Agentic Weekly
Read-only data on new AI models and tool releases. Each fact has a source URL and a date.
Should I use this
Quality & Safety
Findings (1)
- LOWin compare_tools
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": {
"agentic-weekly": {
"url": "https://theagenticweekly.com/mcp"
}
}
}Remote endpoints
https://theagenticweekly.com/mcpstreamable-httpWhat it can do
Tool inventory
Tools (4)
🟢latest_models(category, vendor, group, limit)
List the newest AI models with sourced facts (release date, context window, modalities, licence, price, source URL, last-verified date). Newest first.
Input Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"llm",
"image",
"voice",
"video"
],
"description": "Model category."
},
"vendor": {
"type": "string",
"description": "Vendor name, case-insensitive, e.g. Anthropic."
},
"group": {
"type": "string",
"description": "Use group, e.g. coding, open-weights, local, small-fast."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 10
}
},
"additionalProperties": false
}🟢get_model(slug)
Get one model by slug (e.g. gemini-4-argon) or by exact name, with a per-fact source URL, as-of date and Reported/Tested label.
Input Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Model slug or exact model name."
}
},
"required": [
"slug"
],
"additionalProperties": false
}🟢latest_releases(limit)
Latest AI tool release news briefs from Agentic Weekly, with first-seen and source-published timestamps in UTC.
Input Schema
{
"type": "object",
"properties": {
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 10
}
},
"additionalProperties": false
}🟢compare_tools(a, b)
Compare two items side by side from our data. Each of a and b is a tool slug (see /tools.json) or a model slug (see /models.json).
Input Schema
{
"type": "object",
"properties": {
"a": {
"type": "string"
},
"b": {
"type": "string"
}
},
"required": [
"a",
"b"
],
"additionalProperties": false
}Community
Evidence