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Text Classification MCP Server (Model2Vec)

by baobab-tech
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Python
Hybrid

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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

    A3.6/5.0

    Scored across 6 tools

    Disambiguation5/5

    Each tool has a distinct purpose: adding categories (single/batch), classifying text (single/batch), listing, and removing categories. No overlap or ambiguity.

    Naming Consistency5/5

    All tools use snake_case and follow a consistent verb_noun pattern (e.g., add_custom_category, batch_classify, list_categories). No mixing of styles.

    Tool Count5/5

    Six tools is well-scoped for a text classification server: category CRUD (add/batch add, list, remove) and classification (single/batch). Neither too few nor too many.

    Completeness4/5

    Covers core functionality: category management and classification. Missing an update category tool is a minor gap, but agents can work around it by removing and re-adding.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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