LILT MCP
LILT MCP connects agents to authorized translation and localization workflows exposed by LILT's hosted server.
Verdict
Common use cases
- Request translations for product copy
- Check localization project status
- Retrieve glossary terms for consistency
- Review translated assets before publish
- Coordinate multilingual launch timelines
Integration
- Vendor
- LILT MCP
- Category
- other
- Auth
- OAUTH2
- Composio slug
lilt_mcp
Tools
Setup
Setup guide
- 11. Open your Switchy workspace settings and navigate to the Integrations page. 2. Find LILT MCP in the directory and click Connect. 3. You'll be redirected to LILT's OAuth consent screen — sign in with your LILT account. 4. Grant read and write access to translation projects, terminology, and file management. 5. After authorization, Switchy redirects you back and confirms the connection is active. 6. Open any Project and type '@LILT check translation status for project X' to test — the MCP should return current progress. 7. If you see an error, revisit the Integrations page and verify the OAuth token hasn't expired.
What teammates see: by default, memories from LILT MCP are scoped to the Project (PROJECT visibility) - you can mark any memory PRIVATE or share it ORG-wide.
Works well with
Top models
Compatibility data appears once enough Projects have used this MCP together with a given model.
How Switchy teams use it
Starter prompts
Request New Translation
@LILT translate the attached product description into French, German, and Spanish with a marketing tone
Check Project Status
@LILT what's the status of the Q1 website localization project and when will French be ready
Retrieve Glossary Terms
@LILT pull the glossary terms for our SaaS product category so I can review them before the next translation
Review Translation Quality
@LILT compare the English and German versions of the pricing page and highlight any discrepancies
Coordinate Launch Timeline
@LILT list all pending translations for the mobile app launch and give me estimated delivery dates by language
Example outputs
Illustrative - representative of the model's voice and quality, not literal recordings.
@LILT what's the current translation status for our product documentation in French and German?
Based on your LILT project data, French documentation is 87% complete with 142 segments pending review, while German is 62% complete with 318 untranslated segments remaining. The French project has 3 active translators and an estimated completion date of next Tuesday. German translation started later and currently has 2 assigned linguists working through technical terminology.
This example assumes the MCP can query project metadata and translation memory stats. Requires OAuth scope covering project read access. Actual segment counts and completion estimates depend on your LILT account's active projects and workflow configuration.
@LILT create a new translation project for our Q2 marketing materials targeting Spanish and Portuguese markets, using our existing brand glossary
Created translation project 'Q2 Marketing ES/PT' in your LILT workspace. Applied your 'Brand Glossary 2024' translation memory to ensure consistent terminology. The project is configured for Spanish (Latin America) and Portuguese (Brazil) with your standard review workflow enabled. Upload source files to begin translation, or I can help draft assignment instructions for your translation team.
Demonstrates project creation with memory application. This action creates a billable project in your LILT account and may trigger notifications to assigned team members. Verify glossary selection matches your intended market before uploading high-volume content.
@LILT review the last 50 translated segments for inconsistent terminology and suggest which glossary entries we should update
Analyzed recent translations and found 7 terminology inconsistencies: 'user interface' translated three different ways in Spanish segments, 'dashboard' alternates between transliteration and localized term in German, and 'workflow' lacks a consistent French equivalent. Recommend adding standardized entries for these terms to your glossary, prioritizing 'user interface' (appears 23 times) and 'dashboard' (18 times). The German transliteration may be intentional for technical accuracy.
Combines LILT's translation data with AI pattern recognition to surface quality issues. Effectiveness depends on segment volume and language pair—smaller datasets may not reveal meaningful patterns. Use this to inform glossary updates, but validate suggestions with your localization team before enforcing new terminology.
Use-case deep-dives
When LILT MCP fits a multi-market product team
A 6-person product team shipping to three European markets needs to hand off UI strings and help docs every sprint. LILT MCP works if your translation vendor is LILT and you're already using their API for project creation or status checks. The OAuth2 flow means each team member authenticates once, then the workspace can query translation progress or push new content without manual CSV exports. The trade-off: if you're not a LILT customer or your localization is ad-hoc (one market, twice a year), the integration overhead isn't worth it. This is a fit when you ship localized content at least monthly and LILT is your system of record. If that's you, connect it and stop emailing spreadsheets.
LILT MCP for support teams with translation SLAs
A 4-person support team handles tickets in English, German, and Spanish with a 24-hour SLA. LILT MCP makes sense if your company already pays for LILT's translation memory and you need to translate ticket replies or knowledge-base articles on the fly. The OAuth2 setup lets support reps request translations through the workspace without leaving Switchy or pinging the localization manager. The boundary: if your translation needs are infrequent (under 20 requests a month) or you're using Google Translate for speed, LILT's enterprise tooling is overkill. This wins when translation quality matters, volume is steady, and LILT is already in your stack. Connect it if you're translating support content weekly and accuracy beats speed.
When LILT MCP supports campaign localization
A 5-person marketing team runs campaigns in four countries and needs to review translated ad copy, landing pages, and email sequences before launch. LILT MCP fits if LILT is your translation vendor and you want to pull draft translations or check project status without switching tools. The OAuth2 auth means the team can query LILT's API for translation progress or retrieve finalized copy directly in Switchy. The limit: if your campaigns are English-only or you localize once a quarter, the integration adds friction for little gain. This is the right call when you're launching localized campaigns monthly, LILT manages your translation workflow, and you need real-time visibility into what's ready. If that's your cadence, connect it and stop chasing status updates in email.
Frequently asked
What does the LILT MCP integration do in Switchy?
It connects your Switchy workspace to LILT's translation management platform, letting AI assistants query translation memories, check project status, and pull terminology data without leaving your chat. Since no specific tools are captured yet, the exact capabilities depend on LILT's API surface — typically translation retrieval, glossary lookups, and project metadata.
Does LILT MCP require OAuth or can I use an API key?
This integration uses OAuth2, so you'll authorize Switchy through LILT's login screen rather than pasting an API token. The scopes requested depend on which LILT resources the MCP needs — usually read access to projects, translation memories, and glossaries. You'll see the exact permissions list during the OAuth flow.
Can the LILT MCP create new translation projects or only read existing ones?
That depends on the tools LILT exposes through this MCP. Most translation platform integrations start read-only — pulling completed translations, checking project status, searching term bases. If you need to create projects or upload source files, you'll likely still do that in LILT's web UI or via their REST API directly.
Why use the LILT MCP instead of LILT's API directly?
The MCP wraps LILT's API into natural-language tools your AI assistant can call mid-conversation. Instead of writing code to hit endpoints, you ask "What's the German translation for this product description?" and the assistant queries LILT's translation memory automatically. It's faster for ad-hoc lookups; use the API for batch jobs or custom workflows.
Who on my team should connect the LILT MCP?
Whoever has a LILT account with access to the projects and translation memories your team needs. If your LILT workspace has role-based permissions, connect with an account that can read the relevant resources. Each Switchy member can connect their own LILT account, or you can share one connection across the workspace.