Skip to main content

A maximum fault-tolerant, stealth-enabled MCP server for web searching and fetching.

Project description

SearchFetch (MCP Server)

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Features

  • Stealth Engine: Powered by CloakBrowser C++ patches + humanize logic. The browser renders and moves like a real user, reducing bot-detection scores.
  • Fault Tolerance: Auto-healing browser sessions, grace-period timeouts for SPAs, and network-level blocking of tracking scripts and media.
  • Token-Optimized Output: Strips base64 images, SVGs, scripts, and inline styles from the DOM before Markdown conversion.
  • Dual Runtime: Natively supports zero-install execution via both Python (uvx) and Node.js (npx).
  • Template-Driven Extraction: Structured extraction via shared JSON templates (GitHub, npm, PyPI, crates.io, docs pages, Docker Hub, and more). Supports custom inline templates.

Usage & Installation

You do not need to install this repository manually. Configure your agent to use the zero-install commands npx or uvx.

Claude Desktop Configuration

Option A: Python (uvx - Recommended)

{
  "mcpServers": {
    "searchfetch": {
      "command": "uvx",
      "args": ["searchfetch"]
    }
  }
}

Option B: Node.js (npx)

{
  "mcpServers": {
    "searchfetch": {
      "command": "npx",
      "args": ["-y", "searchfetch"]
    }
  }
}

Cursor / IDE Configuration

Add via the MCP panel in Cursor settings:

  • Type: command
  • Command: uvx searchfetch (or npx -y searchfetch)

Available Tools

1. websearch

Search the web through the template pipeline. DuckDuckGo and Google are built-in; custom search templates can be selected by name.

Parameter Type Default Description
query string required The search query string.
engine string "duckduckgo" "duckduckgo", "google", or a custom search template name.
max_results number 10 Maximum number of results to return.
region string/null null Region/language code (e.g. "us-en", "de-de"). DDG maps directly; Google maps to gl/hl.
safe_search boolean/null null Enable safe search. null uses the template default.
block_media boolean true Block images, media, and fonts at the network layer.

2. webfetch

Fetch a page with the stealth browser and extract structured Markdown using a template. Falls back to generic Markdown extraction for unknown pages.

Parameter Type Default Description
url string required Full URL (must start with http/https).
template string "auto" "auto", a built-in name, or inline JSON template.
start_index number 0 Character offset for pagination.
max_length number 10000 Maximum characters per request.
block_media boolean true Block images, videos, and fonts at the network layer.

Template extraction supports text, markdown, attribute, and html formats; nested children; repeated sections; URL-decoding transforms; per-template cookies; and per-template resource blocking.

Built-in templates live in templates/*.json and are shared by the Node.js and Python implementations.

Available page templates (auto-detected by URL or selectable by name): wikipedia, reddit, mdn-web-docs, gitlab, youtube, devto, go-pkg, javadoc, github-repo, github-issue, npm-package, pypi-package, crates-package, docker-hub, docs-rs, docs-page

raw — special template that applies minimal filtering and returns full body content as markdown. Use when you need the complete page without template-specific extraction.


Local Development

# Install dependencies
npm install
pip install -e ".[dev]"

# Run tests
npm test                # runs all tests (JS + Python)
npm run test:js         # Node.js unit tests (built-in test runner)
npm run test:py         # Python unit tests (pytest)

# Lint
npm run lint            # runs all linters
npm run lint:js         # ESLint
npm run lint:py         # Ruff

# Format
npm run format          # auto-format all source files
npm run format:check    # check formatting without changes

# MCP inspector (for manual testing)
npm run inspector-js    # test with MCP Inspector (Node.js)
npm run inspector-py    # test with MCP Inspector (Python)

Architecture

This repository uses a flat dual-manifest structure (package.json and pyproject.toml in the root). Both runtimes (index.js for Node, server.py for Python) share the same templates/*.json files and maintain feature parity.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

searchfetch-3.3.0.tar.gz (19.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

searchfetch-3.3.0-py3-none-any.whl (22.1 kB view details)

Uploaded Python 3

File details

Details for the file searchfetch-3.3.0.tar.gz.

File metadata

  • Download URL: searchfetch-3.3.0.tar.gz
  • Upload date:
  • Size: 19.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for searchfetch-3.3.0.tar.gz
Algorithm Hash digest
SHA256 cfd63305dc55421065053c9c380fab69ea1b6c007056dc79b2f44e382f9841b5
MD5 9fe4e1e46a76dead6043ded171d2f6eb
BLAKE2b-256 9eae190585dfb59e280dfd15fec99a48bbe9010aef0c77a87a908acda6d12833

See more details on using hashes here.

Provenance

The following attestation bundles were made for searchfetch-3.3.0.tar.gz:

Publisher: publish.yml on maxylev/searchfetch

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file searchfetch-3.3.0-py3-none-any.whl.

File metadata

  • Download URL: searchfetch-3.3.0-py3-none-any.whl
  • Upload date:
  • Size: 22.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for searchfetch-3.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 d91dc3aa49f03b9d2cc06a8949dfd09282ab97d3d417ecd11cdd3fd927553d30
MD5 33f719dc2d91fc5ea2745df43f0334b5
BLAKE2b-256 c317cc3b8f0ba7d7fa1b59df4fe6087d1e944f5526713ce48342a3883009f45b

See more details on using hashes here.

Provenance

The following attestation bundles were made for searchfetch-3.3.0-py3-none-any.whl:

Publisher: publish.yml on maxylev/searchfetch

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page