eCommerce
capital-health.ru
An e-commerce product catalog MCP server that searches products, retrieves product details and analogs, and lists Russian delivery regions and approved catalog goals.
ENDPOINT 1
https://mcp.capital-health.ru/mcp
MCP server metadata
- Name
- capital-health
- Version
- 0.1.0
Known tools 6
products_searchSearch available products by text, brand, form, price and optional approved goal.
Inferred read-onlyproduct_detailsRead one available product and manufacturer information for a selected Russian delivery region.
Inferred read-onlycart_link_createCreate a shareable product-selection link valid for 24 hours from creation.
Potential side effectsCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.capital-health]
url = "https://mcp.capital-health.ru/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"capital-health": {
"type": "http",
"url": "https://mcp.capital-health.ru/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: capital-health
Remote MCP URL: https://mcp.capital-health.ru/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"capital-health": {
"url": "https://mcp.capital-health.ru/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"capital-health": {
"type": "http",
"url": "https://mcp.capital-health.ru/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "capital-health",
"transport": "streamable-http",
"url": "https://mcp.capital-health.ru/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.