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PopNx MCPMCP servers for people who use AI · explained in plain words

gsearch

by RayenMlayehversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.RayenMlayeh/gsearch

Install

Overview

Description from the maker (original English)

Real Google Search for AI agents: real URLs, AI Overview and People also ask as typed JSON.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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: GSEARCH_PROXY

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: GSEARCH_PROXY, GSEARCH_DATA_LIMIT_MB

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": {
    "gsearch": {
      "command": "uvx",
      "args": [
        "gsearch-agent"
      ],
      "env": {
        "GSEARCH_PROXY": "your-value",
        "GSEARCH_DATA_LIMIT_MB": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add gsearch --env GSEARCH_PROXY=your-value --env GSEARCH_DATA_LIMIT_MB=your-value -- uvx gsearch-agent

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "gsearch": {
      "command": "uvx",
      "args": [
        "gsearch-agent"
      ],
      "env": {
        "GSEARCH_PROXY": "your-value",
        "GSEARCH_DATA_LIMIT_MB": "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.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "gsearch": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "gsearch-agent"
      ],
      "env": {
        "GSEARCH_PROXY": "your-value",
        "GSEARCH_DATA_LIMIT_MB": "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

  • GSEARCH_PROXY secret env
    Optional proxies in any format (host:port:user:pass, user:pass@host:port, socks5://...), or a file listing them. Unset: your own IP, at most 20 searches an hour.
  • GSEARCH_DATA_LIMIT_MB env
    Optional hard limit on proxy data, in MB, counted across restarts.

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 RayenMlayeh, 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 5675 servers in this category
  • Published to the registry more recently than 67% of the other 5675 servers in this category
  • Basic checks equal to or better than 100% of the other 5675 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 gsearch 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: GSEARCH_PROXY

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 (0.1.0) reached the registry 20 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:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

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★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

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.

Quick start · How it compares · What you get · How it works · Proxies · Performance · FAQ

Real Google Search for your AI agent. No API key. Self-hosted. Over MCP.

Your agent calls google_search and gets Google's actual results page as typed JSON: every result with its title, snippet and site, plus Google's answer boxes (sports results, top stories, videos), the AI Overview, People also ask and related searches. A real Firefox (Camoufox) runs Google's page as it is, on your own IP or through any proxy you already have.

Why: plain HTTP gets a JavaScript wall, automated Chrome got a CAPTCHA 2 out of 2 times in our test, and Google's official Custom Search API closes on 1 January 2027. Other search MCP servers either aren't Google's index (Brave, Tavily, Exa, DuckDuckGo) or charge per query (SerpApi, Bright Data).

A real, live call on a home IP with a warm session, rendered from the recorded result; the wait shown is the measured time. MP4

🚀 Quick start

uv tool install gsearch-agent                         # or: pipx install gsearch-agent

gsearch setup # downloads the browser once (~1 GB), prints your MCP config claude mcp add gsearch --scope user -- gsearch-mcp # or any MCP client, below

Then just ask: *"Search Google for what asyncio is and give me the top three links"*, *"What do people also ask about asyncio?"*, *"Find asyncio pages on python.org from the past year."*, *"Search for the asyncio docs and summarize the first result."*

Without a proxy, gsearch uses your own IP, at most 20 searches an hour. For more, add a proxy in any format:

claude mcp add gsearch --scope user -e GSEARCH_PROXY="gate.example.com:7000:user-sid-{sid}:password" -e GSEARCH_DATA_LIMIT_MB=1000 -- gsearch-mcp

Claude Desktop, Cursor and other MCP clients

gsearch setup prints this block with the full path of gsearch-mcp filled in. Use the full path if your client doesn't find the command.

{

"mcpServers": { "gsearch": { "command": "gsearch-mcp", "env": { "GSEARCH_PROXY": "optional, any format", "GSEARCH_DATA_LIMIT_MB": "1000" } } } }

Claude Desktop: claude_desktop_config.json. Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project.

No install, with uv: use "command": "uvx", "args": ["gsearch-agent"], after fetching the browser once with uvx --from gsearch-agent gsearch setup.

Settings in a file: put them in a .env (see .env.example) and set GSEARCH_ENV_FILE to its absolute path instead.

[!NOTE]

Automated access to Google Search may breach Google's Terms of Service. Read

Legal and responsible use before running live searches.

