MCP Server

Last updated: 22/04/2026

Remote MCP Connection

Use these endpoints to connect MCP-compatible clients (Claude.ai web, Cursor, etc.):

Streamable HTTP (new standard)https://lab.sychev.xyz/mcp
Auto-discoveryhttps://lab.sychev.xyz/.well-known/mcp

Specification files

Claude Desktop Configuration

JSON
{
  "mcpServers": {
    "sychev-lab": {
      "command": "npx",
      "args": [
        "-y",
        "sychev-lab-mcp-server"
      ],
      "env": {
        "SYCHEV_LAB_URL": "https://lab.sychev.xyz"
      }
    }
  }
}

What is MCP?

The Model Context Protocol (MCP) is an open protocol that enables AI assistants to securely connect with external tools and data sources. It allows AI models like Claude to interact with your systems in a standardized way.

The Sychev Lab MCP Server provides AI assistants with access to our product catalog, articles, tutorials, and commerce functionality, enabling seamless integration with your workflow.

Installation

You can install the Sychev Lab MCP Server in several ways depending on your setup:

Claude Desktop

To use the MCP server with Claude Desktop, add the following configuration to your Claude Desktop settings:

json
{
  "mcpServers": {
    "sychev-lab": {
      "command": "npx",
      "args": ["-y", "sychev-lab-mcp-server"],
      "env": {
        "SYCHEV_LAB_URL": "https://lab.sychev.xyz"
      }
    }
  }
}

Cursor

For Cursor IDE, add the MCP server to your Cursor settings by creating or editing the MCP configuration file:

json
{
  "mcpServers": {
    "sychev-lab": {
      "command": "npx",
      "args": ["-y", "sychev-lab-mcp-server"],
      "env": {
        "SYCHEV_LAB_URL": "https://lab.sychev.xyz"
      }
    }
  }
}

Command Line (CLI)

You can also run the MCP server directly from the command line:

bash
# Install globally
npm install -g sychev-lab-mcp-server

# Run the server
SYCHEV_LAB_URL=https://lab.sychev.xyz sychev-lab-mcp-server

# Or use npx without installing
SYCHEV_LAB_URL=https://lab.sychev.xyz npx -y sychev-lab-mcp-server

Available Tools

Once connected, the MCP server provides the following tools to AI assistants:

  • Search and browse products in the catalog
  • Get detailed product information and specifications
  • Access articles and tutorials
  • View categories and collections
  • Check product availability and pricing
  • Create secure Stripe checkout sessions

Resources

For more information and support:

GitHub RepositorySource code, issues, and documentation
NPM PackagePackage information and installation
MCP Specificationmcp-server.json with endpoints and capabilities
Model Context ProtocolOfficial MCP documentation