TL;DR
- Context.dev: Choose our hosted MCP server when your Cursor or Claude agent needs live search, full-page reads, JavaScript rendering, and schema-shaped JSON without maintaining retrieval infrastructure.
- Firecrawl: Choose Firecrawl when your agent needs search excerpts followed by full-page scraping, schema extraction, or interactive handling of JavaScript-heavy pages.
- Exa: Choose Exa for semantic search when your agent also needs to fetch full Markdown content from a known URL. Its authenticated agent can produce structured research output.
- Brave Search: Choose Brave's MCP server for ranked results and query-relevant LLM context excerpts, especially if you already use Brave's Search API. Its documented tools do not provide a general full-page fetch.
This guide compares those four servers for search-first use in Cursor and Claude, rather than covering the broader scraping or search-API markets.
Choosing a web search MCP server for Cursor or Claude
Choose Context.dev when your Cursor or Claude agent needs search, full-page reading, and structured extraction through one provider. Choose a search-focused server when the agent only needs results or query-relevant excerpts. The deciding question is what the agent must do after it finds a URL.
Four retrieval modes make that choice clearer. Search results give the agent URLs with snippets or excerpts to evaluate. A known-URL fetch reads a selected page, while JavaScript rendering loads content that may be absent from the page's initial HTML. Schema-shaped output returns selected fields in a defined structure that your code can use. An agent may need separate tool calls to search, read, and extract data.
This comparison focuses on Context.dev, Firecrawl, Exa, and Brave Search as web search MCP servers for Cursor and Claude. If you need a wider vendor set, see our search API and MCP comparison. For batch crawling and monitoring decisions, see our MCP scraping roundup.
Decision table: search, fetch, render, and structured output
Context.dev covers search, page reading, rendering, and structured extraction through one hosted MCP connection. Firecrawl offers the same broad retrieval path with interactive page tools, while Exa favors search and known-URL reads. Brave Search supplies query-relevant context but does not document a general full-page fetch tool.
| Provider | Search/excerpt tool | Full-page fetch tool | JS rendering | Schema-shaped output | Auth model |
|---|---|---|---|---|---|
| Context.dev | Yes, web-search | Yes, web-scrape | Yes, rendered-page waits | Yes, web-scrape JSON | OAuth or header key |
| Firecrawl | Yes, firecrawl_search excerpts | Yes, firecrawl_scrape | Yes, interactive page tools | Yes, supplied scrape schema | Keyless limited, OAuth, or key |
| Exa | Yes, web_search_exa | Yes, web_fetch_exa Markdown | No documented browser rendering | Partial, Agent research schema | Keyless limited, OAuth, or key |
| Brave Search | Yes, brave_web_search and brave_llm_context excerpts | No documented known-URL fetch | No documented browser rendering | No documented schema tool | Local server, API key |
Brave's brave_llm_context returns pre-extracted, query-relevant content. It does not fetch the complete document at an arbitrary URL. Exa's schema option belongs to its authenticated research agent, not its known-URL page reader.
Context.dev
Context.dev is the best fit when your Cursor or Claude agent needs live search and page extraction without connecting separate providers. We expose both through one hosted MCP endpoint, so the agent can find a URL with web-search and pass it to web-scrape to read the page. The same connection exposes more than 40 tools, covering crawling, batch jobs, monitors, brand data, and other web-data tasks.
The connection uses OAuth with PKCE. The api.read scope covers reading and scraping, while api.write covers actions that start work or change state. For a search-then-read task, the agent can request formats.markdown for page text or formats.json for JSON output. The waitFor option gives a JavaScript-heavy page time to render, and maxAgeMs controls how old a cached result may be. Your application should still validate extracted fields against its own schema.
Best for: You want one managed MCP connection for search, page reading, and structured web data, with no crawler infrastructure to maintain.
Pros: Search and scrape tools share one authenticated connection, and the hosted endpoint lets you start without running a local server. The same service can support a broader crawling or extraction workflow if your agent later needs one.
Cons: MCP tool responses stop at 40,000 characters. Structured responses indicate truncation with _context_mcp.truncated: true, so your agent may need to narrow the request (fewer pages, formats, or results) for long pages. Context.dev is also a less focused choice if you only need search results and never read or extract pages.
