Agent-optimized MCP server for extracting clean, structured content from web pages - built specifically for AI agents that need
from $19/mo
Nothing to run from here
Naver Search is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
Open Installation—
p95 latency
—
call success
local
runs on your machine
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calls last 7d
What it does
Naver Search MCP Server
Quickstart
# 1 — run it from where its publisher ships it
npx -y @isnow890/naver-search-mcp
# 2 — ask your agent something
> Naver Search MCP Server
Naver Search is free: there is no plan to choose, no cap to set and nothing that can bill you.
Publishernot claimed
ISAll 1 server
@isnow8901 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. This one runs on your machine: your client starts Naver Search as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. It is scanned, signed and pinned to the version you choose — read the surface before you approve it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. Claude Code registers it in one command.
claude mcp add naver-search-mcp -- npx -y @isnow890/naver-search-mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free to install, and it runs from its publisher’s own package: no account, no key, no card.
What it writes
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
What you approve
18 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
🌐 Search Korean web documents and general content. Comprehensive search across Korean websites and online content. Find articles, information, and documents from various Korean sources. (네이버 웹문서 검색 - 한국 웹사이트 종합 검색)
Takes no parameters.
Example callreturns →
📰 Search latest Korean news articles from major outlets. Perfect for current events, breaking news, and recent developments. Covers politics, economy, society, and international news. (네이버 뉴스 검색 - 최신 뉴스와 시사 정보)
Takes no parameters.
Example callreturns →
✍️ Search personal blogs and reviews for authentic user experiences. Great for product reviews, personal stories, detailed tutorials, and real user opinions. Find genuine Korean perspectives. (네이버 블로그 검색 - 실제 사용자 후기와 개인적 경험)
Takes no parameters.
Example callreturns →
🖼️ Search for images with Korean context and relevance. Find visual content, infographics, charts, and photos related to your search terms. Great for visual research and content discovery. (네이버 이미지 검색 - 시각적 컨텐츠 발견)
Takes no parameters.
Example callreturns →
❓ Search Naver KnowledgeiN for Q&A and community-driven answers. Find solutions to problems, get expert advice, and discover community insights on various topics. (네이버 지식iN 검색 - 질문과 답변, 커뮤니티 지식)
Takes no parameters.
Example callreturns →
📖 Search Naver Encyclopedia for authoritative knowledge and definitions. Best for academic research, getting reliable information, and understanding Korean concepts and terminology. (네이버 지식백과 검색 - 신뢰할 수 있는 정보와 정의)
Takes no parameters.
Example callreturns →
📍 Search for local businesses, restaurants, and places in Korea. Find location information, reviews, contact details, and business hours for Korean establishments. (네이버 지역 검색 - 지역 업체와 장소 정보)
Takes no parameters.
Example callreturns →
☕ Search Naver Cafe articles for community discussions and specialized content. Find niche communities, hobby groups, and specialized discussions on various topics. (네이버 카페글 검색 - 커뮤니티 토론과 전문 정보)
Takes no parameters.
Example callreturns →
📊 Analyze search keyword trends over time using Naver DataLab. Track popularity changes, seasonal patterns, and compare multiple keywords. Perfect for market research and trend analysis. (네이버 데이터랩 검색어 트렌드 분석)
Takes no parameters.
Example callreturns →
🛍️ STEP 2: Analyze shopping category trends over time. Use find_category first to get category codes. BUSINESS CASES: Market size analysis, seasonal trend identification, category performance comparison. EXAMPLE: Compare
Takes no parameters.
Example callreturns →
📱 Analyze shopping trends by device (PC vs Mobile). Use find_category first. BUSINESS CASES: Mobile commerce strategy, responsive design priority, device-specific campaigns. EXAMPLE:
Takes no parameters.
Example callreturns →
👥 Analyze shopping trends by gender (Male vs Female). Use find_category first. BUSINESS CASES: Gender-targeted marketing, product positioning, demographic analysis. EXAMPLE:
Takes no parameters.
