Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Computer or cloud
New-Term Radar
Overview
Description from the maker (original English)
New AI model, product and repo names as they surface, and the search terms behind them, sized.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiVery new↓ 184/wk · ★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Search & AI memory
- You need to fill in: AISA_API_KEY, GOANYAPI_API_KEY
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- You fill in yourself:
AISA_API_KEY,GOANYAPI_API_KEY,RADAR_CONFIG,RADAR_STATE
Values marked secret are keys to your account. Never share them or paste them into a chat.
You need
- PyPIPython’s uv installed (for the uvx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"new-term-radar": {
"command": "uvx",
"args": [
"new-term-radar",
"mcp"
],
"env": {
"AISA_API_KEY": "your-value",
"GOANYAPI_API_KEY": "your-value",
"RADAR_CONFIG": "your-value",
"RADAR_STATE": "your-value"
}
}
}
}Run this in your terminal
claude mcp add new-term-radar --env AISA_API_KEY=your-value --env GOANYAPI_API_KEY=your-value --env RADAR_CONFIG=your-value --env RADAR_STATE=your-value -- uvx new-term-radar mcpFill in the empty values before running it.
Or copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"new-term-radar": {
"command": "uvx",
"args": [
"new-term-radar",
"mcp"
],
"env": {
"AISA_API_KEY": "your-value",
"GOANYAPI_API_KEY": "your-value",
"RADAR_CONFIG": "your-value",
"RADAR_STATE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"new-term-radar": {
"type": "stdio",
"command": "uvx",
"args": [
"new-term-radar",
"mcp"
],
"env": {
"AISA_API_KEY": "your-value",
"GOANYAPI_API_KEY": "your-value",
"RADAR_CONFIG": "your-value",
"RADAR_STATE": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
Values you fill in
- AIsa key. X posts, search volumes, DataForSEO Trends and the models all go through it.
- Optional. Adds what people searched together with each name, and one country's settled daily series.
RADAR_CONFIGenvOptional. Absolute path to your config.json (X accounts, sitemaps, thresholds).RADAR_STATEenvOptional. Absolute path to the directory that holds the radar's SQLite state.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account zhuyansen, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Search & AI memoryi
- More stars than 0% of the other 5714 servers in this category
- Published to the registry more recently than 77% of the other 5714 servers in this category
- Basic checks equal to or better than 100% of the other 5714 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is New-Term Radar safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
You need to fill in: AISA_API_KEY, GOANYAPI_API_KEY
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (0.6.1) reached the registry 11 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
What can I use instead?
In the same category: Context7, Codebase Memory, Exa
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Runs on your computer
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Runs in the cloud✓ exa.ai
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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:
- A lab or a well-followed account says it on X; a model enters Hugging Face's trending list.
- One GitHub repo takes off on its own.
- Directories and competitors add pages for it; someone registers a domain for it and the site starts to rank.
- Your own site gets its first search impressions for it.
- 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
Purple, tagged NEW: what 0.6.0 added. On the keyword table: word age, markets, page-one shape, the twelve months, your own rank, what else holds page one (threads, an AI overview) and the exact-match .com. The first words ③'s new sites rank for, what ChatGPT recommends for ⑦'s asks, three more payment platforms and the builders on ⑧, ⑨ just listed, ⑩ money and the evidence beside the names. All of it is in CHANGELOG.md.
| Signal | What it catches | Needs | Cost |
|---|---|---|---|
| ① X | Names the accounts in your list used for the first time in 60 days | AIsa key | $0.003 per account per run |
| ① Hugging Face | Models and Spaces (the demos people try) new to the trending top 50; quantised copies and a model's own demo grouped under the base name | nothing | free |
| ② GitHub breakout | A repo under 14 days old averaging 200+ stars a day, or +400 since yesterday; adds the search variants people use ("niko strata") | nothing (a GitHub token raises the rate limit) | free |
| ③ Sitemaps | Words that several new URLs on a site share and its older URLs rarely carried. The example config watches eight AI tool directories (toolify, aixploria, ai-bot.cn, opentools, dang.ai, clipfly, aitoptools, futurepedia) and four MCP and skill directories | the sitemaps you list | free |
| ③ New sites | Domains registered and first indexed in the last 90 days that already rank for 20+ keywords, each new one with the first words it ranks for in Google's top 20, in any country: searches a site that new already reached | AIsa key | about $0.13 per query, weekly; about $0.013 a new site for its words |
| ⑦ Asks | What people ask for on Reddit ("is there an AI tool that…", twelve phrasings), X, Stack Exchange (Software Recommendations and three more) and Freelancer.com: a model keeps the requests and complaints an AI tool could answer and writes each job as people would search it; jobs with searches get the page-one check | AIsa key | about $0.12 a week, plus a few cents for X |
