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Data Collection

exa.ai

Searches the web and fetches page content as clean markdown for data collection and research.

x402 supported1 endpoint2 known toolsFirst detected May 29, 2026Last detected August 17, 2026

ENDPOINT 1

https://mcp.exa.ai/mcp

No auth detected

MCP server metadata

Name
exa-search-server
Version
3.2.1
Capabilities
tools.listChangedprompts.listChangedresources.listChanged

Known tools 2

web_search_exa

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

Inferred read-only
web_fetch_exa

Read a webpage's full content as clean markdown.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.exa-search-server]
url = "https://mcp.exa.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "exa-search-server": {
      "type": "http",
      "url": "https://mcp.exa.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: exa-search-server
Remote MCP URL: https://mcp.exa.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "exa-search-server": {
      "url": "https://mcp.exa.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "exa-search-server": {
      "type": "http",
      "url": "https://mcp.exa.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "exa-search-server",
  "transport": "streamable-http",
  "url": "https://mcp.exa.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.