NetLens
БесплатноНе проверенAn MCP server that fetches any URL and returns clean Markdown, plus web search with real links.
Описание
An MCP server that fetches any URL and returns clean Markdown, plus web search with real links.
README
npm PyPI CI License: Apache 2.0 Python 3.10+
An MCP server for unobstructed web reading. It fetches any URL directly with
browser-like headers — past robots.txt and naive bot blocks — and returns the
full page as clean, ad-stripped Markdown, not a summary. Plus web search that
returns real links. Zero dependencies: pure Python standard library.
Built for AI Agents
AI agents constantly hit pages their built-in tools can't read. NetLens fixes the three usual reasons a fetch comes back empty or useless:
| Native web tools | NetLens |
|---|---|
Honor robots.txt, so crawler-disallowed pages return nothing |
Reads like the browser you'd open yourself — doesn't consult robots.txt |
Blocked by header/User-Agent bot filters (403/202 to non-browser clients) |
Sends real browser headers via the system curl; commonly turns 403 → 200 |
| Return a summary of the page | Returns the full page content as Markdown |
| Leave ads, cookie banners, nav, and related-links chrome in the output | Strips boilerplate locally so only the content reaches your context |
It does not try to defeat JavaScript/Cloudflare challenge pages or CAPTCHAs — that's out of scope by design. When a page is a hard block, the HTTP status is surfaced honestly rather than faked.
Installation
npm (via npx):
{
"mcpServers": {
"netlens": {
"command": "npx",
"args": ["-y", "netlens-mcp"]
}
}
}
PyPI (via uvx):
{
"mcpServers": {
"netlens": {
"command": "uvx",
"args": ["netlens-mcp"]
}
}
}
Add either to your MCP client config (e.g. .mcp.json for Claude Code), then
restart the session so the tools load.
Tools
web_search
Search the web and return real result links (title, URL, snippet), parsed locally —
links, not summaries. Follow up with web_fetch to read a result.
| Argument | Type | Description |
|---|---|---|
query |
string (required) | The search query |
limit |
integer | Optional cap; default returns the full first page (~10) |
engine |
string | auto (default), duckduckgo, bing, mojeek, searxng |
page |
integer | Result page, 1-based. SearXNG only |
time_range |
string | day, week, month, year. SearXNG only |
categories |
string | e.g. it, science, news. SearXNG only |
The result reports which engine answered and what happened to any that were skipped, so falling through to a different backend is visible rather than silent:
{
"query": "…",
"engine": "mojeek",
"results": [ … ],
"engines_skipped": [ { "engine": "duckduckgo", "outcome": "HTTP 202" } ]
}
Outcomes are observations, not conclusions — HTTP 202 is what the server sent;
whether that is throttling, changed markup or genuinely no matches cannot be
determined from the response. With SearXNG configured, direct answers,
infoboxes and suggestions appear alongside the results.
A search fetches a single result page (~10 results), returned in full by default so nothing at position 9/10 is dropped. There's no deep pagination — if the answer isn't in the first page, refine the query.
web_fetch
Fetch any page and return its full content as clean Markdown.
| Argument | Type | Description |
|---|---|---|
url |
string (required) | URL to fetch (scheme optional; https assumed) |
mode |
string | article (main content only, default), full (whole body), raw (unconverted HTML), outline (heading structure) |
section |
string | Return only this heading's content, plus anything nested under it |
links |
string | inline (default) keeps link targets; none keeps link text but drops URLs |
max_chars |
integer | Optional cap on returned characters (truncates with a note) |
Reading part of a long page
A large article can be tens of thousands of characters when you want one part of
it. mode="outline" returns its shape, and section returns just that piece —
on a large encyclopedia article that is 153,000 characters full, 1,000 as an
outline, and 7,400 for the section actually wanted.
web_fetch(url=…, mode="outline") → headings with each section's size
web_fetch(url=…, section="Gameplay") → that section and its subsections
On link-heavy pages the URLs themselves are a large share of the output — around 40%
of a big encyclopedia article — so links="none" roughly halves it when you only need
the prose. Links pointing back into the same page are always rendered as plain text.
