain-text file formats like PDF, DOCX, RTF, etc., it assumes the client has extracted the text content. To indicate that only the text is being used, the tool appends a `.txt` extension to the original filename (e.g., `report.docx` becomes `report.docx.txt`). IMPORTANT: You must inform the user of this behavior. When a user uploads a file like a PDF or DOCX, confirm by saying: "I am uploading the extracted text from your file [original_filename] for translation." |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, your Grok bot can access the LILT MCP server through Composio to run the actions you authorize, using plain language in the chat.

## Complete Code

None listed.

## Conclusion

### Way Forward
Now that LILT is connected, extend your setup by connecting the other apps you already use every day, so your Grok bot can run true cross-app workflows end to end.
- Connect Calendar to turn threads into scheduled meetings automatically.
- Connect Slack or Teams to post summaries, approvals, and alerts where your team works.
- Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs.
- Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps.
Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single connection, your bot can coordinate multiple tools safely and reliably in one conversation.

## How to build LILT MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/lilt_mcp/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/lilt_mcp/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/lilt_mcp/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/lilt_mcp/framework/atomic-agent)

## Related Toolkits

- [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices.
- [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze.
- [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization.
- [ActiveMerge](https://composio.dev/toolkits/active_merge) - ActiveMerge is a document automation platform for generating documents, images, merged files, and e-signature workflows. It helps teams turn templates and stored files into finished, shareable documents faster.
- [Affinda](https://composio.dev/toolkits/affinda) - Affinda is an AI-powered document processing platform that automates data extraction from resumes, invoices, and more. It streamlines document-heavy workflows by turning files into structured, actionable data.
- [Agility cms](https://composio.dev/toolkits/agility_cms) - Agility CMS is a headless content management system for building and managing digital experiences across platforms. It lets teams update content quickly and deliver omnichannel experiences with ease.
- [Airparser](https://composio.dev/toolkits/airparser) - Airparser is an AI-powered parser for extracting structured data from emails, documents, PDFs, and files. It turns messy inbound content into clean fields your apps and workflows can use.
- [Algodocs](https://composio.dev/toolkits/algodocs) - Algodocs is an AI-powered platform that automates data extraction from business documents. It delivers fast, secure, and accurate processing without templates or manual training.
- [Api2pdf](https://composio.dev/toolkits/api2pdf) - Api2Pdf is a REST API for generating PDFs from HTML, URLs, and documents using powerful engines like wkhtmltopdf and Headless Chrome. It streamlines document conversion and automation for developers and businesses.
- [Archive.org](https://composio.dev/toolkits/archive_org) - Archive.org is the Internet Archive's digital library of websites, books, audio, video, and images. Use it to preserve, explore, and access historical web captures and public-domain media.
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- [Boloforms](https://composio.dev/toolkits/boloforms) - BoloForms is an eSignature platform built for small businesses, offering unlimited signatures, templates, and forms. It simplifies digital document signing and team collaboration at a predictable, fixed price.
- [Box](https://composio.dev/toolkits/box) - Box is a cloud content management and file sharing platform for businesses. It helps teams securely store, organize, and collaborate on files from anywhere.
- [Box MCP](https://composio.dev/toolkits/box_mcp) - Box MCP is Box's hosted MCP server that exposes enterprise files, folders, and metadata. It provides secure, centralized access to corporate content for search and management.
- [Carbone](https://composio.dev/toolkits/carbone) - Carbone is a blazing-fast report generator that turns JSON data into PDFs, Word docs, spreadsheets, and more using flexible templates. It lets you automate document creation at scale with minimal code.
- [Castingwords](https://composio.dev/toolkits/castingwords) - CastingWords is a transcription service specializing in human-powered, accurate transcripts via a simple API. Get seamless audio-to-text conversion for interviews, meetings, podcasts, and more.
- [CertSeal](https://composio.dev/toolkits/cert_seal) - CertSeal is an API platform for issuing and managing verifiable digital certificates. Use it to automate trusted certificate workflows for recipients, batches, designs, and webhooks.
- [Cloudconvert](https://composio.dev/toolkits/cloudconvert) - CloudConvert is a powerful file conversion service supporting over 200 file formats. It streamlines converting, compressing, and managing documents, media, and more, all in one place.
- [Cloudlayer](https://composio.dev/toolkits/cloudlayer) - Cloudlayer is a document and asset generation service for creating PDFs and images via API or SDKs. It lets you automate high-quality doc creation, saving dev time and reducing manual work.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and LILT MCP?

With a standalone LILT MCP server, the agents and LLMs can only access a fixed set of LILT tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from LILT and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Grok Bot?

Yes, you can. Grok Bot fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right LILT tools.

### Can I manage the permissions and scopes for LILT while using Tool Router?

Yes, absolutely. You can configure which LILT scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your LILT data and credentials are handled as safely as possible.

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