mcpField
H
Horizon AI Intelligence

Horizon AI Intelligence

Local
horizon.alchemylab.shBusiness & Marketing0Updated 1w ago

About Horizon AI Intelligence

Horizon is a no-key MCP server for AI news, regulation tracking, and daily briefings, aimed at agents and their users. It distinguishes self-reported claims from independently evaluated evidence and includes regional coverage.

Key features

  1. 01Daily AI briefings
  2. 02AI legislation and stage tracking
  3. 03Evidence provenance labels
  4. 04Regional news signals
  5. 05Search and related-item tools

Use cases

  1. 01Review daily AI developments
  2. 02Track legislation across regions
  3. 03Assess the source of company or model claims
  4. 04Compare regional AI news coverage

MCP support

It provides MCP tools for briefings, regulation updates, news search, evidence provenance, and regional signals through a streamable HTTP endpoint.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"horizon": {
"command": "npx",
"args": [
"-y",
"mcp-remote"
]
}
}
}
Run commandnpx -y mcp-remote

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-remote

Tools

11

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
datestringNoOptional YYYY-MM-DD for a past briefing (any date in the archive); omit for the latest briefing.

Details

From the project README

Horizon — AI news & AI regulation tracker for agents (MCP)

A free, no-key MCP server for AI news and AI regulation tracking — the EU AI Act, US federal and state bills, UK policy — plus a daily AI briefing, all with the evidence behind each claim labelled: self-reported by the company, or independently reported and evaluated.

Claude Code plugin

Adds the MCP server and three skills — /ai-news, /ai-regulation, /ai-receipts — that teach Claude which tool answers which question and how to relay the evidence labels instead of flattening them into headlines.

/plugin marketplace add system-alchemist/horizon-mcp
/plugin install horizon@alchemylab

Then ask: "What's the state of the EU AI Act?" — or /ai-regulation, /ai-news, /ai-receipts directly.

Any other MCP host

Point it at the endpoint. No key, no OAuth:

{ "mcpServers": { "horizon": { "url": "https://horizon.alchemylab.sh/api/mcp" } } }

For hosts that only speak stdio, npx mcp-remote https://horizon.alchemylab.sh/api/mcp bridges it.

Tools

ToolWhat it answers
get_daily_briefingWhat happened in AI today, or on any past date (public archive)
get_regulation_updatesCurrent AI legislation with its stage — eu, us_federal, us_state, uk
get_entity_provenanceHow much of the talk about a company or model is self-reported vs independently evaluated
get_topic_signalRecent signal on models, regulation, research, funding, tools…
get_region_signal / get_china_signalWhat Chinese, Korean, Japanese or EU press is covering
get_blind_spotsWhat regional press covers that Western feeds miss
search_newsQuick relevance check, top 3
get_new_since / get_relatedIncremental polling and "more like this"
list_sourcesWhat the corpus covers

Key-gated: ask_horizon (cited answers) and get_trends — see /developers.

What makes it different

Most AI-news tools give you headlines. Horizon labels who is saying it: a lab's own benchmark number carries "self-reported, no independent confirmation"; a number measured by LMArena, Epoch, Artificial Analysis or METR carries "independently evaluated". Regulation items carry their legislative stage from the source, not from coverage. Nothing is ever marked true or false — the shape of the evidence is the product.

Sources: Hacker News, Reddit, Lobsters, Bluesky, curated lab and media RSS, arXiv, Hugging Face, ModelScope, US Congress and federal agencies, US state legislatures, UK Parliament, EU bodies. Regional lenses for China, Korea, Japan and the EU.

License

MIT. Attribution requested: name "Horizon" and link https://horizon.alchemylab.sh when you use results; every result carries a ready-to-paste provider.citation.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.