Local Web Search Server
FreeNot checkedOffline-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
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_contentby 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.comwhen 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_PROVIDERSorder or try a directfetch_contentURL. - If Docker cannot find Chromium, rebuild the image with
npm run docker:build. - If cache files appear in the project root, set
CACHE_DB_PATHto 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
Install Local Web Search Server in Claude Desktop, Claude Code & Cursor
unyly install local-web-search-mcp-serverInstalls 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-mcpFAQ
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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