A
licenseA
qualityD
maintenanceEnables MCP-compatible AI applications to translate text through the Lara Translate API, with automatic language detection, context-aware translations, and custom instructions.
1
1,539 npm
MIT
Lara Translate MCP Server
by ACRT-EVAL
Related Servers
Alternatives to Lara Translate MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceEnables MCP-compatible AI applications to translate text between languages with automatic language detection, contextual hints, custom instructions, and multi-language support.11,539 npmMIT
- AlicenseBqualityDmaintenanceEnables AI applications to perform text translation across numerous language pairs with automatic source-language detection, contextual hints, and custom instructions.11,539 npmMIT
- AlicenseBqualityDmaintenanceEnables AI applications to perform multi-language translations with automatic language detection, contextual hints, and custom instructions through an MCP-compatible interface.11,539 npmMIT
- AlicenseBqualityDmaintenanceEnables MCP-compatible AI applications to translate text between many languages, with automatic source-language detection, contextual hints, and custom translation instructions.11,539 npmMIT
- FlicenseNot gradedqualityDmaintenanceProvides translation and language detection tools to AI agents, processing text, audio, and Google Meet recordings with emotional voice style preservation via Google's Gemini Live API.1-
TDQS
B3.4/5.0
Scored across 1 tool
Disambiguation5/5
There is only one tool, so there is no possibility of misselection between tools. Its purpose—translating text between languages—is unambiguous.
Naming Consistency5/5
The single tool uses a clear imperative verb name ('translate') with no competing conventions to clash with. Trivially consistent by construction.
Tool Count3/5
One tool is a very thin surface for a translation server, even if the core operation is well chosen. It sits in the borderline '1-2 tools feels thin' band rather than an extreme mismatch.
Completeness3/5
Core translation is covered, but there are notable gaps: no tool to list or discover supported languages, no batch/multi-segment translation, and no document or glossary handling. Agents can work around these but may hit dead ends when they need language metadata.
Maintenance
ActivityInactive
ResponsivenessNo issues