INDIVIDUAL MCP TOOL

get_usage

Return monthly usage figures used for billing/quota tracking — AI token consumption (split between ingest and chat), vector DB stats, and search/chat query counts.

quantsearch.ainone authenticationAvailability not checked

Input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

A tool name, description or schema mentions credentials.

Parent endpoint

quantsearch.ai

CONNECT 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.quantsearch]
url = "https://mcp.quantsearch.ai/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "quantsearch": {
      "type": "http",
      "url": "https://mcp.quantsearch.ai/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: quantsearch
Remote MCP URL: https://mcp.quantsearch.ai/api/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": {
    "quantsearch": {
      "url": "https://mcp.quantsearch.ai/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "quantsearch": {
      "type": "http",
      "url": "https://mcp.quantsearch.ai/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "quantsearch",
  "transport": "streamable-http",
  "url": "https://mcp.quantsearch.ai/api/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

signup — Create a new QuantSearch organization and return an API key.
whoami — Return the organization the current API token belongs to.
list_sites — List all sites the authenticated organization has indexed for search.
create_site — Create a new site for indexing.
get_site_status — Check the live status and indexed page count of a site.
search — Run a semantic search query against an indexed site.
get_embed_snippet — Return the HTML snippet to embed search on a customer site.
delete_site — Permanently delete a site and its indexed content.