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Zenserp MCP Server for VS Code Copilot 10 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": {
    "zenserp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
Zenserp
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
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<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Zenserp MCP Server

Connect your Zenserp account to any AI agent and harness the power of real-time search intelligence through natural conversation.

GitHub Copilot Agent mode brings Zenserp data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Organic Search — Retrieve structured organic results from Google, Bing, Yandex, and DuckDuckGo including titles, URLs, and snippets
  • Image Discovery — Find high-quality images and retrieve direct source or thumbnail URLs across the major search engines
  • Local Intelligence — Search Google Maps for business listings, physical addresses, ratings, and reviews for any location
  • News Monitoring — Retrieve breaking stories and current articles from Google News with precise timestamps and source metadata
  • E-commerce Auditing — Compare product prices and availability by scraping Google Shopping results into structured JSON
  • Video Search — Find indexed videos across various platforms through Google Video and YouTube search tools
  • Geographic Precision — Execute searches with specific location parameters (e.g., 'New York, NY') to see localized results

The Zenserp MCP Server exposes 10 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 Zenserp to VS Code Copilot via MCP

Follow these steps to integrate the Zenserp 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 Zenserp

Ask Copilot: "Using Zenserp, help me...". 10 tools available

Why Use VS Code Copilot with the Zenserp MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Zenserp 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

Zenserp + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Zenserp 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

Zenserp MCP Tools for VS Code Copilot (10)

These 10 tools become available when you connect Zenserp to VS Code Copilot via MCP:

01

search_bing

Retrieves organic search results from Microsoft Bing

02

search_duckduckgo

Retrieves organic search results from DuckDuckGo

03

search_google

Provide a query string and optional location (e.g. "New York,NY"). Retrieves organic search results from Google

04

search_images

Retrieves image search results from Google

05

search_maps

Retrieves local business listings and reviews from Google Maps

06

search_news

Returns articles with titles, snippets, and timestamps. Retrieves current news articles from Google News

07

search_shopping

Retrieves product prices and availability from Google Shopping

08

search_videos

Retrieves video search results from Google Video search

09

search_yandex

Retrieves search results from the Yandex search engine

10

search_youtube

Retrieves search results directly from the YouTube platform

Example Prompts for Zenserp in VS Code Copilot

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

01

"Search Google for 'best CRM software for small business' and show me the top 5 organic results."

02

"Find restaurants in 'Austin, TX' using Google Maps and show their ratings."

03

"What are the current news headlines for 'generative AI'?"

Troubleshooting Zenserp MCP Server with VS Code Copilot

Common issues when connecting Zenserp 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.

Zenserp + VS Code Copilot FAQ

Common questions about integrating Zenserp 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 Zenserp to VS Code Copilot

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.