Translate Portuguese text into LIBRAS glosses and scripts with auditing support.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "librascript-mcp" yet — see the docs or source repo.
Please batch translate the following Portuguese announcements into LIBRAS glosses and scripts, and return the results item by item: 1) event time change notice; 2) registration deadline reminder; 3) venue update notice.
Returns LIBRAS gloss and script output for each announcement, ready for review or publishing.
Please review this Portuguese-to-LIBRAS translation for completeness and consistency, and point out any parts that need correction.
Provides audit feedback highlighting possible omissions, inconsistencies, or areas needing revision.
Please translate this Portuguese text into LIBRAS glosses and scripts, and validate whether the output format is correct.
Outputs the translation along with a validation result for format or content.
Content teams can generate LIBRAS glosses and scripts from Portuguese material to support more accessible communication. It is useful when multiple text items need to be processed.
Developers or reviewers can use it to inspect Portuguese-to-LIBRAS conversion results for auditing and consistency checks. It fits pre-release review or post-batch quality control.
When teams need to process many Portuguese text segments at once, the batch translation capability helps generate LIBRAS output consistently while reducing repetitive work. It suits notices, instructions, and common informational content.
It enables AI assistants to use official VLibras APIs to translate Portuguese text into LIBRAS glosses and scripts. It also supports content auditing, validation, and batch translation.
The provided information indicates that it relies on the official VLibras APIs. Other prerequisites or API key requirements are not provided here; see the source repository.
Beyond translating Portuguese into LIBRAS glosses and scripts, it emphasizes auditing, validation, and batch processing. That makes it better suited for quality-controlled or larger-scale workflows.
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