Example callreturns →
👶👦👨👴 Analyze shopping trends by age groups (10s, 20s, 30s, 40s, 50s, 60s+). Use find_category first. BUSINESS CASES: Age-targeted products, generational preferences, lifecycle marketing. EXAMPLE:
Takes no parameters.
Example callreturns →
🔍 Compare specific keywords within a shopping category. Use find_category first. BUSINESS CASES: Product keyword optimization, competitor analysis, search trend identification. EXAMPLE: Within
Takes no parameters.
Example callreturns →
📱🔍 Analyze keyword performance by device within shopping categories. Use find_category first to get category codes. Perfect for understanding mobile vs desktop shopping behavior for specific products. (쇼핑 키워드 기기별 트렌드 - 먼저 find_category 도구로 카테고리 코드를 찾으세요)
Takes no parameters.
Example callreturns →
👥🔍 Analyze keyword performance by gender within shopping categories. Use find_category first to get category codes. Essential for gender-targeted marketing and product positioning strategies. (쇼핑 키워드 성별 트렌드 - 먼저 find_category 도구로 카테고리 코드를 찾으세요)
Takes no parameters.
Example callreturns →
👶👦👨👴🔍 Analyze keyword performance by age groups within shopping categories. Use find_category first to get category codes. Perfect for age-targeted marketing and understanding generational shopping preferences. (쇼핑 키워드 연령별 트렌드 - 먼저 find_category 도구로 카테고리 코드를 찾으세요)
Takes no parameters.
Example callreturns →
🚀 STEP 1: Find shopping categories with Korean search terms. Search in KOREAN (패션, 화장품, 가전제품, etc.) to find category codes needed for datalab tools. Smart fuzzy matching finds similar categories even with partial matches. (카테고리 검색: 한국어로 검색하여 데이터랩 분석에 필요한 카테고리 코드를 찾아주는 필수 도구)
Takes no parameters.
Example callreturns →
Freeyour plan
$0 forever
- Every tool, no call limit
- No card, no account needed
- Source published under a licence you can read
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because nothing bills
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable. Naver Search costs nothing to install and nothing to call, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: $8.42
$16.58 left
ATrust score 95 / 100
Release 1.0.50 · scanned 25 Aug 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score95
Findings1 threat · 0 capability
Capabilitymoderate
Coveragesource
Verificationnone
Surface digest0c06a2b1bf0edda14b99262ea045ab4e18ba4b860c678b64fbd5d53006937aac
Score vectorthreat 100 → client 95
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | moderate | capability blast radius (moderate) — client exposure if the model is manipulated | −3 |
| verification-discount | none | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read | −2 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (18 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| search_webkr | untrusted-input | |
| search_news | no tags | |
| search_blog | no tags | |
| search_image | no tags | |
| search_kin | no tags | |
| search_encyc | no tags | |
| search_local | no tags | |
| search_cafearticle | no tags | |
| datalab_search | no tags | |
| datalab_shopping_category | no tags | |
| datalab_shopping_by_device | no tags | |
| datalab_shopping_by_gender | no tags | |
| datalab_shopping_by_age | no tags | |
| datalab_shopping_keywords | no tags | |
| datalab_shopping_keyword_by_device | no tags | |
| datalab_shopping_keyword_by_gender | no tags | |
| datalab_shopping_keyword_by_age | no tags | |
| find_category | no tags |
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digest0c06a2b1bf0edda1
Scanned2026-08-25
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
Pinned to 1.0.50 — the install command below asks for that release. A pin is part of an install, so it is kept for this visit and written down when you install.
1.0.50
undated
installedNo release note was published with this version.
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no reviews yet
Reviews are earned
Only accounts with at least 50 real tool calls against this server in the last 90 days can post. Ratings are weighted by how much the reviewer actually uses it, and publishers can reply once per review.
Reviews are earned
Writing one takes an account with at least 50 real tool calls against Naver Search in the last 90 days. That is the whole gate — there is no other way to post, which is why the counts beside each review are worth reading.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes an account with 50 real tool calls against it.