If a page turns out to be a client-rendered shell, web_fetch says so rather than
returning an empty result as a success:
(note: Only 10 characters of readable text were found in 6,856 characters of HTML. This page appears to be rendered client-side by JavaScript…)
Workflow: web_search to find pages, then web_fetch to read them.
Search engines
Search is a pluggable, selectable registry. In auto mode NetLens tries engines in
order and returns the first with results, so a rate-limit/challenge page on one
falls through to the next.
| Engine | Notes |
|---|---|
duckduckgo |
Default; html.duckduckgo.com endpoint |
bing |
Automatic fallback |
mojeek |
Independent index; automatic fallback |
searxng |
Self-hosted/public SearXNG JSON API — set NETLENS_SEARXNG_URL |
Pick per call with the engine argument, or set a default with
NETLENS_SEARCH_ENGINE.
Configuration
| Environment Variable | Default | Description |
|---|---|---|
NETLENS_SEARCH_ENGINE |
auto |
Default search backend |
NETLENS_SEARXNG_URL |
— | SearXNG base URL, e.g. http://192.168.1.10:8888 |
NETLENS_SEARXNG_TIMEOUT |
8 |
Seconds before an unreachable SearXNG is skipped |
NETLENS_USER_AGENT |
Chrome UA | Override the request User-Agent |
NETLENS_MAX_BYTES |
10485760 |
Cap on a single response; larger ones are truncated |
NETLENS_CACHE_TTL |
300 |
Seconds to reuse a fetched page; 0 disables caching |
NETLENS_HOST_DELAY |
0.5 |
Minimum seconds between requests to the same host |
NETLENS_REQUEST_TIMEOUT |
120 |
Ceiling on a single tool call |
Self-hosted SearXNG
Point NETLENS_SEARXNG_URL at an instance with the JSON API enabled (search.formats
must include json in its settings.yml). It is then tried first in auto mode,
which removes the HTML scraping — and the rate limiting that comes with it — from the
common path.
Because it is tried first, it must fail fast when the box is off: the connect timeout is bounded separately so an unreachable instance is skipped in a few seconds rather than stalling every search, and the skip is reported in the result.
How it works
- Direct fetch. Requests go straight to the target site via the system
curl(better TLS/HTTP-2/compression, so it looks like a real browser), falling back tourllib. No third-party proxy or reader is involved. - Local conversion. HTML → Markdown happens in-process with a hand-rolled
html.parserconverter — headings, lists, links (relative URLs resolved), code blocks, and GFM tables with colspan/rowspan. - Content selection, not deletion. NetLens picks the page's main content region
— the HTML5 landmark (
<main>/<article>/[role=main]) when one exists, otherwise the subtree holding the most prose relative to its link density — and converts only that. Because it selects a winner rather than deleting anything that matches a name pattern, extraction cannot silently return an empty page. Nothing inspects CSS class or id names to decide what is content. - Pruning by measurement. Within that region, blocks that are overwhelmingly
link anchors (navboxes, tag clouds, "more from this site" grids) are dropped
based on their link density. Non-rendering elements (
<script>,<style>, …), explicitly hidden elements, and third-party ad-network slots (identified by vendor names likeadsbygoogle, which cannot collide with real prose) are removed outright. - Response charset is honored (from
Content-Typeor<meta>), so non-UTF-8 pages don't come back garbled.
Usage from the CLI
The server is also a plain script — handy for testing before a client loads it:
python -m netlens_mcp.server search "http caching best practices"
python -m netlens_mcp.server fetch https://example.com/article
python -m netlens_mcp.server full https://example.com # whole body
python -m netlens_mcp.server raw https://example.com # unconverted HTML
python -m netlens_mcp runs the stdio MCP server; python -m netlens_mcp.server <cmd> runs the CLI.
Development
pip install -e ".[dev]"
python -m pytest # run the test suite
ruff check . # lint
Requirements
- Python 3.10+ (and the system
curl, which ships with modern Windows/macOS/Linux; falls back tourllibif absent)
License
Установка NetLens
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/pzalutski-pixel/netlens-mcpFAQ
NetLens MCP бесплатный?
Да, NetLens MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для NetLens?
Нет, NetLens работает без API-ключей и переменных окружения.
NetLens — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить NetLens в Claude Desktop, Claude Code или Cursor?
Открой NetLens на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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