Server definition
- Hash
- sha256:0e34de18f30827e09ac833609f0ee11b028572182729d44ce55712b20dfb8ca2
- What it is
- What a remote MCP server returned when asked what it offers: 4 tools
The blob, as servednamed by its sha256
{
"instructions": "Live LLM API pricing from modelpricewatch.com. Use these tools to look up current input/output token prices, context windows, and capabilities for 150+ AI models across 20+ providers (OpenAI, Anthropic, Google, Mistral, xAI, etc.), and find the cheapest option for a use case. All prices are USD per 1,000,000 tokens.",
"tools": [
{
"description": "Find the cheapest current models, ranked by input price, output price, or a blended cost. The generic ranking covers generative text models (embeddings, OCR and realtime models are excluded — they price different work); pass category to rank a specific pool instead, e.g. 'embedding'. Use to answer 'what is the cheapest model for <use case>'.",
"inputSchema": {
"properties": {
"category": {
"description": "Filter by category, e.g. flagship, reasoning, budget, coding, embedding.",
"type": "string"
},
"limit": {
"description": "How many to return (default 10, max 50).",
"type": "number"
},
"open_source": {
"description": "If true, only open-source models.",
"type": "boolean"
},
"sort_by": {
"description": "Ranking metric: 'input', 'output', or 'blended' (default 'blended').",
"type": "string"
}
},
"type": "object"
},
"name": "cheapest_models",
"outputSchema": null
},
{
"description": "Get full pricing and capability details for one model by its id (from search_models). Returns input/output/cached price per 1M tokens, blended cost, context window, modality, release date, and the modelpricewatch.com page URL.",
"inputSchema": {
"properties": {
"model_id": {
"description": "The model id, e.g. 'anthropic-claude-opus-4-8' or 'openai-gpt-5-5'. Get ids from search_models.",
"type": "string"
}
},
"required": [
"model_id"
],
"type": "object"
},
"name": "get_model_pricing",
"outputSchema": null
},
{
"description": "List all tracked AI model providers (OpenAI, Anthropic, Google, etc.) with a short description and their pricing page.",
"inputSchema": {
"properties": {},
"type": "object"
},
"name": "list_providers",
"outputSchema": null
},
{
"description": "Search the live LLM pricing database by model name, provider, or id. Returns matching models with current input/output prices (USD per 1M tokens), context window, modality, and category. Use this to answer 'how much does <model> cost' or 'what models does <provider> offer'.",
"inputSchema": {
"properties": {
"category": {
"description": "Filter by category, e.g. flagship, reasoning, budget, coding, embedding, fast, mid-tier.",
"type": "string"
},
"limit": {
"description": "Max results (default 20, max 50).",
"type": "number"
},
"open_source": {
"description": "If true, only open-source/open-weight models; if false, only proprietary.",
"type": "boolean"
},
"query": {
"description": "Free-text match against model name, provider, or id (e.g. 'claude', 'gpt-5', 'gemini flash'). Omit to list all.",
"type": "string"
}
},
"type": "object"
},
"name": "search_models",
"outputSchema": null
}
]
}Verify it yourself
curl -s https://api.teppi.xyz/v1/evidence/sha256:0e34de18f30827e09ac833609f0ee11b028572182729d44ce55712b20dfb8ca2 | sha256sum