AI agents call LLMs, invoke tools, and hit APIs — but have no built-in way to cap spend. A single agent loop can burn hundreds of dollars before anyone notices. Cycles MCP Server gives any MCP-compatible agent a runtime budget authority: tools to check, reserve, spend, and releas

Installation

⭐ RecommendedNPX
npx -y @runcycles/mcp-server
View configuration snippet
{
  "mcpServers": {
    "cycles": {
      "command": "npx",
      "args": [
        "-y",
        "@runcycles/mcp-server"
      ],
      "env": {
        "CYCLES_BASE_URL": "http://localhost:7878",
        "CYCLES_API_KEY": "<YOUR_API_KEY>"
      }
    }
  }
}

💡 Tip: Make sure you have the appropriate package manager installed. Refer to the official documentation for detailed installation instructions.

Compatibility Matrix

Filter:

Cursor

STDIO
stdio:From mcp.so (unverified)

Claude Desktop

STDIO
stdio:From mcp.so (unverified)

MCP Compatible

STDIO
stdio:From mcp.so (unverified)
Verified - Tested by community
Unverified - Not yet tested
⚡ STDIO🌊 SSE🌐 HTTP

Server Information

License:unknown
Classification:active
Source:Data aggregated from public MCP directories

Quick Stats

Transports:
STDIO
Compatible Clients:3
Install Methods:1

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