AIblogly AI Models
AI model facts from aiblogly.com: vendor API prices, context windows, licences, LMArena ranks.
Should I use this
Quality & Safety
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": {
"models": {
"url": "https://www.aiblogly.com/mcp"
}
}
}Remote endpoints
https://www.aiblogly.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (4)
🟢search_models(query, category, limit)
Find published AI models on aiblogly.com by name, vendor or category. Returns price per 1M tokens, context window, release date, licence, status and current LMArena rank, each with the model page URL to cite.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Words to match in the model name, vendor or slug, e.g. \"claude\", \"gemini flash\", \"Mistral\"."
},
"category": {
"type": "string",
"enum": [
"Coding",
"Image Generation",
"Video Generation",
"Audio Generation"
],
"description": "Optional. \"Coding\" holds the text/LLM models."
},
"limit": {
"type": "number",
"description": "Maximum results, 1-25. Default 10."
}
}
}🟢get_model(model)
All published facts for one model: vendor price with its conditions, context window, release date, licence, status (retired/deprecated), LMArena rank, vendor source and the date it was checked, plus a one-paragraph summary.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model name or aiblogly slug, e.g. \"Claude Haiku 5.5\" or \"claude-haiku-5-5\"."
}
},
"required": [
"model"
]
}⚪compare_models(a, b)
Side-by-side facts for two models (price, context window, release date, licence, LMArena rank) and the aiblogly comparison page URL.
Input Schema
{
"type": "object",
"properties": {
"a": {
"type": "string",
"description": "First model name or slug."
},
"b": {
"type": "string",
"description": "Second model name or slug."
}
},
"required": [
"a",
"b"
]
}⚪top_models(category, limit)
The highest-rated models in a category by current LMArena Elo (ranks older than 14 days are excluded), with links to the aiblogly rankings.
Input Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"Coding",
"Image Generation",
"Video Generation"
],
"description": "Default \"Coding\" (text models)."
},
"limit": {
"type": "number",
"description": "1-25. Default 10."
}
}
}Community
Evidence