INDIVIDUAL MCP TOOL

lct_get_users

Get LLM cost attribution grouped by user ID, sorted by total spend.

llmcosttracker.comnone authenticationAvailability not checked

Input schema

{}

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

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.llmcosttracker-mcp-server]
url = "https://llmcosttracker.com/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "llmcosttracker-mcp-server": {
      "type": "http",
      "url": "https://llmcosttracker.com/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: llmcosttracker-mcp-server
Remote MCP URL: https://llmcosttracker.com/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": {
    "llmcosttracker-mcp-server": {
      "url": "https://llmcosttracker.com/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "llmcosttracker-mcp-server": {
      "type": "http",
      "url": "https://llmcosttracker.com/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "llmcosttracker-mcp-server",
  "transport": "streamable-http",
  "url": "https://llmcosttracker.com/api/mcp"
}

MCP Inspector

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

lct_get_overview — Get top-level LLM cost KPIs for a project: total spend, call count, average cost per call, and average tokens per call.
lct_get_features — Get LLM cost attribution grouped by feature tag (e.g.
lct_get_feature_detail — Get a full cost breakdown for a single feature tag, including model breakdown, top users, prompt versions, and daily spend timeseries.
lct_get_user_detail — Get a full cost and usage breakdown for a single user ID, including wasted spend, feature breakdown, and daily timeseries.
lct_get_models — Get LLM cost attribution grouped by model, sorted by total spend.
lct_get_timeseries — Get daily LLM spend totals over a time period, optionally filtered to a single feature.