NetLens
# NetLens
[](https://www.npmjs.com/package/netlens-mcp)
[](https://pypi.org/project/netlens-mcp/)
[](https://github.com/pzalutski-pixel/netlens-mcp/actions/workflows/ci.yml)
[](LICENSE)
[](https://www.python.org/downloads/)
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):**
```json
{
"mcpServers": {
"netlens": {
"command": "npx",
"args": ["-y", "netlens-mcp"]
}
}
}
```
**PyPI (via uvx):**
```json
{
"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:
```json
{
"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 to
`urllib`. No third-party proxy or reader is involved.
- **Local conversion.** HTML → Markdown happens in-process with a hand-rolled
`html.parser` converter — 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 like `adsbygoogle`, which cannot collide with real prose) are
removed outright.
- **Response charset** is honored (from `Content-Type` or `<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:
```sh
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
```sh
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 to `urllib` if absent)
## License
Apache License 2.0 — see [LICENSE](LICENSE) and [NOTICE](NOTICE).
<!-- mcp-name: io.github.pzalutski-pixel/netlens -->
TDQS
Scored across 2 tools
web_search and web_fetch have clearly distinct purposes: one finds relevant URLs via search, the other retrieves full page content. The descriptions explicitly differentiate them and explain their complementary workflow, eliminating any ambiguity.
Both tools follow the consistent verb_noun pattern (web_search, web_fetch), making the naming predictable and easy to understand.
Only 2 tools is minimal, but for a narrow focus on web searching and fetching, it's plausible. However, it feels slightly thin for a general-purpose server, as many use cases might require additional tools.
The tool surface covers only search and fetch, lacking tools for pagination, saving results, or handling multiple search engines. This leaves obvious gaps for a comprehensive web research workflow, potentially causing agent failures.