MCP.Market

New-Term Radar MCP server

by zhuyansen·io.github.zhuyansen/new-term-radar·v0.5.1·1.8k stars

New AI model, product and repo names as they surface, and the search terms behind them, sized.

B83/100grade B
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Safety scan
B83/100

full report

Adoption
Established

1.8k stars369 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

New-Term Radar tools (3, 1 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • keyword_table

    The keyword table for new names (models, products, repositories), read now: each name and the generic search terms behind it, with estimated searches a day, when it started rising, what it is doing now, and prioritize / watch / skip.

  • recent_leads

    Leads the radar kept in the last `days` days (newest first), each with its signals, name score and, once reviewed, whether it rose in DataForSEO Trends; plus the hit rate per signal. Reads the local database only: free and instant. Empty until `sources` or `daily` has run.

  • run_radarwrite action

    Run the radar once and return its report. command: "sources" (X and Hugging Face only; no report when nothing is new) or "daily" (every signal, the keyword table, the 14-day review). skip: any of x, hf, breakout, sitemaps, newsites, gsc, review, judge, usecases.

Public scan report

scanner v0.1.10 · 2026-10-25 · same rubric, same numbers if you re-run it

no findings
  • Code scan30 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 83/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How New-Term Radar compares

Against every graded E-commerce MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
83/100
higher than 75% of 2,026 E-commerce servers
Tools
3
the typical E-commerce server has 7
Tools that change things
33%
typical: 3%. Fewer write tools means less an agent can break
GitHub stars
1,787
more than 95% of 997 E-commerce servers
Downloads a week
369
more than 87% of 379 E-commerce servers with a package

What its tools let an agent do: 2 read · 1 run or deploy

Release history: 2 versions in the registry since 2026-10-20, latest 2026-10-25, typically one every 5 days.

Install New-Term Radar in Claude Code, Cursor or VS Code

claude mcp add new-term-radar -- uvx new-term-radar
Add to Cursor

What the publisher says

From the New-Term Radar repository's README, as published. We do not edit it. Read it on GitHub

new-term-radar

Catch the names AI people are about to search for, the day they appear, before keyword tools list them.

⭐ 700+ stars on its first day, 1,000 in just over three · on PyPI, the official MCP Registry, Cursor Directory, LobeHub, Tessl, ClawHub and skills.sh

Quick start · What it reads · The keyword table · Agents and MCP · config.json · 中文说明

A daily report of the names that are starting to surge in AI: new models, products, tools and repos, caught where they are said first, before they show up in keyword tools.

Built for people who make pages, posts or products around new terms: SEO for AI tool sites, newsletters, directories, anyone who wants to know about "Strata" or "Seedance" the day it appears and not two weeks later.

Why

A new name leaves a trail, in this order:

  1. A lab or a well-followed account says it on X; a model enters Hugging Face's trending list.
  2. One GitHub repo takes off on its own.
  3. Directories and competitors add pages for it; someone registers a domain for it and the site starts to rank.
  4. Your own site gets its first search impressions for it.
  5. Google Trends shows the curve, days or weeks later.

Keyword tools read step 5. This radar reads steps 1 to 4 every day and uses step 5 only to check itself.

One example it was built around: Niko1221/Strata was created on 2026-09-24 and had 7,700 stars nine days later. People were searching "niko strata" from 9/26, while no second repo carried the name and no keyword tool listed it. A single repo gaining 800 stars a day is the whole signal, and it is public.

What it reads

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

New-Term Radar: common questions

Is New-Term Radar MCP server safe?
Mostly: it is graded B (83/100). Read the New-Term Radar safety report
How do I install New-Term Radar?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does New-Term Radar need an API key?
Yes. The registry entry asks for AISA_API_KEY, GOANYAPI_API_KEY.
Is New-Term Radar maintained?
The last commit was in the last day (2026-10-25). The latest release is v0.5.1.
What can I use instead of New-Term Radar?
Servers from other publishers that do the same job: PostHog MCP Server, Loki Mode MCP server and Idea Reality MCP server.
How does New-Term Radar compare with other E-commerce MCP servers?
safety score 83/100 (higher than 75% of 2,026 E-commerce servers); tools 3 (the typical E-commerce server has 7); tools that change things 33% (typical: 3%. Fewer write tools means less an agent can break). Full comparison.

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