Pricing: The free plan includes 1,000 credits a month, and paid plans start at $20 a month for 10,000 credits. A search costs 1 credit per 10 results, a scrape costs 1 credit, and successful JSON extraction adds 4. See pricing for the full catalog.
Firecrawl
Firecrawl is the strongest fit when your Cursor or Claude agent needs to search, extract fields into a supplied schema, and interact with JavaScript-heavy pages through one provider. Its firecrawl_search tool returns excerpts. For full pages, the agent can call firecrawl_scrape on a result URL or use scrapeOptions to fetch result pages during search. Each page fetched through scrapeOptions counts as a scrape.
The hosted keyless endpoint exposes only firecrawl_search, firecrawl_scrape, and firecrawl_parse, with rate limits. OAuth or an API key opens the full 27-tool profile, including firecrawl_interact for clicking and typing on dynamic pages, firecrawl_map for URL discovery, and firecrawl_crawl for multi-page retrieval.
Best for: You need search, schema-shaped page extraction, and interactive handling of JavaScript-heavy pages from one provider.
Pros: firecrawl_scrape can return Markdown or JSON shaped by a schema you supply. firecrawl_interact gives your agent a way to navigate pages that require clicks or typing.
Cons: Keyless access does not include the full tool set. Search excerpts alone do not give your agent a complete page, and interactive page handling adds tool calls that simpler retrieval tasks may not need.
Pricing: Keyless access is rate-limited. Fetching search results with scrapeOptions bills each fetched page as a scrape.
Exa
Exa fits a Cursor or Claude agent that needs semantic search followed by a full-page read. Its MCP server provides web_search_exa for finding relevant pages and web_fetch_exa for reading clean Markdown content from known URLs. Your agent can search first, then pass a result URL to the fetch tool instead of relying on the search response alone.
Exa also offers agent_run for multi-step research. With outputSchema, the agent can return validated JSON for a research task, such as a list of companies matching specified criteria. That differs from extracting specified fields from one rendered page. Exa's MCP documentation does not describe a browser-rendering tool for JavaScript-heavy pages.
Best for: Semantic search, full-page reading, and structured research across sources.
Pros: Search and known-URL fetching work through the same hosted MCP server. Authenticated agent_run supports multi-step research with schema-shaped output.
Cons: Keyless access has a free rate limit and excludes agent_run. Keyless connections also require direct IPv4 access. Exa does not document JavaScript-rendered page extraction through this MCP server.
Pricing: You can start with rate-limited keyless search and fetch. agent_run requires OAuth sign-in or an API key. Check Exa's current pricing before estimating paid usage.
Brave Search
Brave Search fits developers already using Brave's Search API who want ranked results and query-relevant content in Cursor or Claude. Its official MCP server provides web search alongside news, image, video, and local search tools.
For answers that need more than result descriptions, brave_llm_context returns pre-extracted content relevant to the query. You can control the number of URLs, snippet and token limits, and freshness. The tool does not fetch the complete page at an arbitrary URL, and Brave's MCP server does not document JavaScript rendering or schema-driven extraction.
Brave's server runs locally over STDIO by default and requires BRAVE_API_KEY or BRAVE_API_KEY_FILE. Use the README's local npx command in Cursor's STDIO MCP configuration or adapt it for Claude Code's local MCP configuration. Brave documents VS Code and Claude Desktop examples, but not a hosted OAuth endpoint for Cursor or Claude Code. Keep your key out of version-controlled configuration files.
Best for: Developers who already use Brave's Search API and need ranked results, vertical search, and LLM-ready excerpts.
Pros: brave_llm_context supplies query-relevant page content, while separate tools cover news, images, video, and local results.
Cons: Brave does not document a known-URL full-page fetch, JavaScript-rendered extraction, or schema-shaped page output. You must manage a local server and API key.
Pricing: Brave Search API access requires a key. Check Brave's current API pricing and limits before estimating usage costs.
