Schema | Text Classification MCP Server (Model2Vec)

Text Classification MCP Server (Model2Vec)

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
classify_textC	Classify text into predefined categories using static embeddings.
add_custom_categoryB	Add a new custom category for classification.
batch_add_custom_categoriesB	Add multiple custom categories for classification in a single operation.
list_categoriesA	List all available categories for classification. Returns: JSON string with all categories and their descriptions
remove_categoriesB	Remove one or multiple categories from the classification system.
batch_classifyA	Classify multiple texts at once.

Interactive templates invoked by user choice

Name	Description
`classification_prompt`	Prompt template for text classification.

Contextual data attached and managed by the client

Name	Description
`get_categories_resource`	Resource that provides the list of available categories
`get_model_info`	Resource that provides information about the loaded model

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/baobab-tech/mcp-text-classifier'

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