AddSearch MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes
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.
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{
"mcpServers": {
"addsearch": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 AddSearch MCP Server
Connect your AddSearch account to your AI agent and turn your site's search index into an interactive, manageable database. Perfect for content teams and developers who need to audit site search performance without opening dashboards.
GitHub Copilot Agent mode brings AddSearch 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
- Deep Search — Query your indexed content using natural language, apply custom field filters (e.g. "category=shoes"), or sort by custom variables
- Document Management — List all indexed pages, import new content directly via JSON, or permanently delete outdated documents from the index
- Search Analytics — Retrieve live statistics on user queries, identifying top searches, zero-result queries, and click-through rates
- Frontend Emulation — Test your auto-suggestions and pagination just like a real user interacting with your search bar
The AddSearch 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 AddSearch to VS Code Copilot via MCP
Follow these steps to integrate the AddSearch MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using AddSearch
Ask Copilot: "Using AddSearch, help me...". 10 tools available
Why Use VS Code Copilot with the AddSearch MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with AddSearch through the Model Context Protocol.
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
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
AddSearch + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the AddSearch MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
AddSearch MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect AddSearch to VS Code Copilot via MCP:
autosuggest
Get autocomplete suggestions
delete_document
Requires Secret Key. Permanently delete a document
index_document
Requires Secret Key. Add or update an indexed document
list_documents
Requires Secret Key. List all indexed documents
search_filtered
g., "category=shoes", "brand=nike"). Search indexed content by custom field
search_keyword
Search indexed content by keyword
search_pagination
Retrieve a specific page of search results
search_sorted
Search indexed content with custom sort
stats_clicks
Requires Secret Key. Retrieve click-through analytics
stats_queries
Requires Secret Key. Retrieve search query analytics
Example Prompts for AddSearch in VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot agent to start working with AddSearch immediately.
"Show me the top search queries that resulted in 0 hits."
"Search my site for "pricing updates" filtered by category=news."
"Test the auto-suggest for the prefix "shoe"."
Troubleshooting AddSearch MCP Server with VS Code Copilot
Common issues when connecting AddSearch to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
AddSearch + VS Code Copilot FAQ
Common questions about integrating AddSearch MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.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 AddSearch with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AddSearch to VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
