Text Classification MCP Server (Model2Vec)
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
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.
Capabilities
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 | {} |
Tools
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. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| classification_prompt | Prompt template for text classification. |
Resources
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 |
TDQS
Scored across 6 tools
Each tool has a distinct purpose: adding categories (single/batch), classifying text (single/batch), listing, and removing categories. No overlap or ambiguity.
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.
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.
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.