exa

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Fast, intelligent web search and web crawling. New mcp tool: Exa-code is a context tool for coding

Status: Healthy
Last Tested: 2026-03-26 03:30
Transport: Streamable HTTP
URL
Repository: exa-labs/exa-mcp-server
GitHub Stars: 4,092
Server Listing: Exa MCP Server

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Available Tools

3 tools

crawling_exaInspect

Read a webpage's full content as clean markdown. Use after web_search_exa when highlights are insufficient or to read any URL.

Best for: Extracting full content from known URLs. Batch multiple URLs in one call. Returns: Clean text content and metadata from the page(s).

ParametersJSON Schema

Name	Required	Description
`urls`	Yes	URLs to read. Batch multiple URLs in one call.
`subpages`	No	Number of subpages to also crawl from each URL.
`maxAgeHours`	No	Maximum age of cached content in hours. 0 = always fetch fresh content, omit = use cached content with fresh fetch fallback.
`maxCharacters`	No	Maximum characters to extract per page (must be a number, default: 3000)
`subpageTarget`	No	Keywords to prioritize when selecting subpages

get_code_context_exaInspect

Find code examples, documentation, and programming solutions.

Best for: Any programming question - API usage, library examples, code snippets, debugging help. Returns: Relevant code and documentation.

Query tips: describe what you're looking for specifically. "Python requests library POST with JSON body" not "python http". If highlights are insufficient, follow up with crawling_exa on the best URLs.

ParametersJSON Schema

Name	Required	Description	Default
`query`	Yes	Search query to find relevant context for APIs, Libraries, and SDKs. For example, 'React useState hook examples', 'Python pandas dataframe filtering', 'Express.js middleware', 'Next js partial prerendering configuration'
`numResults`	No	Number of search results to return (must be a number, default: 8)

web_search_exaInspect

Search the web for any topic and get clean, ready-to-use content.

Best for: Finding current information, news, facts, or answering questions about any topic. Returns: Clean text content from top search results, ready for LLM use.

Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". If highlights are insufficient, follow up with crawling_exa on the best URLs.

ParametersJSON Schema

Name	Required	Description
`type`	No	Search type - 'auto': balanced search (default), 'fast': quick results
`query`	Yes	Natural language search query. Should be a semantically rich description of the ideal page, not just keywords.
`category`	No	Filter results to a specific category
`freshness`	No	How recent results should be. Only set when recency matters.
`numResults`	No	Number of search results to return (must be a number, default: 8)
`includeDomains`	No	List of domains to include in the search. If specified, results will only come from these domains.

Verify Ownership

Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:

{
  "$schema": "https://glama.ai/mcp/schemas/connector.json",
  "maintainers": [
    {
      "email": "your-email@example.com"
    }
  ]
}

The email address must match the email associated with your Glama account. Once verified, the connector will appear as claimed by you.

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