Local Web Search MCP Server
Allows performing web searches using the Brave search engine as a configurable provider with health tracking and fallback.
Allows performing web searches using DuckDuckGo as a configurable provider with health tracking and fallback.
Allows performing web searches using Google as a configurable provider with health tracking and fallback.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Local Web Search MCP Serversearch for latest AI news and summarize"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Local Web Search MCP Server
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.
Related MCP server: webcrawl-mcp
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 buildThe 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 |
| Searches the web and returns ranked results. Set |
| Fetches a URL and returns clean Markdown with content caching, charset handling, GitHub Raw fast paths, RSS feed extraction, and Playwright fallback. |
| 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 |
|
| Maximum |
|
| Maximum |
|
| Comma-separated provider order. Supported values: |
|
| Enables language detection and cross-lingual search support. This can trigger first-run local model downloads. |
|
| Playwright wait strategy. Use |
| unset | Set to |
|
| SQLite cache database path. |
|
| Interval for expired content cache cleanup. |
Docker
npm run docker:build
npm run docker:upDocker 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 --jsonnpm 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
This server cannot be installed
Maintenance
Resources
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If you are the server author, to access and configure the admin panel.
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