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Exa AI MCP Server for VS Code Copilot 6 tools — connect in under 2 minutes

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Vinkius supports streamable HTTP and SSE.

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Classic Setup·json
{
  "mcpServers": {
    "exa-ai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Exa AI MCP Server

Empower your AI agent to orchestrate your entire web discovery and semantic search workflow with Exa AI, the search engine built for the future of AI. By connecting Exa to your agent, you transform complex information gathering into a natural conversation. Your agent can instantly search the web using semantic embeddings, audit similar websites through URL matching, and retrieve cleaned page content without you ever touching a browser. Whether you are conducting deep market research or monitoring niche industry trends, your agent acts as a real-time web analyst, ensuring your intelligence is always grounded in contextually relevant data.

GitHub Copilot Agent mode brings Exa AI data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 6 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Semantic Auditing — Query the web using natural language and retrieve results based on meaning rather than just keywords.
  • Similar Discovery — Find websites similar to any provided URL to identify competitors or related sources instantly.
  • Content Oversight — Retrieve cleaned HTML or text content for any search result to maintain a structured view of web data.
  • Usage Intelligence — Monitor your API usage and crawl statistics to maintain strict control over your research budget.
  • Unified Search — Perform search and content retrieval in a single request to optimize agent response times.

The Exa AI MCP Server exposes 6 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Exa AI to VS Code Copilot via MCP

Follow these steps to integrate the Exa AI MCP Server with VS Code Copilot.

01

Create MCP config

Create a .vscode/mcp.json file in your project root

02

Add the server config

Paste the JSON configuration above

03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

04

Start using Exa AI

Ask Copilot: "Using Exa AI, help me...". 6 tools available

Why Use VS Code Copilot with the Exa AI MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Exa AI through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Exa AI + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Exa AI MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Exa AI MCP Tools for VS Code Copilot (6)

These 6 tools become available when you connect Exa AI to VS Code Copilot via MCP:

01

find_similar

Find websites similar to a given URL

02

get_api_usage

Get current API usage and crawl statistics

03

get_contents

Get cleaned HTML/text content for specific Exa IDs

04

get_search_links

Get just the top links for a search query

05

search_web

Search the web semantically using Exa

06

search_with_contents

Search and retrieve contents in one request

Example Prompts for Exa AI in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Exa AI immediately.

01

"Find 5 high-quality research papers about 'Climate Change mitigation' using Exa."

02

"Find sites similar to https://techcrunch.com."

03

"Search for 'future of AI robotics' and give me the full content of the best result."

Troubleshooting Exa AI MCP Server with VS Code Copilot

Common issues when connecting Exa AI to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Exa AI + VS Code Copilot FAQ

Common questions about integrating Exa AI MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

Connect Exa AI to VS Code Copilot

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.