Resources & Data Models
Auto-loaded MCP context and JSON schema reference
Overview
Unlike tools (which your agent actively decides to call), Resources provide passive context. Your MCP client loads these automatically in the background, giving your agent a baseline awareness of current AI events before you even ask your first question.
Available Resources
latest-news
URI: hyperterminal://news/latest
The 10 most recent AI news stories. Equivalent to calling get_latest_news with default parameters. (MIME type: application/json)
latest-digest
URI: hyperterminal://digest/latest
The most recently published weekly digest with big-picture analysis, AGI probabilities, and key developments. (MIME type: application/json)
How clients handle this: In Claude Desktop, resources appear in the context panel automatically. Other clients might load them eagerly or on demand. You don't need to configure anything. If your client supports resources, your agent is already reading them.
Resource Registry (At a Glance)
Prop
Type
Data Models
Every payload returned by Hyperterminal's tools and resources follows a strict schema. Here is the shape of the data your agent receives.
News Event
In this example, highlighted lines are the fields most agents rely on for filtering and relevance (impact_level, news_type, categories, entities, and model names).
{
"id": "550e8400-e29b-41d4-a716-446655440000",
"title": "OpenAI releases GPT-5 with native multimodal reasoning",
"summary": "OpenAI announced GPT-5, featuring...",
"main_url": "https://...",
"source_account": "OpenAI (@OpenAI)",
"impact_level": "HIGH",
"news_type": "news",
"categories": ["model-release"],
"entity_slugs": ["openai"],
"model_names": ["GPT-5"],
"published_at": "2026-02-27T12:00:00Z"
}Prop
Type
Weekly Digest
In this example, highlighted lines are the AGI-tracker fields that carry the weekly forecast signal (current probability, delta, reasoning, and category evidence).
{
"id": "...",
"week_key": "2026-W09",
"week_start": "2026-02-23T00:00:00Z",
"week_end": "2026-03-01T00:00:00Z",
"title": "AI Hardware Race Heats Up",
"big_picture": "This week saw major moves in...",
"key_developments": [...],
"event_count": 47,
"high_impact_count": 8,
"podcast_status": "ready",
"podcast_url": "https://...",
"agi_probability": 12.5,
"agi_probability_delta": 0.3,
"agi_estimate_months": 36,
"agi_reasoning": "Continued progress in...",
"agi_category_breakdown": [
{ "category": "reasoning", "score": 15, "summary": "Notable progress in..." },
{ "category": "benchmarks", "score": 12, "summary": "New evaluation results..." },
{ "category": "cost_efficiency", "score": 10, "summary": "Training costs..." },
{ "category": "multimodal", "score": 8, "summary": "Cross-modal capabilities..." },
{ "category": "agents", "score": 14, "summary": "Autonomous agent frameworks..." },
{ "category": "scale", "score": 11, "summary": "Compute scaling trends..." }
]
}Prop
Type
Reference Values
When filtering news or reading payloads, you will encounter these standardized enums and slugs.
Impact & Types
| Impact Level | Meaning |
|---|---|
HIGH | Major industry event: model launches, acquisitions, policy shifts |
MEDIUM | Notable development: research papers, partnerships, product updates |
LOW | Minor update: incremental changes, smaller announcements |
| News Type | Meaning |
|---|---|
news | Verified, confirmed information |
rumor | Unverified, flagged as such in the feed |
Entities & Categories
Entity Types:
company: OpenAI, Anthropic, Google DeepMindlab: Meta AI, xAIuniversity: Stanford, MITgovernment: EU Commission, White Houseperson: Sam Altman, Dario Amodei
Common Categories:
llm · research · product · tools · api-platform · partnership · funding · infrastructure · hardware · safety · security · privacy · regulation · open-source · computer-vision · robotics