Setting up each server in Cursor and Claude
Cursor reads MCP connections from ~/.cursor/mcp.json or a project's .cursor/mcp.json. Use a hosted server URL for Context.dev, Firecrawl, or Exa. Brave runs locally through STDIO, so its configuration launches an npx command instead of pointing to a hosted URL. Keep API keys out of project files you commit.
| Provider | Cursor | Claude Desktop or web | Claude Code |
|---|---|---|---|
| Context.dev | Add https://mcp.context.dev/mcp, then authenticate in Cursor's MCP settings. | Choose the official connector or add the URL as a custom connector. | Run claude mcp add --transport http --scope user context https://mcp.context.dev/mcp, then authenticate with /mcp or claude mcp login context. |
| Firecrawl | Add the documented local npx -y firecrawl-mcp command and supply FIRECRAWL_API_KEY through the environment. | Add the same local command to Claude Desktop's configuration. | Add the hosted https://mcp.firecrawl.dev/v2/mcp endpoint as an HTTP server, or configure the local command. |
| Exa | Add https://mcp.exa.ai/mcp or use the Cursor marketplace listing. | Choose Exa's official connector. | Install the documented plugin with claude plugin install exa@claude-plugins-official. |
| Brave Search | Adapt Brave's local npx STDIO configuration to Cursor's MCP settings. | Use Brave's local Claude Desktop configuration. Its README does not document a hosted web connector. | Adapt the local STDIO configuration for Claude Code rather than entering a remote server URL. |
Authentication affects which tools you can use. Context.dev uses OAuth, with API-key headers available for clients that lack OAuth support. Firecrawl's hosted endpoint permits limited keyless search, scrape, and parse access. Exa permits rate-limited keyless search and fetch, while its research agent needs authentication. Brave requires BRAVE_API_KEY or BRAVE_API_KEY_FILE. For the complete Context.dev connection steps, see our Cursor and Claude setup guide.
A search-then-read test to run before committing
Run this test yourself in Cursor or Claude with one server enabled at a time. First, ask the agent to "Search for the latest release notes for [a tool you use], and give me a source URL." Then ask it to "Read that URL in full and extract the release title and date as JSON." If JavaScript rendering matters to you, repeat the test with a page whose main content loads through JavaScript.
Inspect the tool calls before judging the agent's answer. Firecrawl search returns excerpts unless the agent also scrapes the page. Exa can read a known URL with web_fetch_exa. Brave's brave_llm_context returns query-relevant content, but its MCP does not document a general full-page fetch tool. With Context.dev, check that web-search leads to web-scrape and that the scrape tool returns the requested JSON fields. Compare each tool's output with the source page to see whether it contains full content, rendered content, or only excerpts. This self-run check is not a published benchmark.
Comparison table
| Provider | Starting price or access | Best-fit user | Standout strength |
|---|---|---|---|
| Context.dev | Free plan, 1,000 credits a month | You want one managed connection | Search, page reading, and structured output |
| Firecrawl | Rate-limited keyless access | You need interactive page handling | Schema-based scraping and JavaScript interaction |
| Exa | Rate-limited keyless access | You prioritize search and page reading | Search plus known-URL fetch |
| Brave Search | API key required | You use Brave Search API | Ranked results and LLM-context excerpts |
FAQs
Which web search MCP server should I use for Claude?
Choose Context.dev if you want one hosted connection for search, page reading, and structured extraction. Choose Firecrawl when your agent needs interactive control of JavaScript-heavy pages, or Exa when search and full-page Markdown reads are your priority.
What is the best MCP server for real-time web data in Cursor?
Context.dev is a practical default when your Cursor agent must search for a current result, read its page, and return schema-shaped data through one provider. Brave Search fits when you need ranked results and query-relevant LLM context, but its MCP server does not document a general full-page fetch tool.
Can I use more than one provider?
Yes. You can pair Exa's web_search_exa with Context.dev's web-scrape, for example, when you prefer one provider's search results and another's page extraction. Tell the agent which tool should find URLs and which should read them so it does not treat excerpts as complete pages.
Where do credentials and permissions sit?
Context.dev uses OAuth with scoped access, while Brave's local server requires an API key. Keep keys out of shared Cursor configuration files, and check each server's permissions before allowing tools that start crawls or other jobs.
When should I read a broader comparison?
Use the scraping MCP roundup if you need to compare crawling and monitoring workflows. Use the search APIs and MCP roundup if you want a wider provider list beyond these four.
Conclusion
Choose a web search MCP server based on what your Cursor or Claude agent needs after it finds a result. Search excerpts may be enough for a quick answer, but reading a source in full or returning fields in a defined schema requires different tools.
If your agent needs search, full-page reading, and structured output, Context.dev offers those capabilities through one managed MCP connection. Follow our Context.dev MCP setup guide to connect it to Cursor or Claude.