Exa MCP

Exa neural search server — give AI access to neural web search with semantic understanding for researcher-grade results.

TRUSTED · Security verified

Web AI / ML

// Add to your client

{
  "mcpServers": {
    "exa": {
      "command": "npx",
      "args": ["-y", "exa-mcp-server"],
      "env": {
        "EXA_API_KEY": "<your-exa-api-key>"
      }
    }
  }
}

{
  "mcpServers": {
    "exa": {
      "command": "npx",
      "args": ["-y", "exa-mcp-server"],
      "env": {
        "EXA_API_KEY": "<your-exa-api-key>"
      }
    }
  }
}

claude mcp add exa -e EXA_API_KEY=<your-key> -- npx -y exa-mcp-server

Paste into your client's MCP configuration file.

// Try it now

"Find 5 recent blog posts about building AI agents in production"

! Exa is usage-based — each search and page fetch counts against your quota
! Neural search returns different results than keyword — queries that work on Google may need rephrasing
! Full-content fetching adds cost and latency — use it only when you need the body text

Setup

Easy Setup

API key or simple config

Token usage

Light usage

// When to use

You need to find specific types of content (blog posts, research papers, company sites)
Keyword search isn't giving you good results and you want semantic matching
You're doing research and need full article content, not just links
You want to find similar pages to one you already know

// When NOT to use

You just need quick factual lookups (use perplexity or brave-search)
You're searching private or paywalled content
You need traditional keyword search with operators

// Usage Scenarios

Research Paper Discovery

Find academic papers by topic with full abstracts.

Example prompt

"Find 5 recent research papers about retrieval-augmented generation with their abstracts"

Content Type Filtering

Search specifically for startup blogs, docs, or news articles.

Example prompt

"Find startup engineering blog posts about migrating from Postgres to ClickHouse"

Similar Page Discovery

Given a URL, find other pages with similar content.

Example prompt

"Find pages similar to https://stripe.com/press/open-source — I want to discover similar open-source company pages"

// About

Plain English

Imagine asking your AI: 'Find 10 startup blog posts about vector databases' or 'Search for research papers on transformer architectures from 2024' — and it returns high-quality, semantic search results. This server gives your AI access to Exa's neural search so it can find content based on meaning, not just keywords.

The Exa MCP server integrates Exa's neural search engine into AI assistants. Unlike keyword search, Exa uses semantic understanding to find highly relevant results. Supports full-text retrieval, similarity search, and domain filtering.

Preferred for research-heavy workflows where result quality matters more than speed.

GitHub 2.2kUpdated Feb 10, 2025MIT

View on GitHub Official Site