Does Cursor have built-in web search?

Cursor's chat supports an @web reference that triggers a built-in search-and-fetch behavior. It is good for casual lookups during a coding session but is not configurable, does not expose its index, and is not designed for sustained agent workflows. For anything beyond that – structured search, large-scale extraction, repeatable agent loops – install MCP servers.

How do MCP servers work in Cursor?

Cursor reads MCP server definitions from its config file. Each server runs as a process (locally or remote) that exposes tools the agent can call. You add the server, restart, and the tools appear in Cursor's tool selector. The same MCP server you install in Cursor will also work in Claude Desktop, Claude Code, and other MCP-compatible clients without changes.

Which MCP server should I install first?

Firecrawl is the broadest single option – it covers search, page extraction, recursive crawling, and structured extraction in one server, and it handles JS-rendered pages. If you want a tighter, search-only experience, Tavily MCP is the cleaner choice. Most builders end up running both: Firecrawl for extraction and crawl, Tavily or Brave for search.

Can Cursor's agent drive a real browser?

Yes, through the Browserbase MCP server (or Hyperbrowser's). The MCP exposes browser-control tools – navigate, click, screenshot, extract – that Cursor's agent can call in a loop. This is the right path for tasks that need login, multi-step interaction, or rendering of anti-bot-protected sites. Plain HTTP fetches and search APIs cannot do these.

Is there a privacy concern when MCP servers access the web?

Yes, in two ways. First, the MCP server provider sees the queries Cursor sends it; choose a provider whose privacy posture you accept. Second, when the agent fetches a URL, that URL's host sees a request from the provider's infrastructure. For sensitive internal documentation, run the MCP server yourself rather than using a hosted instance, and configure URL allowlists.

Connect Cursor to Web Data – MCP Servers and Integration Tools (2026)

Cursor is the editor where the most builders run AI agents day to day, and giving those agents real web access transforms what they can do – from pulling current API documentation while you code to running multi-page research without leaving the editor. Cursor speaks the Model Context Protocol natively, which makes the integration story relatively clean: pick the MCP servers you want, configure them once, and every agent session has the tools available.

This guide covers the integration paths that exist inside Cursor, the MCP servers we recommend, and the patterns that hold up in production agent workflows.

What Cursor ships with

Cursor includes several built-in capabilities that touch the web before you install anything:

@web in chat triggers a built-in search-and-fetch behavior. Useful for ad-hoc lookups during a coding session ("look up the latest signature for this library function"). Not designed for sustained or programmatic use.
@docs points the agent at indexed documentation for libraries Cursor recognizes. Strong for popular libraries; spotty for newer or smaller ones.
Background agents can run autonomous tasks that include web access through whichever tools the agent has.
MCP support is the extension point. Anything you can express as an MCP server becomes available as agent tools.

For anything beyond casual @web lookups, the integration path is MCP. Search APIs and scraping providers all expose MCP servers now, and that is where the real configuration happens.

Path 1: a search MCP server

A search server gives the agent a tool that takes a query and returns ranked URLs with snippets. The agent decides when to call it; you do not have to write any glue code beyond the install.

Firecrawl publishes an MCP server that bundles search with page extraction and recursive crawl. This is the most common single recommendation – one server covers the majority of web-data needs an agent will have. Search returns URLs, extract returns clean Markdown for any URL, crawl walks a domain. Hosted and self-hosted versions both available.

Tavily ships an MCP server focused on LLM-optimized search. Smaller surface area than Firecrawl (search + extract, no recursive crawl) but cleaner ergonomics if all you need is grounding.

Brave Search API has an MCP server that hits Brave's independent index. Use it when you want results from a non-Google, non-Bing crawl – useful for redundancy and for queries where Brave's mix happens to be better.

Exa has an MCP server for neural-search workflows. Worth installing alongside a keyword-search server when your queries are conceptual rather than keyword-shaped.

The configuration pattern is the same for all of them: add the server URL and your API key to Cursor's MCP config, restart, and the tools appear.

Path 2: an extraction MCP server

Search returns URLs. Many tasks then need the actual content of those URLs – the README of a repo, the body of a docs page, the changelog of a library. Cursor's built-in @web does some of this, but it is not configurable and breaks on JS-rendered or protected pages.

For reliable extraction:

Firecrawl MCP covers extraction as part of its main server – one tool for fetch, one for crawl, one for structured extraction by schema. JS rendering is handled server-side.
Jina AI offers a simple Reader API that returns clean Markdown for any URL. Light, cheap, and easy to wrap as an MCP tool.
Diffbot has heavier structured extraction for specific page types (articles, products, discussions). Good for products that need normalized fields rather than raw Markdown.

The right choice depends on whether you need raw content (Firecrawl, Jina) or normalized structured data (Diffbot, Kadoa).

Path 3: a browser MCP server

Some tasks an agent in Cursor will face cannot be served by HTTP fetches: a logged-in dashboard you need data from, a multi-page form-flow, a site with aggressive anti-bot defenses. For these, install a browser-automation MCP server.

Browserbase is the production-grade managed browser provider with the most mature MCP. The agent can navigate, click, fill forms, take screenshots, and extract – all driven by tool calls Cursor's agent makes. Sessions are persistent, proxies are handled, fingerprinting is realistic.

Hyperbrowser is the price-competitive alternative with a similar feature set. Good choice for high-volume agent workloads.

Stagehand is the open-source middle layer that lets agents drive Playwright with natural-language instructions. You run Playwright (locally or via Browserbase) and Stagehand turns "click the cookie banner accept button" into the right Playwright call. Cursor's agent calls Stagehand through an MCP wrapper.

Browser MCP servers should be the last resort, not the default. Browser sessions are slower, more expensive, and more fragile than search-and-fetch flows. Use them when the task genuinely requires interaction; route everything else through search and extraction servers.

Path 4: site-specific or private MCP servers

Beyond general web data, MCP shines for narrow integrations: a server that wraps your internal docs, a server for your product's API, a server that hits your team's wiki. These are typically built once per organization and shared across the team's Cursor configs.

The pattern: write a small MCP server (the SDKs are minimal), expose your data through clean tool definitions, host it where Cursor can reach it, and add it to the team's standard MCP config. The same server then works in Claude Desktop, Claude Code, and any other MCP-compatible client – one integration, every client.

Recommended setup

For most developers, the practical baseline:

Firecrawl MCP for search, extract, and crawl. Single server, broad coverage.
Brave Search MCP as a complementary independent index for queries where Firecrawl's index misses.
Browserbase MCP for the small fraction of tasks that need a real browser.

Add Tavily MCP if you find yourself doing a lot of grounding-style search and want LLM-optimized results. Add Exa MCP if your queries are often conceptual rather than keyword-shaped.

The configuration is small enough to live in your dotfiles or a team-shared Cursor config. Once installed, Cursor's agent will pick the right tool for each request without further prompting in most cases. When it does not, a one-line nudge in the prompt ("use Firecrawl to crawl this site") is enough.