| ⑧ Sellers | Sites that just put up their first payment link (Stripe Payment Links, Polar, Lemon Squeezy, Gumroad, Creem, Paddle, Dodo Payments, Waffo Pancake), from the public link graph with the day each site first linked; new pages of old sellers, platform pages, forums and one link shared by several new sites (a network's) left out; the site's own description goes to the keyword table, and with GoAnyAPI its visits, its domain's registration and where its visitors come from (the AI share) | AIsa key; GoAnyAPI optional | about $0.50 a week |
| ⑧b Builders | Sites just built with Lovable or v0 and newsletters just started on beehiiv, read off their badges; only the software among them becomes a lead | AIsa key | about $0.15 a week |
| ⑨ Just listed | New on Product Hunt, Show HN, OpenRouter, Civitai, the App Store's top-grossing charts and awesome lists (free); weekly, the pages Google indexed under Figma plugins, There's An AI For That and the Chrome Web Store, trending searches on Douyin, TikTok and Reddit, and rising searches next to root words ("ai generator") | nothing for the free lists; AIsa and GoAnyAPI keys for the rest | free; about $0.02 a path, $0.001 a trending list, 6 GoAnyAPI credits a root word |
| ⑩ Money | The other sites on a paying tool site's AdSense account (its owner's other niches), and the advertisers new on your own terms (Google Ads Transparency) | GoAnyAPI key | 3 credits a site each way, 4 a term; weekly |
| Beside the names | For the day's strongest new names: new domains carrying the name (whois, or crt.sh certificates), Wikipedia views, what Google knows it as, Discord servers; for paying products, the "alternative", "vs", "free", "pricing" and "review" searches | AIsa key; GoAnyAPI for Discord | about $0.12 a name read by whois, $0.09 for the searches |
| ⑥ Revenue | Products people pay for, from TrustMRR's verified revenue: the fastest growing ($500+ in 30 days) and the newest listings; one at $0 last time and earning now is called out first. Its own description goes to the keyword table as evidence | TrustMRR key | free, 6 requests, weekly |
| ④ Search Console | Queries your site got impressions for, for the first time (fresh data) | your own Google token | free |
| ⑤ Review | Each lead checked in DataForSEO Trends 14 days later, against its own baseline; hit rate and days ahead per signal | AIsa key | $0.0012 per search variant |
| Keyword table | For the day's new names: the generic search terms behind them (what people do with the new thing), each sized, checked for room on page one, and given a decision | AIsa key; GoAnyAPI key optional | about $0.18 a day for 5 names, $0.30 with GoAnyAPI |
| Name judge | A small model scores every term: the name of one specific thing, or a common word? | AIsa key | a fraction of a cent per run |
Prices are what AIsa charged in October 2026. With the example config (35 X accounts read three times a day, the keyword table for 5 names a day) a month costs about $15: $10 for the X reads, $5 for the keyword table. Read fewer accounts, or read them once a day, and it drops in proportion.
The keyword table
A name is half of what you need. "SynthID Detector" has a short life as a keyword and belongs to Google; the job it does, "ai image detector", is what people keep searching, and nobody owns it. Each day the radar reads the new names once more and writes one table with both:
| Keyword | Type | Behind | New? | Est. searches/day | Started rising | Peak vs gpts | Peak day | Last 7 days vs the 7 before | Now | First searched | Markets (searches/KD) | Page one | Page-one shape | Decision || photocraft 🖼 | name | — | yes | 12747 | 2026-10-05 | 97 vs 3.1 | 2026-10-09 | — | still rising | 2026-10-04 🆕 | best US · US 110/0 · DE 20/0 · FR 20/0 · JP 10/31 | — | beatable · 1 home / 6 inner · 2 platform · exact title ×6 | prioritize | | ai image detector 🖼 | generic | synthid detector | no | 2537 | — | 87 vs 31.6 | 2026-10-04 | ×1.2 | flat | 2023-02-19 | best US · US 74k/37 · DE 3.6k/48 · FR 2.9k/47 · JP 720/31 | — | — | watch | | photoshop alternative ⚠ | generic | photocraft | no | 244 | — | 61 vs 61.7 | 2026-10-08 | ×1.8 | flat | — | — | — | — | skip |
(a real run, 2026-10-12, shortened; the Page one column came later, and First searched, Markets and Page-one shape in 0.6.0, from a run of 2026-10-18, see below. 0.6.0 also adds a 12 months column after Now and an action after the decision, → update yours, → improve yours or → new page: 10 to 13 below.)
How it is made (radar/usecases.py):
- Evidence: the most-liked posts that mention the name (X advanced search) and, for a repository, its README.
- Phrases: a model reads the evidence and writes the keyword an ordinary person would type for each job it sees people doing, with a quote that backs it. A phrase built on another product's name ("photoshop alternative") is kept and marked ⚠: demand often hangs on the incumbent, and whether to use someone's brand is your call. With a GoAnyAPI key (optional, below) the radar also takes Google Trends' related queries for the name: what people really searched together with it. For SynthID Detector that gave "ai photo detector", "google ai detector" and "ai detector"; these rows carry 🔎. Queries that hold the name are listed as its long-tails ("photocraft download", "nano banana 2.1 vs pro"). Queries that are themselves the names of other rising things ("gpt image 2.5" beside "nano banana 2.1") are kept as leads of their own.
- Screen: a second call scores how well the name answers each phrase, marks brands, and spots the names of other things; the loosely related ones are dropped. For Claude Haiku 5.5 it dropped all six proposed ("ai coding assistant", "github copilot alternative"); for SynthID Detector it kept all fi
Only the beginning is shown; read the rest in the repo