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Local Web Search Server

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Offline-first MCP server for web search and content fetching. It requires no external API keys and uses local models for intent classification, optional cross-l

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About

Offline-first MCP server for web search and content fetching. It requires no external API keys and uses local models for intent classification, optional cross-lingual search, semantic re-ranking, and direct-answer extraction.

README

Offline-first MCP server for web search and content fetching. It requires no external API keys and uses local models for intent classification, optional cross-lingual search, semantic re-ranking, and extractive deep-search answers.

Features

  • Browser context pooling with a persistent Playwright browser instance.
  • Web search through configurable providers with health tracking and fallback.
  • Domain-filtered web search for targeted site queries.
  • HTTP-first page fetching with GitHub Raw and RSS fast paths plus Playwright fallback for rendered pages.
  • SSRF protection for fetch_content by blocking localhost and private network targets.
  • Token-bucket rate limiting for search and fetch tools.
  • Semantic cache backed by SQLite and sqlite-vec.
  • Optional cross-lingual query expansion with local Transformers.js models.
  • Clean Markdown extraction through Readability, JSDOM, and Turndown.

Requirements

  • Node.js 20 or newer.
  • npm.
  • Network access during installation for npm packages, Playwright Chromium, and first-run model downloads.

Installation

npm install
npm run build

The postinstall script downloads Playwright Chromium. On first use of model-backed features, Transformers.js downloads the required model files to the local Hugging Face cache. The first request that loads a model can be slow; later requests reuse the local cache. Keep ENABLE_CROSSLINGUAL=false for the lightest first run.

MCP Client Configuration

Add the built server to your MCP client config:

{
  "mcpServers": {
    "websearch": {
      "command": "node",
      "args": ["path/to/local-websearch-mcp/build/index.js"],
      "env": {
        "RATE_LIMIT_SEARCH_PER_MIN": "10",
        "RATE_LIMIT_FETCH_PER_MIN": "20",
        "SEARCH_PROVIDERS": "duckduckgo,bing",
        "ENABLE_CROSSLINGUAL": "false",
        "CACHE_DB_PATH": "websearch_cache.db"
      }
    }
  }
}

If the package is installed globally or through a package runner, use the binary entrypoint:

{
  "mcpServers": {
    "websearch": {
      "command": "local-websearch-mcp",
      "args": [],
      "env": {
        "SEARCH_PROVIDERS": "duckduckgo,bing",
        "ENABLE_CROSSLINGUAL": "false"
      }
    }
  }
}

For package-runner based clients, the command can be npx with args set to ["-y", "local-websearch-mcp"] once the package is available from the configured npm registry.

Tools

Tool Description
web_search Searches the web and returns ranked results. Set domain to restrict results to a site, or deep=true to fetch top result pages and extract a source-backed text answer.
fetch_content Fetches a URL and returns clean Markdown with content caching, charset handling, GitHub Raw fast paths, RSS feed extraction, and Playwright fallback.
server_status Returns provider availability, cache stats, browser state, feature flags, and uptime.

Use regular web_search for fast ranked links and snippets. Use domain for targeted searches such as react.dev or github.com. Use deep=true only when the client needs the server to fetch top pages and extract a likely answer from page text. The MCP client LLM remains responsible for final reasoning and summarization.

Search snippets with old detected dates include a short freshness warning so clients can treat stale sources carefully.

Example targeted search arguments:

{
  "query": "server components reference",
  "domain": "react.dev",
  "max_results": 5
}

fetch_content uses fast source-specific paths before opening a browser:

  • GitHub repository, blob, tree, and raw URLs are read from raw.githubusercontent.com when possible.
  • RSS or Atom feed URLs, plus common blog/news feed paths, are converted into a Markdown list of recent items.
  • Regular HTML pages still use HTTP-first Readability parsing with Playwright fallback.

Configuration

Variable Default Description
RATE_LIMIT_SEARCH_PER_MIN 10 Maximum web_search requests per minute. Invalid or non-positive values disable the limiter.
RATE_LIMIT_FETCH_PER_MIN 20 Maximum fetch_content requests per minute. Invalid or non-positive values disable the limiter.
SEARCH_PROVIDERS duckduckgo,bing Comma-separated provider order. Supported values: duckduckgo, bing, brave, google.
ENABLE_CROSSLINGUAL false Enables language detection and cross-lingual search support. This can trigger first-run local model downloads.
FETCH_WAIT_UNTIL networkidle Playwright wait strategy. Use domcontentloaded for faster rendered-page fallback.
FORCE_PLAYWRIGHT unset Set to true to skip HTTP-first fetch and always use Playwright.
CACHE_DB_PATH websearch_cache.db SQLite cache database path.
CACHE_CLEANUP_INTERVAL_HOURS 24 Interval for expired content cache cleanup.

Docker

npm run docker:build
npm run docker:up

Docker Compose stores the SQLite cache in a named volume mounted at /app/data and stores Hugging Face models in a separate named volume. The container sets CACHE_DB_PATH=/app/data/websearch_cache.db.

Development

npm run build
npm run typecheck
npm test
npm run smoke:mcp
npm audit --audit-level=moderate
npm pack --dry-run --json

npm run smoke:mcp starts the compiled server over stdio, verifies tools/list, calls server_status, and confirms that fetch_content blocks localhost.

Troubleshooting

  • If startup fails after install, run npx playwright install chromium.
  • If the first model-backed request is slow, wait for the Transformers.js model download to finish and retry.
  • If search returns no results, change SEARCH_PROVIDERS order or try a direct fetch_content URL.
  • If Docker cannot find Chromium, rebuild the image with npm run docker:build.
  • If cache files appear in the project root, set CACHE_DB_PATH to a dedicated data directory.

npm Packaging

The npm package includes only build/, README.md, LICENSE, and SECURITY.md. npm pack runs npm run build through prepack so the package contains compiled JavaScript instead of local planning files, tests, caches, or source-only artifacts.

Security

See SECURITY.md for reporting instructions and current dependency audit notes.

License

ISC

from github.com/kefyusuf/local-websearch-mcp

Install Local Web Search Server in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install local-web-search-mcp-server

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add local-web-search-mcp-server -- npx -y github:kefyusuf/local-websearch-mcp

FAQ

Is Local Web Search Server MCP free?

Yes, Local Web Search Server MCP is free — one-click install via Unyly at no cost.

Does Local Web Search Server need an API key?

No, Local Web Search Server runs without API keys or environment variables.

Is Local Web Search Server hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Local Web Search Server in Claude Desktop, Claude Code or Cursor?

Open Local Web Search Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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