🆚 How it compares

The same comparison as text

gsearchSerpApi, Bright DataBrave, Tavily, ExaDuckDuckGo, SearXNG MCPsPlaywright + Chromium Google MCPs
Google's own results✅✅❌ their own index❌ / depends on the instance✅
API key or accountnonerequiredrequirednonenone
Costfree (+ your proxy, optional)per queryusage-based plansfreefree
Runs on your machine✅❌ hosted❌ hosted✅✅
AI Overview, People also ask✅✅ (SerpApi)❌❌varies
Google's redirect links resolved to real URLs✅✅n/an/avaries
Blocks reported as errors with a retry time✅n/an/avariesvaries
Terms-of-Service risk is yoursyes (Legal)the provider'snolowyes

"Varies": we did not test those projects. Our only Chromium measurement is F-0001: Playwright Chrome was sent to a CAPTCHA 2 of 2 times on an IP where gsearch was served. Read Legal before running live searches.

Measured in October and November 2026: F-0016 , F-0014 , F-0006 , F-0011 , F-0012 , F-0001 ; 14 s and 0.6 MB on a clean proxy IP: F-0015 . Flagged proxy pools are slower: see Performance .

✨ Why gsearch

Google's official search API is closed to new customers and shuts down on 1 January 2027 (F-0005). gsearch is built for AI agents instead:

  • 🦊 A real browser, not a scraper. Camoufox, a hardened Firefox, runs Google's page as it is, with a real-device fingerprint and a locale that matches its IP.
  • 🔗 Real pages. Google hides result links behind /goto redirects. fetch_page follows one to the page it points to when the agent reads it; resolve_links resolves them all up front instead, and read_top returns the top pages' text with the results, in one call.
  • 🤖 Built for agents. One MCP server: search, page reading and status, typed JSON. Blocks come back as clear errors with retry_after_s, never as empty results, and every string is flagged as untrusted web content.
  • 🌍 Any proxy, any format. Rotating residential, static VPS or datacenter lists, HTTP, HTTPS or SOCKS5, in any common layout. Every byte is counted, with a hard data limit.
  • 🎯 Nothing to tune. Two settings. Everything else is fixed to what worked best in testing.
  • 📊 Honest numbers. Every claim in this README links to a write-up of how it was measured.

📦 What your agent gets

Real output from a saved results page (offline demo mode, where url stays null; a live search fills it):

A block is never an empty list. It comes back as an error that says what happened and how long to wait:

Every field explained

FieldWhat it holds
organic[].urlThe real destination of each result, with resolve_links; otherwise null, and link goes to fetch_page.
organic[].title, snippet, date, domain, display_urlWhat the result shows, as text. link keeps the exact link Google served.
organic[].sitelinks, source_metaA result's sub-links, and what Google shows instead of a URL on forum and video results (2 years ago).
ai_overviewThe AI Overview text and its sources, when Google shows one.
people_also_ask, related_searchesThe questions and related queries on the page.
adsText ads, when the market serves them.
paginationCurrent page and next page. Ask for more results with page.
meta.untrusted_contentAlways true: every string is third-party web text (see prompt injection).

Error codes: captcha, soft_block, hard_block, consent_wall, js_gate, rate_limited, parse_drift, network, proxy, backend_unavailable, invalid_request. The full JSON Schema is in serp.schema.json.

🔍 How it works

  • Like a person. A visible window, because headless sessions were challenged far more often on proxy IPs (F-0015). The query is typed into the address bar. WebRTC is off, so your own IP can't leak around the proxy.
  • Never forged. gsearch never generates or alters Google's tokens: the browser runs the page as it is.
  • Cheap links. Links are resolved only when asked, on the same IP without the search session's cookies, with a TLS fingerprint matching the browser's (F-0011, F-0013).
  • Runs on servers. On a Linux machine without a screen, the browser uses a virtual display automatically (sudo apt install xvfb).

🌍 Proxies

# rotating residential: {sid}, or your provider's sid-…, session-…, sessid-… part, gives a new IP per search

GSEARCH_PROXY=gate.example.com:7000:user-country-us-sid-{sid}:password

static proxies (VPS, datacenter, ISP): one or many, separated by commas, spaces or new lines

GSEARCH_PROXY=socks5://user:password@203.0.113.10:1080, http://203.0.113.11:3128

or a file with one proxy per line

GSEARCH_PROXY=/path/to/proxies.txt

  • Rotating: a new IP and a new browser for every search, up to 3 at once. A blocked IP is replaced, up to 4 IPs per search. country-xx or cc-xx in the login is checked, and exits elsewhere are dropped.
  • Static: each IP keeps one warm session, and the IPs take turns. Each IP has its own budget (20 searches

Only the beginning is shown; read the rest in the repo

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