yandexgpt-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| YANDEX_API_KEY | Yes | Your Yandex API key. Obtain from Yandex Cloud console. | |
| YANDEX_FOLDER_ID | Yes | Your Yandex folder ID. Obtain from Yandex Cloud console. |
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
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| completeA | Генерация текста через YandexGPT. Синхронный запрос с ожиданием ответа. |
| complete_asyncB | Асинхронная генерация текста через YandexGPT. Возвращает ID операции для проверки статуса. |
| get_operationA | Проверить статус асинхронной операции по ID. |
| embed_textB | Получить эмбеддинг (векторное представление) одного текста. |
| embed_documentsB | Получить эмбеддинги для массива текстов (batch). |
| classifyC | Zero-shot классификация текста по заданным меткам. |
| summarizeC | Суммаризация текста с помощью YandexGPT. |
| tokenizeB | Токенизация текста моделью YandexGPT. Возвращает список токенов и их количество. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 8 tools
Each tool has a clearly distinct purpose: synchronous generation, asynchronous generation, status checking, single embedding, batch embeddings, classification, summarization, and tokenization. No overlap or ambiguity.
All tool names follow a consistent snake_case verb_noun pattern (e.g., complete_async, get_operation, embed_documents). No mixing of conventions or vague verbs.
8 tools is well-scoped for a language model server, covering generation, embeddings, classification, summarization, and tokenization without excess or deficiency.
Core functionalities are covered, including both sync and async generation with status tracking, embeddings, classification, summarization, and tokenization. Minor gaps like lack of cancellation for async operations or model listing.