MCP server

spendctl Official

dev.spendctl/spendctl

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

Spend policy for AI agents that pay (x402, MPP). Login-free sandbox, real sidecar, no real funds.

Website

At a glance

Type

MCP server

Publisher

spendctl.dev (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 1,888 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http spendctl https://mcp.spendctl.dev/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.spendctl]
url = "https://mcp.spendctl.dev/mcp"

Gemini CLI

{"mcpServers":{"spendctl":{"httpUrl":"https://mcp.spendctl.dev/mcp"}}}

Cursor

{"mcpServers":{"spendctl":{"url":"https://mcp.spendctl.dev/mcp"}}}

VS Code

{"servers":{"spendctl":{"type":"http","url":"https://mcp.spendctl.dev/mcp"}}}

Antigravity

agy mcp add spendctl https://mcp.spendctl.dev/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"spendctl","server_url":"https://mcp.spendctl.dev/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"spendctl","server_url":"https://mcp.spendctl.dev/mcp"}

Tools

• approve ~354 tokens
  Approves or denies a payment that sandbox_pay reported as waiting for approval, as the human approver would with `spendctl approve`. Use it only with an approval id from this sandbox; in the real product a human decides, in the sandbox the model plays that role. Returns the approval id and its new s
• check_budget ~212 tokens
  Shows the sandbox agent's spending limits, what has been spent in each window and what is left. Use it before a paid call when the remaining budget matters, or after a refusal to see which limit was hit. Returns the agent name and mode, the per-request limit, the approval threshold, what happens whe
• get_policy ~178 tokens
  Returns the sandbox's spendctl.yaml as text: the preset name and the agent's budgets, allowed hosts and approval rules. Use it to explain why a payment was refused or held, or to show what a spendctl policy file looks like. Read-only; the sandbox policy cannot be changed, create a sandbox with anoth
• list_receipts ~250 tokens
  Lists the sandbox agent's most recent payment attempts, newest first: paid (amount and mock transaction hash), refused (reason codes) and waiting for approval. Use it to report what happened so far or to find a receipt id; after a hold, the approval id is in the sandbox_pay result. Returns up to `li
• sandbox_create ~345 tokens
  Creates an isolated spendctl sandbox and returns its sandbox_id. Call it first: every other tool needs the sandbox_id, and one sandbox serves a whole conversation (create another only to try a different preset). The sandbox is a real spendctl sidecar with a throwaway wallet, a mock x402 facilitator
• sandbox_pay Moves money · ~549 tokens
  Fetches one of the sandbox's paid endpoints (HTTP 402, x402) through the spendctl sidecar, which applies the sandbox agent's budget, allowlist and approval policy, pays with the throwaway wallet if allowed, and returns the response. Use it for every paid call in the sandbox: with dryRun to see the d

Browse

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