Store API
GPT, Claude, Gemini, DeepSeek, Grok, Qwen and GLM through one API key. Pay per token.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'get_balance' description lacks action verbin get_balance
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"store-api": {
"url": "https://store-api.com/mcp"
}
}
}Remote endpoints
https://store-api.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (6)
🟢list_models(provider)
List available Store API models with prices in rubles per 1M tokens. Use it before ask_model to pick a model. — Список моделей Store API с ценами в рублях за 1 млн токенов.
Input Schema
{
"type": "object",
"properties": {
"provider": {
"type": "string",
"description": "Filter by provider: openai, anthropic, google, deepseek, qwen, mistral, xai, zai"
}
}
}Output Schema
{
"type": "object",
"properties": {
"models": {
"type": "array",
"description": "Text models with prices in rubles per 1M tokens",
"items": {
"type": "object",
"properties": {
"model": {
"type": "string"
},
"display_name": {
"type": "string"
},
"provider": {
"type": "string"
},
"input_per_1m_rub": {
"type": "number"
},
"output_per_1m_rub": {
"type": "number"
}
}
}
},
"images": {
"type": "array",
"description": "Image models with the price of one image in rubles",
"items": {
"type": "object",
"properties": {
"model": {
"type": "string"
},
"display_name": {
"type": "string"
},
"price_rub": {
"type": "number"
}
}
}
}
}
}🟢ask_model(model, prompt, system, max_tokens)
Ask any model from the Store API catalog — GPT, Claude, Gemini, DeepSeek, Grok, Qwen, GLM — and get the answer as text. Lets you consult a second model from inside the current chat. — Задать вопрос любой модели каталога и получить ответ текстом.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model slug, e.g. openai/gpt-6-sol or anthropic/claude-sonnet-5. Get the list from list_models"
},
"prompt": {
"type": "string",
"description": "Question or task for the model"
},
"system": {
"type": "string",
"description": "System instruction, optional"
},
"max_tokens": {
"type": "number",
"description": "Answer length limit, 1024 by default"
}
},
"required": [
"model",
"prompt"
]
}Output Schema
{
"type": "object",
"properties": {
"model": {
"type": "string"
},
"answer": {
"type": "string"
},
"input_tokens": {
"type": "number"
},
"output_tokens": {
"type": "number"
},
"error": {
"type": "string"
}
}
}⚪generate_image(prompt, model, size)
Generate an image from a text prompt and return a link to it. — Сгенерировать изображение по описанию, возвращает ссылку.
Input Schema
{
"type": "object",
"properties": {
"prompt": {
"type": "string",
"description": "Image description"
},
"model": {
"type": "string",
"description": "Image model, fal-ai/flux/schnell by default"
},
"size": {
"type": "string",
"description": "Size, e.g. 1024x1024"
}
},
"required": [
"prompt"
]
}Output Schema
{
"type": "object",
"properties": {
"url": {
"type": "string"
},
"model": {
"type": "string"
},
"error": {
"type": "string"
}
}
}🟢get_balance
Remaining balance on your Store API key, in rubles. — Остаток средств на ключе в рублях.
Input Schema
{
"type": "object",
"properties": {}
}Output Schema
{
"type": "object",
"properties": {
"balance_rub": {
"type": "number"
},
"top_up_url": {
"type": "string"
}
}
}🟢get_usage(days)
Spending history for this key: how much went to each model over the last N days, with request counts. — История трат по ключу: сколько ушло на каждую модель за последние N дней.
Input Schema
{
"type": "object",
"properties": {
"days": {
"type": "number",
"description": "How many days back to look, 1 to 90, 7 by default"
}
}
}Output Schema
{
"type": "object",
"properties": {
"days": {
"type": "number"
},
"total_rub": {
"type": "number"
},
"by_model": {
"type": "array",
"items": {
"type": "object",
"properties": {
"model": {
"type": "string"
},
"cost_rub": {
"type": "number"
},
"requests": {
"type": "number"
},
"input_tokens": {
"type": "number"
},
"output_tokens": {
"type": "number"
}
}
}
}
}
}🟢compare_models(models, prompt, system, max_tokens)
Ask 2 to 4 models the same question at once and get their answers side by side with token counts. Every model is billed separately. — Задать один вопрос нескольким моделям сразу и сравнить ответы.
Input Schema
{
"type": "object",
"properties": {
"models": {
"type": "array",
"items": {
"type": "string"
},
"description": "2 to 4 model slugs from list_models, e.g. openai/gpt-6-sol and anthropic/claude-sonnet-5"
},
"prompt": {
"type": "string",
"description": "Question or task, the same for every model"
},
"system": {
"type": "string",
"description": "System instruction, optional"
},
"max_tokens": {
"type": "number",
"description": "Answer length limit for each model, 600 by default"
}
},
"required": [
"models",
"prompt"
]
}Output Schema
{
"type": "object",
"properties": {
"answers": {
"type": "array",
"items": {
"type": "object",
"properties": {
"model": {
"type": "string"
},
"answer": {
"type": "string"
},
"input_tokens": {
"type": "number"
},
"output_tokens": {
"type": "number"
},
"error": {
"type": "string"
}
}
}
}
}
}Community
Evidence