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Exa Search

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Exa Search brings fast, intelligent web search and crawling to any AI agent, purpose-built for the kinds of queries that traditional keyword search engines handle poorly. Instead of returning a list of blue links, Exa understands intent and retrieves semantically relevant pages, making it a strong fit for research agents, competitive analysis bots, and any workflow where an LLM needs current, grounded information from the open web. Its companion feature, Exa-code, is specifically tuned as a context tool for coding agents — surfacing accurate documentation, code snippets, and API references so agents write correct code instead of hallucinating function signatures or outdated syntax.

When hosted through BusinessMCP.com, Exa Search becomes one connector in your unified MCP server rather than a standalone integration you have to babysit. You configure the Exa API credentials once inside the dashboard, and from that point every AI agent your business runs — Claude, GPT, Gemini, or any custom agent — can call web search, page crawling, and code-context lookups through the same /api/mcp endpoint using your mcph_* bearer key. That means no juggling separate SDKs per model vendor, no re-implementing rate limiting or error handling for each agent framework, and no scattered API keys living in five different codebases.

Because BusinessMCP pairs every hosted MCP server with a business-intelligence dashboard, Exa Search usage isn't a black box. Teams can see which agents are issuing search queries, how often crawling tools are invoked, and how Exa-code lookups correlate with coding-agent output quality — giving engineering and ops leads visibility that raw API usage logs from Exa alone wouldn't provide. This is especially useful for companies running multiple AI products or internal tools that all need live web knowledge: instead of five teams each wiring up Exa independently, one hosted connector serves everyone, with a single point of governance, key rotation, and cost tracking.

Typical scenarios include research and market-intelligence agents that need to pull fresh web content beyond a model's training cutoff, customer-support bots that verify claims against live sources before answering, and developer-facing coding assistants that lean on Exa-code to fetch accurate library documentation and reduce hallucinated APIs. Because the hosted endpoint is model-agnostic and cookieless by design, it fits GDPR-conscious environments where you don't want to route sensitive query context through vendor-specific browser extensions or tracking-heavy search plugins.

For teams comparing web-search and crawling options, Exa Search sits alongside general-purpose fetch and crawling tools but differentiates itself with semantic relevance and a dedicated coding-context mode. Pairing it with a headless browsing tool or filesystem connector inside the same MCP server lets agents search, fetch full page content, and act on the results in one continuous tool-calling loop — all exposed through the single hosted endpoint BusinessMCP.com manages for you, so your agents get web search and code-grounding capability without any per-agent integration work.

$ npx mcphosting-cli add exa

Just say it in a thread

No configs, no docs. Once connected, these are the kinds of messages your agents act on.

"Run a semantic web search query and return ranked, relevant results with snippets — and give me the highlights."

"Fetch and extract the full content of a specified url for downstream analysis for me, then post a summary in the thread."

"Retrieve accurate code documentation and snippets via exa-code to ground coding agent responses and flag anything that needs my approval."

What teams use it for

  • Equip a research agent with live web search so answers reflect current information beyond model training data
  • Give a coding assistant Exa-code context lookups to cut down on hallucinated library APIs and outdated syntax
  • Run competitive or market intelligence bots that crawl and summarize target websites on a schedule
  • Verify factual claims in customer-support or content-generation workflows against real-time web sources
  • Feed multiple agents (Claude, GPT, Gemini) the same search and crawl capability through one governed endpoint

Agent-callable tools

search_web

Run a semantic web search query and return ranked, relevant results with snippets.

crawl_page

Fetch and extract the full content of a specified URL for downstream analysis.

get_code_context

Retrieve accurate code documentation and snippets via Exa-code to ground coding agent responses.

find_similar_pages

Given a URL, return semantically similar pages across the web.

summarize_search_results

Return condensed summaries of top search results for a given query.

batch_crawl_urls

Crawl multiple URLs in a single request and return structured page content.

Your data stays yours

Credentials live in your vault. We route requests — we never store, log, or train on your data.

Works with every AI

Connect once — portable across Claude, GPT, Gemini, and every local agent you run.

Frequently asked questions

How does Exa Search differ from a standard search API?

Exa focuses on semantic, intent-based retrieval rather than plain keyword matching, and it includes Exa-code, a dedicated mode for surfacing accurate code documentation and reducing hallucinations in coding agents.

Do I need separate integrations for each AI model I use with Exa?

No — once Exa Search is connected inside BusinessMCP.com, it's exposed through your single /api/mcp endpoint, so Claude, GPT, Gemini or any other agent can call it with the same bearer key.

Can I monitor how often agents are using Exa Search and Exa-code?

Yes, the BusinessMCP business-intelligence dashboard tracks tool usage across your hosted MCP server, including search, crawl, and code-context calls, alongside your other connected tools.

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