What does Exa MCP Server do?
It connects AI assistants (like Claude) to the Exa AI Search API, enabling real‑time web searches and specialized lookups (e.g., academic papers, companies, LinkedIn, GitHub) without leaving the conversation.
@MCP-Mirror
Basic information
Mirror of
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"jackedelic_exa-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"exa",
"--client",
"claude"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
Exa MCP Server is a Model Context Protocol server that lets AI assistants like Claude use the Exa AI Search API for real-time web searches. It provides safe, controlled access to web information through a set of specialized search and content extraction tools.
Install globally via npm (npm install -g exa-mcp-server) or use the remote hosted MCP server at https://mcp.exa.ai/mcp?exaApiKey=your-exa-api-key. Configure Claude Desktop by adding an entry to claude_desktop_config.json with your Exa API key and optionally specify which tools to enable using the --tools argument.
web_search_exa)research_paper_search)company_research)crawling)competitor_finder)linkedin_search)wikipedia_search_exa)github_search)It connects AI assistants (like Claude) to the Exa AI Search API, enabling real‑time web searches and specialized lookups (e.g., academic papers, companies, LinkedIn, GitHub) without leaving the conversation.
Obtain an API key from the Exa dashboard at [dashboard.exa.ai/api-keys](https://dashboard.exa.ai/api-keys). The key is required for both local and remote usage.
Yes. You can connect directly to Exa's hosted MCP server by using the remote URL `https://mcp.exa.ai/mcp?exaApiKey=your-exa-api-key` (via `mcp-remote`).
Eight tools are available: web_search_exa, research_paper_search, company_research, crawling, competitor_finder, linkedin_search, wikipedia_search_exa, and github_search. You can enable a subset by passing a comma‑separated list to the `--tools` argument.
Install globally with `npm install -g exa-mcp-server`, or use Smithery via `npx -y @smithery/cli install exa --client claude`. For remote use, simply configure the MCP remote URL.

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