Which server can crawl and map a whole site?

Tavily's. Alongside search it offers tavily-extract, tavily-crawl, and tavily-map, so an agent can pull page content, traverse a site, and map its structure. Exa's server focuses on search (standard and advanced) plus a clean web-fetch tool rather than site crawling.

What does Exa mean by neural search?

Exa's search is embeddings-based — it matches on meaning rather than only keywords — and is tuned to return results and clean, full-page content optimized for LLMs. That emphasis on relevance and model-ready content is its main differentiator from a more operations-broad server like Tavily.

Tavily vs Exa

Tavily MCP and Exa MCP are both official search servers built for AI agents, but they emphasize different strengths. Tavily's server leans into web operations breadth: real-time web search plus page extraction, site crawling, and site mapping, so an agent can not only search but pull content, traverse a site, and map its structure. It runs locally over stdio via npx or remotely at the hosted Tavily MCP endpoint over OAuth. Exa's server leans into neural (embeddings-based) search and clean content for LLMs: web search, an advanced search variant, and a web-fetch tool that returns clean full-page content built for models. It runs locally over stdio via npx or remotely at the hosted Exa endpoint over a bearer token. So Tavily gives an agent a fuller toolkit for working across sites (search, extract, crawl, map), while Exa emphasizes high-quality neural search and LLM-ready page content. Here is a balanced look at how they differ.

How they compare

Dimension	Tavily	Exa
Search emphasis	Real-time web search tuned for agents, paired with content and site tooling.	Neural, embeddings-based search plus an advanced search variant, aimed at relevance for LLMs.
Beyond search	Page extraction, site crawl, and site map tools let the agent traverse and harvest whole sites.	A web-fetch tool returns clean, full-page content built for LLMs; the focus is search-and-fetch rather than crawling.
Toolset breadth	Four tools spanning search, extract, crawl, and map — a broader web-operations surface.	Three tools centered on search (standard and advanced) and clean content fetch.
Hosting and auth	Local over stdio via npx, or hosted remote endpoint over OAuth.	Local over stdio via npx, or hosted remote endpoint over a bearer token.
Best-fit task	Agents that must search, then extract, crawl, and map sites — broad web operations beyond a single query.	Agents that need high-relevance neural search results and clean, LLM-ready page content.

Verdict

Both are official, agent-focused search servers, so choose by whether you want broad web operations or neural-search quality. Pick Tavily's server when an agent needs to do more than search — extract page content, crawl, and map sites — from one toolkit, available locally or hosted. Pick Exa's server when relevance and clean content matter most: neural, embeddings-based search with an advanced variant and a fetch tool that returns LLM-ready page content. In short: Tavily for a fuller search-plus-crawl-plus-map toolkit; Exa for high-quality neural search and clean content. Some agents use both — Exa to find the best results, Tavily to crawl and harvest the sites behind them.

FAQ

Which server can crawl and map a whole site?: Tavily's. Alongside search it offers tavily-extract, tavily-crawl, and tavily-map, so an agent can pull page content, traverse a site, and map its structure. Exa's server focuses on search (standard and advanced) plus a clean web-fetch tool rather than site crawling.
What does Exa mean by neural search?: Exa's search is embeddings-based — it matches on meaning rather than only keywords — and is tuned to return results and clean, full-page content optimized for LLMs. That emphasis on relevance and model-ready content is its main differentiator from a more operations-broad server like Tavily.