nativ-mcp

Official

by Nativ-Technologies

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Python

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Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

A3.7/5.0

Scored 2026-09-22 10:20 across 21 tools

Disambiguation4/5

Most tools target clearly distinct resources and actions, such as translate vs translate_batch or extract_image_text vs localize_image. Slight overlap exists between parse_subtitle and parse_audio_script, since both can handle .srt/.itt inputs, but their descriptions clarify the intended source type.

Naming Consistency5/5

Tool names follow a consistent snake_case verb_noun pattern throughout, e.g. list_voices, preview_voice, register_video, and translate_batch. There are no mixed conventions or vague action verbs.

Tool Count4/5

At 21 tools, the server is above the ideal 3-15 range, but the count is justified by the breadth of the localization domain: text translation, translation memory, style/brand config, subtitles, images, and audio/video dubbing. The tools do not feel redundant, though the set is on the heavier side.

Completeness4/5

Core localization workflows are well covered: text translation, batch translation, subtitle localization, image localization, transcription, TTS dubbing, and cultural checks. Minor gaps exist, such as no update/delete/disable for translation memory entries and no style guide or brand voice management beyond read-only access.