DevOps

spendtron.com

An MCP server that ranks a GitHub organization's Actions workflows and repositories by real compute cost using the account's Spendtron connection.

1 endpoint1 known toolsFirst detected September 23, 2026Last detected September 25, 2026

ENDPOINT 1

https://spendtron.com/mcp

No auth detected

MCP server metadata

Name: spendtron
Version: 1.0.0

Capabilities

tools.listChanged

Known tools 1

check_actions_cost

Ranks your GitHub org's Actions workflows and repos by real compute cost, using your account's spendtron connection (no arguments needed — identified by your API key).

Inferred read-only

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.spendtron]
url = "https://spendtron.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "spendtron": {
      "type": "http",
      "url": "https://spendtron.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: spendtron
Remote MCP URL: https://spendtron.com/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": {
    "spendtron": {
      "url": "https://spendtron.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "spendtron": {
      "type": "http",
      "url": "https://spendtron.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "spendtron",
  "transport": "streamable-http",
  "url": "https://spendtron.com/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.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.