How to Use the Exa AI MCP in VS Code Copilot

Equip VS Code Copilot with semantic web search and real-time documentation retrieval.

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Connect Exa AI MCP to VS Code Copilot

Create your Vinkius account to connect Exa AI to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Exa AI with VS Code Copilot

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Enterprise search with this MCP Server

Keep your entire engineering team aligned by committing a shared search configuration to your repository. This setup ensures that every developer has the exact same web discovery capabilities directly in their editor. Copilot uses `search_web` to fetch high-fidelity semantic matches for technical queries. Instead of everyone searching Google individually, the editor retrieves unified, high-quality reference links.

Extract clean documentation inside VS Code Copilot

Copying and pasting documentation into Copilot is a massive bottleneck for fast-moving teams. This integration automates the retrieval of clean, markdown-ready text directly from your target URLs. The `get_contents` tool extracts only the meaningful text and code blocks from specific web pages. To speed things up, `search_with_contents` performs the search and the extraction in a single, low-latency call.

Find alternative open-source projects instantly

When evaluating a new library or tool, you need to know what other options exist in the ecosystem. Your editor can now analyze a repository or documentation site to find closely related alternatives. By calling `find_similar`, the tool returns a curated list of websites with matching semantic profiles. You can then use `get_search_links` to isolate the top documentation resources for those alternatives.

Setup guide

Set up Exa AI MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Exa AI MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Exa AI tools listed. Try asking: "List my recent Exa AI transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "exa-ai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Exa AI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Exa AI MCP in VS Code Copilot

You can configure the MCP server in a shared configuration file and commit it to your Git repository. Once committed, every developer on your team gets access to the same tools instantly.

Yes, the tool searches the live web semantically to find relevant code snippets. Copilot uses `search_web` to locate deep technical resources that standard search engines often miss.

You can query your active API statistics directly from the chat interface. The `get_api_usage` tool displays your current crawling volume and credit consumption to keep your team on budget.

Standard search engines rely on keywords and SEO optimization, which often surface low-quality results. This MCP server uses semantic embeddings to find pages based on actual technical concepts and meaning.

All search queries and retrieved HTML contents are transmitted over encrypted TLS connections. The Vinkius runtime sandboxes every request, ensuring that your search history and crawl statistics remain completely isolated.

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